url stringlengths 55 59 | repository_url stringclasses 1
value | labels_url stringlengths 69 73 | comments_url stringlengths 64 68 | events_url stringlengths 62 66 | html_url stringlengths 44 49 | id int64 338k 1.06B | node_id stringlengths 18 32 | number int64 1 44.6k | title stringlengths 1 590 | user dict | labels listlengths 0 9 | state stringclasses 2
values | locked bool 2
classes | assignee dict | assignees listlengths 0 5 | milestone dict | comments int64 0 477 | created_at timestamp[us, tz=UTC] | updated_at timestamp[us, tz=UTC] | closed_at timestamp[us, tz=UTC] | author_association stringclasses 3
values | active_lock_reason stringclasses 4
values | body stringlengths 0 251k ⌀ | reactions dict | timeline_url stringlengths 64 68 | performed_via_github_app float64 | draft float64 0 1 ⌀ | pull_request dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/pandas-dev/pandas/issues/25313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25313/events | https://github.com/pandas-dev/pandas/issues/25313 | 410,115,565 | MDU6SXNzdWU0MTAxMTU1NjU= | 25,313 | Add helpful error message to get_loc | {
"avatar_url": "https://avatars.githubusercontent.com/u/4535737?v=4",
"events_url": "https://api.github.com/users/felixvd/events{/privacy}",
"followers_url": "https://api.github.com/users/felixvd/followers",
"following_url": "https://api.github.com/users/felixvd/following{/other_user}",
"gists_url": "https://api.github.com/users/felixvd/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/felixvd",
"id": 4535737,
"login": "felixvd",
"node_id": "MDQ6VXNlcjQ1MzU3Mzc=",
"organizations_url": "https://api.github.com/users/felixvd/orgs",
"received_events_url": "https://api.github.com/users/felixvd/received_events",
"repos_url": "https://api.github.com/users/felixvd/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/felixvd/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/felixvd/subscriptions",
"type": "User",
"url": "https://api.github.com/users/felixvd"
} | [
{
"color": "ffa0ff",
"default": false,
"description": "Incorrect or improved errors from pandas",
"id": 42670965,
"name": "Error Reporting",
"node_id": "MDU6TGFiZWw0MjY3MDk2NQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Error%20Reporting"
},
{
"color": "207d... | closed | false | null | [] | null | 5 | 2019-02-14T04:00:07Z | 2019-02-18T16:37:03Z | 2019-02-18T16:37:03Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'time':[1, 1.5, 2], 'data':[5, 7, 9]})
df = df.set_index('time')
idx = df.index.get_loc(1.75)
```
#### Problem description
The error message for the code above is cumbersome and does not give a hint to new users what the problem is:
<details>
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
3077 try:
-> 3078 return self._engine.get_loc(key)
3079 except KeyError:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()
KeyError: 1.75
During handling of the above exception, another exception occurred:
KeyError Traceback (most recent call last)
<ipython-input-136-0d357b65fb38> in <module>
1 df = pd.DataFrame({'time':[1, 1.5, 2, 2.5, 3], 'data':[5, 7, 9, 11, 13]})
2 df = df.set_index('time')
----> 3 idx = df.index.get_loc(1.75)
~/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/numeric.py in get_loc(self, key, method, tolerance)
417 pass
418 return super(Float64Index, self).get_loc(key, method=method,
--> 419 tolerance=tolerance)
420
421 @cache_readonly
~/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
3078 return self._engine.get_loc(key)
3079 except KeyError:
-> 3080 return self._engine.get_loc(self._maybe_cast_indexer(key))
3081
3082 indexer = self.get_indexer([key], method=method, tolerance=tolerance)
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()
KeyError: 1.75
</details>
#### Expected Output
Instead of the 48 lines of traceback log and a raw KeyError, the line "*Value was not found in index. To match the closest value, use the parameter method='nearest'*" would be significantly more helpful.
Is there a guideline on messages like this for common user errors? Would a PR to make [this line](https://github.com/pandas-dev/pandas/blob/6a8e7087831193afbc3e1799460614506743077b/pandas/core/indexes/base.py#L2664) verbose be welcome?
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.1.final.0
python-bits: 64
OS: Linux
OS-release: 4.15.0-45-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.23.4
pytest: 4.0.2
pip: 18.1
setuptools: 40.6.3
Cython: 0.29.2
numpy: 1.15.4
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 7.2.0
sphinx: 1.8.2
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.7
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.12
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml: 4.2.5
bs4: 4.6.3
html5lib: 1.0.1
sqlalchemy: 1.2.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25313/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25313/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25314/events | https://github.com/pandas-dev/pandas/issues/25314 | 410,123,901 | MDU6SXNzdWU0MTAxMjM5MDE= | 25,314 | fail to build | {
"avatar_url": "https://avatars.githubusercontent.com/u/4354888?v=4",
"events_url": "https://api.github.com/users/xieyuheng/events{/privacy}",
"followers_url": "https://api.github.com/users/xieyuheng/followers",
"following_url": "https://api.github.com/users/xieyuheng/following{/other_user}",
"gists_url": "https://api.github.com/users/xieyuheng/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/xieyuheng",
"id": 4354888,
"login": "xieyuheng",
"node_id": "MDQ6VXNlcjQzNTQ4ODg=",
"organizations_url": "https://api.github.com/users/xieyuheng/orgs",
"received_events_url": "https://api.github.com/users/xieyuheng/received_events",
"repos_url": "https://api.github.com/users/xieyuheng/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/xieyuheng/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/xieyuheng/subscriptions",
"type": "User",
"url": "https://api.github.com/users/xieyuheng"
} | [] | closed | false | null | [] | null | 0 | 2019-02-14T04:39:18Z | 2019-02-14T04:53:00Z | 2019-02-14T04:53:00Z | NONE | null | ```
pip install -e .
Obtaining file:///home/xyh/sd0/lang/python/lib/pandas
Requirement already satisfied: python-dateutil>=2.5.0 in /home/xyh/sd0/miniconda3/lib/python3.6/site-packages (from pandas==0.25.0.dev0+114.g6a8e70878) (2.7.5)
Requirement already satisfied: pytz>=2011k in /home/xyh/sd0/miniconda3/lib/python3.6/site-packages (from pandas==0.25.0.dev0+114.g6a8e70878) (2018.9)
Requirement already satisfied: numpy>=1.12.0 in /home/xyh/sd0/miniconda3/lib/python3.6/site-packages (from pandas==0.25.0.dev0+114.g6a8e70878) (1.14.6)
Requirement already satisfied: six>=1.5 in /home/xyh/sd0/miniconda3/lib/python3.6/site-packages (from python-dateutil>=2.5.0->pandas==0.25.0.dev0+114.g6a8e70878) (1.12.0)
Installing collected packages: pandas
Found existing installation: pandas 0.23.4
Uninstalling pandas-0.23.4:
Successfully uninstalled pandas-0.23.4
Running setup.py develop for pandas
Complete output from command /home/xyh/sd0/miniconda3/bin/python -c "import setuptools, tokenize;__file__='/home/xyh/sd0/lang/python/lib/pandas/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" develop --no-deps:
running develop
running egg_info
writing pandas.egg-info/PKG-INFO
writing dependency_links to pandas.egg-info/dependency_links.txt
writing requirements to pandas.egg-info/requires.txt
writing top-level names to pandas.egg-info/top_level.txt
reading manifest file 'pandas.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
no previously-included directories found matching 'doc/build'
warning: no previously-included files matching '*.pyc' found anywhere in distribution
warning: no previously-included files matching '*.pyd' found anywhere in distribution
warning: no previously-included files matching '*.so' found anywhere in distribution
warning: no previously-included files matching '*~' found anywhere in distribution
warning: no previously-included files matching '.DS_Store' found anywhere in distribution
warning: no previously-included files matching '.git*' found anywhere in distribution
warning: no previously-included files matching '#*' found anywhere in distribution
writing manifest file 'pandas.egg-info/SOURCES.txt'
running build_ext
building 'pandas._libs.algos' extension
creating build
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/pandas
creating build/temp.linux-x86_64-3.6/pandas/_libs
gcc -pthread -B /home/xyh/sd0/miniconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DNPY_NO_DEPRECATED_API=0 -I./pandas/_libs -Ipandas/_libs/src/klib -Ipandas/_libs/src -I/home/xyh/sd0/miniconda3/lib/python3.6/site-packages/numpy/core/include -I/home/xyh/sd0/miniconda3/include/python3.6m -c pandas/_libs/algos.c -o build/temp.linux-x86_64-3.6/pandas/_libs/algos.o -Wno-unused-function
In file included from /home/xyh/sd0/miniconda3/lib/python3.6/site-packages/numpy/core/include/numpy/ndarraytypes.h:1816,
from /home/xyh/sd0/miniconda3/lib/python3.6/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /home/xyh/sd0/miniconda3/lib/python3.6/site-packages/numpy/core/include/numpy/arrayobject.h:4,
from pandas/_libs/algos.c:663:
/home/xyh/sd0/miniconda3/lib/python3.6/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
gcc -pthread -shared -B /home/xyh/sd0/miniconda3/compiler_compat -L/home/xyh/sd0/miniconda3/lib -Wl,-rpath=/home/xyh/sd0/miniconda3/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/pandas/_libs/algos.o -o /home/xyh/sd0/lang/python/lib/pandas/pandas/_libs/algos.cpython-36m-x86_64-linux-gnu.so
/home/xyh/sd0/miniconda3/compiler_compat/ld: build/temp.linux-x86_64-3.6/pandas/_libs/algos.o: unable to initialize decompress status for section .debug_info
/home/xyh/sd0/miniconda3/compiler_compat/ld: build/temp.linux-x86_64-3.6/pandas/_libs/algos.o: unable to initialize decompress status for section .debug_info
/home/xyh/sd0/miniconda3/compiler_compat/ld: build/temp.linux-x86_64-3.6/pandas/_libs/algos.o: unable to initialize decompress status for section .debug_info
/home/xyh/sd0/miniconda3/compiler_compat/ld: build/temp.linux-x86_64-3.6/pandas/_libs/algos.o: unable to initialize decompress status for section .debug_info
build/temp.linux-x86_64-3.6/pandas/_libs/algos.o: file not recognized: file format not recognized
collect2: error: ld returned 1 exit status
error: command 'gcc' failed with exit status 1
----------------------------------------
Rolling back uninstall of pandas
Command "/home/xyh/sd0/miniconda3/bin/python -c "import setuptools, tokenize;__file__='/home/xyh/sd0/lang/python/lib/pandas/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" develop --no-deps" failed with error code 1 in /home/xyh/sd0/lang/python/lib/pandas/
```
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25314/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25314/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25315/events | https://github.com/pandas-dev/pandas/pull/25315 | 410,129,764 | MDExOlB1bGxSZXF1ZXN0MjUyOTQxMTcy | 25,315 | ... | {
"avatar_url": "https://avatars.githubusercontent.com/u/4354888?v=4",
"events_url": "https://api.github.com/users/xieyuheng/events{/privacy}",
"followers_url": "https://api.github.com/users/xieyuheng/followers",
"following_url": "https://api.github.com/users/xieyuheng/following{/other_user}",
"gists_url": "https://api.github.com/users/xieyuheng/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/xieyuheng",
"id": 4354888,
"login": "xieyuheng",
"node_id": "MDQ6VXNlcjQzNTQ4ODg=",
"organizations_url": "https://api.github.com/users/xieyuheng/orgs",
"received_events_url": "https://api.github.com/users/xieyuheng/received_events",
"repos_url": "https://api.github.com/users/xieyuheng/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/xieyuheng/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/xieyuheng/subscriptions",
"type": "User",
"url": "https://api.github.com/users/xieyuheng"
} | [
{
"color": "729FCF",
"default": false,
"description": null,
"id": 233160,
"name": "Groupby",
"node_id": "MDU6TGFiZWwyMzMxNjA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Groupby"
}
] | closed | false | null | [] | null | 3 | 2019-02-14T05:05:55Z | 2019-02-15T17:38:52Z | 2019-02-15T10:31:33Z | NONE | null | ... | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25315/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25315/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25315.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25315",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25315.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25315"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25316/events | https://github.com/pandas-dev/pandas/issues/25316 | 410,167,963 | MDU6SXNzdWU0MTAxNjc5NjM= | 25,316 | Missing required dependencies ['numpy'] on pandas 0.24.1 | {
"avatar_url": "https://avatars.githubusercontent.com/u/17949485?v=4",
"events_url": "https://api.github.com/users/Skeletrox/events{/privacy}",
"followers_url": "https://api.github.com/users/Skeletrox/followers",
"following_url": "https://api.github.com/users/Skeletrox/following{/other_user}",
"gists_url": "https://api.github.com/users/Skeletrox/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Skeletrox",
"id": 17949485,
"login": "Skeletrox",
"node_id": "MDQ6VXNlcjE3OTQ5NDg1",
"organizations_url": "https://api.github.com/users/Skeletrox/orgs",
"received_events_url": "https://api.github.com/users/Skeletrox/received_events",
"repos_url": "https://api.github.com/users/Skeletrox/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Skeletrox/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Skeletrox/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Skeletrox"
} | [] | closed | false | null | [] | null | 6 | 2019-02-14T07:38:51Z | 2020-01-10T18:08:42Z | 2019-02-14T08:49:07Z | NONE | null | #### Code Sample with obtained output
```python
import pandas as pd
# --------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-2-7dd3504c366f> in <module>
----> 1 import pandas as pd
~/.local/lib/python3.6/site-packages/pandas/__init__.py in <module>
17 if missing_dependencies:
18 raise ImportError(
---> 19 "Missing required dependencies {0}".format(missing_dependencies))
20 del hard_dependencies, dependency, missing_dependencies
21
ImportError: Missing required dependencies ['numpy']
```
#### pip3 show outputs
```bash
➜ pip3 show pandas
Name: pandas
Version: 0.24.1
Summary: Powerful data structures for data analysis, time series, and statistics
Home-page: http://pandas.pydata.org
Author: None
Author-email: None
License: BSD
Location: /home/skeletrox/.local/lib/python3.6/site-packages
Requires: numpy, python-dateutil, pytz
➜ pip3 show numpy
Name: numpy
Version: 1.16.1
Summary: NumPy is the fundamental package for array computing with Python.
Home-page: https://www.numpy.org
Author: Travis E. Oliphant et al.
Author-email: None
License: BSD
Location: /home/skeletrox/.local/lib/python3.6/site-packages
Requires:
```
#### System
* Linux Mint 19.1 Tessa
* `pip3 --version` output: `pip 9.0.1 from /usr/lib/python3/dist-packages (python 3.6)`
#### Problem description
Recently updated pandas using `pip3 install -U pandas` and tried running the code again, leading to the above issue.
#### Attempted Fixes
Tried reinstalling both numpy and pandas, and cleared cache so as to force `pip3` to pull from remote.
```
➜ pip3 uninstall pandas && pip3 uninstall numpy && pip3 install numpy && pip3 install pandas
```
yet the issue remains consistent.
#### Expected result
Successful import of pandas
| {
"+1": 1,
"-1": 0,
"confused": 3,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 4,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25316/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25316/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25317/events | https://github.com/pandas-dev/pandas/issues/25317 | 410,238,239 | MDU6SXNzdWU0MTAyMzgyMzk= | 25,317 | Subtracting two data time series with NaT yields Overflow error | {
"avatar_url": "https://avatars.githubusercontent.com/u/46397977?v=4",
"events_url": "https://api.github.com/users/mjuzlova/events{/privacy}",
"followers_url": "https://api.github.com/users/mjuzlova/followers",
"following_url": "https://api.github.com/users/mjuzlova/following{/other_user}",
"gists_url": "https://api.github.com/users/mjuzlova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mjuzlova",
"id": 46397977,
"login": "mjuzlova",
"node_id": "MDQ6VXNlcjQ2Mzk3OTc3",
"organizations_url": "https://api.github.com/users/mjuzlova/orgs",
"received_events_url": "https://api.github.com/users/mjuzlova/received_events",
"repos_url": "https://api.github.com/users/mjuzlova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mjuzlova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mjuzlova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mjuzlova"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "AFEEEE",
"default": false,
"description": null,
"id": 211840,
... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 1 | 2019-02-14T10:46:31Z | 2019-02-20T10:52:02Z | 2019-02-20T10:52:02Z | NONE | null | #### Problem description
If I have a series of DateTime values and I want to subtract another series with DateTime value which contains NaT, in some case I get OverflowError.
#### Code Sample, a copy-pastable example if possible
```python
s1 = pd.Series([pd.to_datetime('1969-12-31')])
s2 = pd.Series([pd.to_datetime('NaT')])
s1 - s2
```
#### Expected Output
```
0 NaT
dtype: timedelta64[ns]
```
#### OverflowError
<details>
OverflowError Traceback (most recent call last)
<ipython-input-64-8dfa2778fb13> in <module>
1 s1 = pd.Series([pd.to_datetime('1969-12-31')])
2 s2 = pd.Series([pd.to_datetime('NaT')])
----> 3 s1-s2
/opt/anaconda3/envs/calf2cow/lib/python3.6/site-packages/pandas/core/ops.py in wrapper(left, right)
1550 # test_dt64_series_add_intlike, which the index dispatching handles
1551 # specifically.
-> 1552 result = dispatch_to_index_op(op, left, right, pd.DatetimeIndex)
1553 return construct_result(left, result,
1554 index=left.index, name=res_name,
/opt/anaconda3/envs/calf2cow/lib/python3.6/site-packages/pandas/core/ops.py in dispatch_to_index_op(op, left, right, index_class)
1189 left_idx = left_idx._shallow_copy(freq=None)
1190 try:
-> 1191 result = op(left_idx, right)
1192 except NullFrequencyError:
1193 # DatetimeIndex and TimedeltaIndex with freq == None raise ValueError
/opt/anaconda3/envs/calf2cow/lib/python3.6/site-packages/pandas/core/ops.py in wrapper(left, right)
1550 # test_dt64_series_add_intlike, which the index dispatching handles
1551 # specifically.
-> 1552 result = dispatch_to_index_op(op, left, right, pd.DatetimeIndex)
1553 return construct_result(left, result,
1554 index=left.index, name=res_name,
/opt/anaconda3/envs/calf2cow/lib/python3.6/site-packages/pandas/core/ops.py in dispatch_to_index_op(op, left, right, index_class)
1189 left_idx = left_idx._shallow_copy(freq=None)
1190 try:
-> 1191 result = op(left_idx, right)
1192 except NullFrequencyError:
1193 # DatetimeIndex and TimedeltaIndex with freq == None raise ValueError
/opt/anaconda3/envs/calf2cow/lib/python3.6/site-packages/pandas/core/ops.py in rsub(left, right)
146
147 def rsub(left, right):
--> 148 return right - left
149
150
/opt/anaconda3/envs/calf2cow/lib/python3.6/site-packages/pandas/core/indexes/datetimelike.py in __sub__(self, other)
499 def __sub__(self, other):
500 # dispatch to ExtensionArray implementation
--> 501 result = self._data.__sub__(maybe_unwrap_index(other))
502 return wrap_arithmetic_op(self, other, result)
503
/opt/anaconda3/envs/calf2cow/lib/python3.6/site-packages/pandas/core/arrays/datetimelike.py in __sub__(self, other)
1273 elif is_datetime64_dtype(other) or is_datetime64tz_dtype(other):
1274 # DatetimeIndex, ndarray[datetime64]
-> 1275 result = self._sub_datetime_arraylike(other)
1276 elif is_period_dtype(other):
1277 # PeriodIndex
/opt/anaconda3/envs/calf2cow/lib/python3.6/site-packages/pandas/core/arrays/datetimes.py in _sub_datetime_arraylike(self, other)
722 other_i8 = other.asi8
723 new_values = checked_add_with_arr(self_i8, -other_i8,
--> 724 arr_mask=self._isnan)
725 if self._hasnans or other._hasnans:
726 mask = (self._isnan) | (other._isnan)
/opt/anaconda3/envs/calf2cow/lib/python3.6/site-packages/pandas/core/algorithms.py in checked_add_with_arr(arr, b, arr_mask, b_mask)
936
937 if to_raise:
--> 938 raise OverflowError("Overflow in int64 addition")
939 return arr + b
940
OverflowError: Overflow in int64 addition
</details>
#### Details
I think the problem is not masking NaT values in the second series when checking overflow in function `_sub_datetime_arraylike(self, other)` in `pandas/core/arrays/datetimes.py`. As a result, if the date is internally represented as a negative integer, the subtraction overflows. However, if the date is positive of NaT is in the first series, everything works fine.
#### Other examples:
```python
s1 = pd.Series([pd.to_datetime('1970-01-01')])
s2 = pd.Series([pd.to_datetime('NaT')])
print(s1 - s2)
s1 = pd.Series([pd.to_datetime('1969-12-31')])
s2 = pd.Series([pd.to_datetime('NaT')])
print(s2 - s1)
print(pd.to_datetime('1969-12-31') - pd.to_datetime('NaT'))
```
Output
```
0 NaT
dtype: timedelta64[ns]
0 NaT
dtype: timedelta64[ns]
NaT
```
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25317/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25317/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25318 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25318/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25318/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25318/events | https://github.com/pandas-dev/pandas/issues/25318 | 410,284,217 | MDU6SXNzdWU0MTAyODQyMTc= | 25,318 | pd.Categorical(Series, categories=..) returns broken data with out-of-bound codes | {
"avatar_url": "https://avatars.githubusercontent.com/u/18488?v=4",
"events_url": "https://api.github.com/users/batterseapower/events{/privacy}",
"followers_url": "https://api.github.com/users/batterseapower/followers",
"following_url": "https://api.github.com/users/batterseapower/following{/other_user}",
"gists_url": "https://api.github.com/users/batterseapower/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/batterseapower",
"id": 18488,
"login": "batterseapower",
"node_id": "MDQ6VXNlcjE4NDg4",
"organizations_url": "https://api.github.com/users/batterseapower/orgs",
"received_events_url": "https://api.github.com/users/batterseapower/received_events",
"repos_url": "https://api.github.com/users/batterseapower/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/batterseapower/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/batterseapower/subscriptions",
"type": "User",
"url": "https://api.github.com/users/batterseapower"
} | [
{
"color": "e11d21",
"default": false,
"description": "Functionality that used to work in a prior pandas version",
"id": 32815646,
"name": "Regression",
"node_id": "MDU6TGFiZWwzMjgxNTY0Ng==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Regression"
},
{
"color": ... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 3 | 2019-02-14T12:49:34Z | 2019-03-03T02:36:37Z | 2019-03-03T02:36:37Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
c1 = pd.Categorical(['A', 'B', 'B', 'C'])
# Works as expected:
#c2 = pd.Categorical(c1, categories=c1.categories[1:])
# Generates broken data:
c2 = pd.Categorical(pd.Series(c1), categories=c1.categories[1:])
print(c1[:2])
print(c2[:2])
print(c2.codes.max(), len(c2.categories))
```
Prints:
```python
[A, B]
Categories (3, object): [A, B, C]
[B, C]
Categories (2, object): [B, C]
2 2
```
#### Problem description
`pd.Categorical` should not be able to construct an object where `codes` is `>= len(categories)`. If it does this, then it's very likely that passing the array into other Pandas functions will trigger a segfault. For example, if you try to use this `Categorical` as a column in `pd.concat` then Python just dies:
```
>>> pd.concat([pd.DataFrame.from_dict({'A': c2}), pd.DataFrame.from_dict({'A': c2})], axis=0)
C:\>echo %ERRORLEVEL%
-1073741819
```
#### Expected Output
```python
[A, B]
Categories (3, object): [A, B, C]
[NaN, B]
Categories (2, object): [B, C]
1 2
```
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 63 Stepping 2, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.24.1
pytest: 3.1.2
pip: 19.0.2
setuptools: 39.0.1
Cython: 0.27.2
numpy: 1.16.1
scipy: 1.2.1
pyarrow: 0.9.0
xarray: None
IPython: 6.1.0
sphinx: None
patsy: 0.4.1
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: 1.3.0.dev0
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 2.2.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: 3.8.0
bs4: 4.6.0
html5lib: 0.9999999
sqlalchemy: 1.1.11
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: 0.1.5
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25318/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25318/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25319 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25319/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25319/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25319/events | https://github.com/pandas-dev/pandas/issues/25319 | 410,289,309 | MDU6SXNzdWU0MTAyODkzMDk= | 25,319 | .isin() includes unwanted string value in a column with 0 instead of dropping them | {
"avatar_url": "https://avatars.githubusercontent.com/u/33796896?v=4",
"events_url": "https://api.github.com/users/StevenLi-DS/events{/privacy}",
"followers_url": "https://api.github.com/users/StevenLi-DS/followers",
"following_url": "https://api.github.com/users/StevenLi-DS/following{/other_user}",
"gists_url": "https://api.github.com/users/StevenLi-DS/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/StevenLi-DS",
"id": 33796896,
"login": "StevenLi-DS",
"node_id": "MDQ6VXNlcjMzNzk2ODk2",
"organizations_url": "https://api.github.com/users/StevenLi-DS/orgs",
"received_events_url": "https://api.github.com/users/StevenLi-DS/received_events",
"repos_url": "https://api.github.com/users/StevenLi-DS/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/StevenLi-DS/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/StevenLi-DS/subscriptions",
"type": "User",
"url": "https://api.github.com/users/StevenLi-DS"
} | [
{
"color": "0052cc",
"default": false,
"description": null,
"id": 34444536,
"name": "Usage Question",
"node_id": "MDU6TGFiZWwzNDQ0NDUzNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Usage%20Question"
}
] | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 2361,
"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisvandenbossche/followers",
"following_url": "https://api.github.com/users/jorisvandenbossche/following{/other_user}",
"gists_url": "https://api.github.com/users/jorisvandenbossche/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jorisvandenbossche",
"id": 1020496,
"login": "jorisvandenbossche",
"node_id": "MDQ6VXNlcjEwMjA0OTY=",
"organizations_url": "https://api.github.com/users/jorisvandenbossche/orgs",
"received_events_url": "https://api.github.com/users/jorisvandenbossche/received_events",
"repos_url": "https://api.github.com/users/jorisvandenbossche/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jorisvandenbossche/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jorisvandenbossche"
},
"description": "A milestone for closed or open issues for which there is no action needed (eg not a bug, just a question / discussion, nothing to resolve, wontfix, etc).\r\n\r\n",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/33",
"id": 997544,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33/labels",
"node_id": "MDk6TWlsZXN0b25lOTk3NTQ0",
"number": 33,
"open_issues": 11,
"state": "open",
"title": "No action",
"updated_at": "2021-11-19T17:33:16Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33"
} | 4 | 2019-02-14T13:02:50Z | 2019-02-19T14:50:48Z | 2019-02-14T13:50:51Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
[in]:
import pandas as pd
import seaborn as sns
df = sns.load_dataset('tips')
df.day.value_counts()
[out]:
Sat 87
Sun 76
Thur 62
Fri 19
Name: day, dtype: int64
[in]:
days = ['Sat', 'Sun', 'Thur']
df1 = df[df.day.isin(days)]
# or
# df1 = df.loc[df.day.isin(days)]
df1.day.value_counts()
[out]:
Sat 87
Sun 76
Thur 62
Fri 0
Name: day, dtype: int64
```
However, I expect `.isin()` returns
```python
Sat 87
Sun 76
Thur 62
Name: day, dtype: int64
```
Here's a side affect while plotting using seaborn:
```python
sns.boxplot(x='day', y='total_bill', data=df1)
```
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.8.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 142 Stepping 10, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.24.1
pytest: 3.7.1
pip: 18.1
setuptools: 40.2.0
Cython: 0.29.4
numpy: 1.15.4
scipy: 1.2.0
pyarrow: None
xarray: 0.11.0
IPython: 7.1.1
sphinx: 1.7.6
patsy: 0.5.1
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.5
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.5
lxml.etree: 4.2.4
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: 1.2.10
pymysql: None
psycopg2: 2.7.6.1 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25319/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25319/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25320 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25320/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25320/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25320/events | https://github.com/pandas-dev/pandas/pull/25320 | 410,298,432 | MDExOlB1bGxSZXF1ZXN0MjUzMDcwODYz | 25,320 | fix the function find_common_types bug | {
"avatar_url": "https://avatars.githubusercontent.com/u/10137?v=4",
"events_url": "https://api.github.com/users/ghost/events{/privacy}",
"followers_url": "https://api.github.com/users/ghost/followers",
"following_url": "https://api.github.com/users/ghost/following{/other_user}",
"gists_url": "https://api.github.com/users/ghost/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ghost",
"id": 10137,
"login": "ghost",
"node_id": "MDQ6VXNlcjEwMTM3",
"organizations_url": "https://api.github.com/users/ghost/orgs",
"received_events_url": "https://api.github.com/users/ghost/received_events",
"repos_url": "https://api.github.com/users/ghost/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ghost/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghost/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ghost"
} | [
{
"color": "009800",
"default": false,
"description": "Sparse Data Type",
"id": 49182326,
"name": "Sparse",
"node_id": "MDU6TGFiZWw0OTE4MjMyNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Sparse"
},
{
"color": "eb6420",
"default": false,
"description"... | closed | false | null | [] | null | 6 | 2019-02-14T13:25:32Z | 2019-03-20T02:05:31Z | 2019-03-20T02:05:31Z | NONE | null | ` types[0]` can raise a KeyError when `types` is a `pd.Series` . see issue #25270
- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25320/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25320/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25320.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25320",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25320.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25320"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25321 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25321/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25321/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25321/events | https://github.com/pandas-dev/pandas/issues/25321 | 410,306,449 | MDU6SXNzdWU0MTAzMDY0NDk= | 25,321 | Enable chunks for the read_gbq() function | {
"avatar_url": "https://avatars.githubusercontent.com/u/26500236?v=4",
"events_url": "https://api.github.com/users/NotSoShaby/events{/privacy}",
"followers_url": "https://api.github.com/users/NotSoShaby/followers",
"following_url": "https://api.github.com/users/NotSoShaby/following{/other_user}",
"gists_url": "https://api.github.com/users/NotSoShaby/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/NotSoShaby",
"id": 26500236,
"login": "NotSoShaby",
"node_id": "MDQ6VXNlcjI2NTAwMjM2",
"organizations_url": "https://api.github.com/users/NotSoShaby/orgs",
"received_events_url": "https://api.github.com/users/NotSoShaby/received_events",
"repos_url": "https://api.github.com/users/NotSoShaby/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/NotSoShaby/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/NotSoShaby/subscriptions",
"type": "User",
"url": "https://api.github.com/users/NotSoShaby"
} | [] | closed | false | null | [] | null | 1 | 2019-02-14T13:44:42Z | 2019-02-14T14:00:18Z | 2019-02-14T14:00:18Z | NONE | null | #### Problem description
Reading large tables from google big query takes a long time and sometimes gets stuck. adding a chunksize option (like in other providers and the to_gbq() function) will be a nice addition.
#### Expected Output
#### Output of ``pd.show_versions()``
<details>
pandas: 0.23.4
pytest: 3.5.0
pip: 18.1
setuptools: 40.6.3
Cython: 0.26.1
numpy: 1.15.4
scipy: 0.19.1
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: None
tables: 3.4.2
numexpr: 2.6.9
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: None
lxml: 4.1.1
bs4: 4.4.1
html5lib: 0.9999999
sqlalchemy: 1.2.12
pymysql: 0.9.2
psycopg2: 2.7.3.2 (dt dec pq3 ext lo64)
jinja2: 2.9.6
s3fs: None
fastparquet: 0.2.1
pandas_gbq: 0.6.1
pandas_datareader: None
</details>
| {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25321/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25321/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25322 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25322/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25322/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25322/events | https://github.com/pandas-dev/pandas/issues/25322 | 410,385,221 | MDU6SXNzdWU0MTAzODUyMjE= | 25,322 | pandas 0.24.1 testsuite failure with new numpy ( | {
"avatar_url": "https://avatars.githubusercontent.com/u/1227338?v=4",
"events_url": "https://api.github.com/users/LocutusOfBorg/events{/privacy}",
"followers_url": "https://api.github.com/users/LocutusOfBorg/followers",
"following_url": "https://api.github.com/users/LocutusOfBorg/following{/other_user}",
"gists_url": "https://api.github.com/users/LocutusOfBorg/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/LocutusOfBorg",
"id": 1227338,
"login": "LocutusOfBorg",
"node_id": "MDQ6VXNlcjEyMjczMzg=",
"organizations_url": "https://api.github.com/users/LocutusOfBorg/orgs",
"received_events_url": "https://api.github.com/users/LocutusOfBorg/received_events",
"repos_url": "https://api.github.com/users/LocutusOfBorg/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/LocutusOfBorg/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/LocutusOfBorg/subscriptions",
"type": "User",
"url": "https://api.github.com/users/LocutusOfBorg"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
},
{
"color": "5319e7",
"d... | closed | false | null | [] | null | 8 | 2019-02-14T16:30:49Z | 2021-06-26T05:43:08Z | 2021-06-26T05:43:08Z | NONE | null | ```
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_finder_daily FAILED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_finder_quarterly FAILED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_finder_monthly FAILED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_finder_monthly_long PASSED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_finder_annual FAILED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_finder_minutely PASSED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_finder_hourly PASSED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_gaps FAILED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_gap_upsample FAILED
[...]
=================================== FAILURES ===================================
_________________________ TestTSPlot.test_finder_daily _________________________
self = <pandas.tests.plotting.test_datetimelike.TestTSPlot object at 0xc9b0e30c>
@pytest.mark.slow
def test_finder_daily(self):
day_lst = [10, 40, 252, 400, 950, 2750, 10000]
if (self.mpl_ge_3_0_0 or not self.mpl_ge_2_0_1
or (self.mpl_ge_2_1_0 and not self.mpl_ge_2_2_2)):
# 2.0.0, 2.2.0 (exactly) or >= 3.0.0
xpl1 = xpl2 = [Period('1999-1-1', freq='B').ordinal] * len(day_lst)
else: # 2.0.1, 2.1.0, 2.2.2, 2.2.3
xpl1 = [7565, 7564, 7553, 7546, 7518, 7428, 7066]
xpl2 = [7566, 7564, 7554, 7546, 7519, 7429, 7066]
rs1 = []
rs2 = []
for i, n in enumerate(day_lst):
rng = bdate_range('1999-1-1', periods=n)
ser = Series(np.random.randn(len(rng)), rng)
_, ax = self.plt.subplots()
ser.plot(ax=ax)
xaxis = ax.get_xaxis()
rs1.append(xaxis.get_majorticklocs()[0])
vmin, vmax = ax.get_xlim()
ax.set_xlim(vmin + 0.9, vmax)
rs2.append(xaxis.get_majorticklocs()[0])
self.plt.close(ax.get_figure())
> assert rs1 == xpl1
E assert [7566, 7566, ...66, 7566, ...] == [7565, 7564, 7...18, 7428, ...]
E At index 0 diff: 7566 != 7565
E Full diff:
E - [7566, 7566, 7566, 7566, 7566, 7566, 7566]
E + [7565, 7564, 7553, 7546, 7518, 7428, 7066]
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py:425: AssertionError
_______________________ TestTSPlot.test_finder_quarterly _______________________
self = <pandas.tests.plotting.test_datetimelike.TestTSPlot object at 0xa48b6fcc>
@pytest.mark.slow
def test_finder_quarterly(self):
yrs = [3.5, 11]
if (self.mpl_ge_3_0_0 or not self.mpl_ge_2_0_1
or (self.mpl_ge_2_1_0 and not self.mpl_ge_2_2_2)):
# 2.0.0, 2.2.0 (exactly) or >= 3.0.0
xpl1 = xpl2 = [Period('1988Q1').ordinal] * len(yrs)
else: # 2.0.1, 2.1.0, 2.2.2, 2.2.3
xpl1 = [68, 68]
xpl2 = [72, 68]
rs1 = []
rs2 = []
for i, n in enumerate(yrs):
rng = period_range('1987Q2', periods=int(n * 4), freq='Q')
ser = Series(np.random.randn(len(rng)), rng)
_, ax = self.plt.subplots()
ser.plot(ax=ax)
xaxis = ax.get_xaxis()
rs1.append(xaxis.get_majorticklocs()[0])
(vmin, vmax) = ax.get_xlim()
ax.set_xlim(vmin + 0.9, vmax)
rs2.append(xaxis.get_majorticklocs()[0])
self.plt.close(ax.get_figure())
> assert rs1 == xpl1
E assert [72, 72] == [68, 68]
E At index 0 diff: 72 != 68
E Full diff:
E - [72, 72]
E + [68, 68]
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py:455: AssertionError
________________________ TestTSPlot.test_finder_monthly ________________________
self = <pandas.tests.plotting.test_datetimelike.TestTSPlot object at 0xc45a44cc>
@pytest.mark.slow
def test_finder_monthly(self):
yrs = [1.15, 2.5, 4, 11]
if (self.mpl_ge_3_0_0 or not self.mpl_ge_2_0_1
or (self.mpl_ge_2_1_0 and not self.mpl_ge_2_2_2)):
# 2.0.0, 2.2.0 (exactly) or >= 3.0.0
xpl1 = xpl2 = [Period('Jan 1988').ordinal] * len(yrs)
else: # 2.0.1, 2.1.0, 2.2.2, 2.2.3
xpl1 = [216, 216, 204, 204]
xpl2 = [216, 216, 216, 204]
rs1 = []
rs2 = []
for i, n in enumerate(yrs):
rng = period_range('1987Q2', periods=int(n * 12), freq='M')
ser = Series(np.random.randn(len(rng)), rng)
_, ax = self.plt.subplots()
ser.plot(ax=ax)
xaxis = ax.get_xaxis()
rs1.append(xaxis.get_majorticklocs()[0])
vmin, vmax = ax.get_xlim()
ax.set_xlim(vmin + 0.9, vmax)
rs2.append(xaxis.get_majorticklocs()[0])
self.plt.close(ax.get_figure())
> assert rs1 == xpl1
E assert [216, 216, 216, 216] == [216, 216, 204, 204]
E At index 2 diff: 216 != 204
E Full diff:
E - [216, 216, 216, 216]
E ? ^^ ^^
E + [216, 216, 204, 204]
E ? ^^ ^^
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py:485: AssertionError
________________________ TestTSPlot.test_finder_annual _________________________
self = <pandas.tests.plotting.test_datetimelike.TestTSPlot object at 0xc7d841cc>
@pytest.mark.slow
def test_finder_annual(self):
if (self.mpl_ge_3_0_0 or not self.mpl_ge_2_0_1
or (self.mpl_ge_2_1_0 and not self.mpl_ge_2_2_2)):
# 2.0.0, 2.2.0 (exactly) or >= 3.0.0
xp = [1987, 1988, 1990, 1990, 1995, 2020, 2070, 2170]
else: # 2.0.1, 2.1.0, 2.2.2, 2.2.3
xp = [1986, 1986, 1990, 1990, 1995, 2020, 1970, 1970]
xp = [Period(x, freq='A').ordinal for x in xp]
rs = []
for i, nyears in enumerate([5, 10, 19, 49, 99, 199, 599, 1001]):
rng = period_range('1987', periods=nyears, freq='A')
ser = Series(np.random.randn(len(rng)), rng)
_, ax = self.plt.subplots()
ser.plot(ax=ax)
xaxis = ax.get_xaxis()
rs.append(xaxis.get_majorticklocs()[0])
self.plt.close(ax.get_figure())
> assert rs == xp
E assert [17, 18, 20, 20, 25, 50, ...] == [16L, 16L, 20L... 25L, 50L, ...]
E At index 0 diff: 17 != 16L
E Full diff:
E - [17, 18, 20, 20, 25, 50, 100, 200]
E + [16L, 16L, 20L, 20L, 25L, 50L, 0L, 0L]
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py:518: AssertionError
_____________________________ TestTSPlot.test_gaps _____________________________
self = <pandas.tests.plotting.test_datetimelike.TestTSPlot object at 0xbf3dfb8c>
@pytest.mark.slow
def test_gaps(self):
ts = tm.makeTimeSeries()
ts[5:25] = np.nan
_, ax = self.plt.subplots()
ts.plot(ax=ax)
lines = ax.get_lines()
assert len(lines) == 1
line = lines[0]
data = line.get_xydata()
if (self.mpl_ge_3_0_0 or not self.mpl_ge_2_0_1
or (self.mpl_ge_2_1_0 and not self.mpl_ge_2_2_2)):
# 2.0.0, 2.2.0 (exactly) or >= 3.0.0
data = np.ma.MaskedArray(data, mask=isna(data), fill_value=np.nan)
> assert isinstance(data, np.ma.core.MaskedArray)
E AssertionError: assert False
E + where False = isinstance(array([[ 7.82700000e+03, -1.02081446e+00],\n [ 7.82800000e+03, 8.0754728...[ 7.85500000e+03, 3.90151635e-01],\n [ 7.85600000e+03, -8.36108671e-01]]), <class 'numpy.ma.core.MaskedArray'>)
E + where <class 'numpy.ma.core.MaskedArray'> = <module 'numpy.ma.core' from '/usr/lib/python2.7/dist-packages/numpy/ma/core.pyc'>.MaskedArray
E + where <module 'numpy.ma.core' from '/usr/lib/python2.7/dist-packages/numpy/ma/core.pyc'> = <module 'numpy.ma' from '/usr/lib/python2.7/dist-packages/numpy/ma/__init__.pyc'>.core
E + where <module 'numpy.ma' from '/usr/lib/python2.7/dist-packages/numpy/ma/__init__.pyc'> = np.ma
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py:564: AssertionError
_________________________ TestTSPlot.test_gap_upsample _________________________
self = <pandas.tests.plotting.test_datetimelike.TestTSPlot object at 0xc9f115ac>
@pytest.mark.slow
def test_gap_upsample(self):
low = tm.makeTimeSeries()
low[5:25] = np.nan
_, ax = self.plt.subplots()
low.plot(ax=ax)
idxh = date_range(low.index[0], low.index[-1], freq='12h')
s = Series(np.random.randn(len(idxh)), idxh)
s.plot(secondary_y=True)
lines = ax.get_lines()
assert len(lines) == 1
assert len(ax.right_ax.get_lines()) == 1
line = lines[0]
data = line.get_xydata()
if (self.mpl_ge_3_0_0 or not self.mpl_ge_2_0_1
or (self.mpl_ge_2_1_0 and not self.mpl_ge_2_2_2)):
# 2.0.0, 2.2.0 (exactly) or >= 3.0.0
data = np.ma.MaskedArray(data, mask=isna(data), fill_value=np.nan)
> assert isinstance(data, np.ma.core.MaskedArray)
E AssertionError: assert False
E + where False = isinstance(array([[ 2.63016000e+05, -8.71992271e-01],\n [ 2.63040000e+05, 2.4476855...[ 2.63928000e+05, -1.46319072e-01],\n [ 2.63952000e+05, 1.57315404e+00]]), <class 'numpy.ma.core.MaskedArray'>)
E + where <class 'numpy.ma.core.MaskedArray'> = <module 'numpy.ma.core' from '/usr/lib/python2.7/dist-packages/numpy/ma/core.pyc'>.MaskedArray
E + where <module 'numpy.ma.core' from '/usr/lib/python2.7/dist-packages/numpy/ma/core.pyc'> = <module 'numpy.ma' from '/usr/lib/python2.7/dist-packages/numpy/ma/__init__.pyc'>.core
E + where <module 'numpy.ma' from '/usr/lib/python2.7/dist-packages/numpy/ma/__init__.pyc'> = np.ma
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py:630: AssertionError
=============================== warnings summary ===============================
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/extension/test_integer.py::TestMethods::()::test_combine_le[Int8Dtype]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/extension/base/methods.py:153: RuntimeWarning: invalid value encountered in greater_equal
expected = pd.Series([a <= val for a in list(orig_data1)])
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/frame/test_constructors.py::TestDataFrameConstructors::()::test_constructor_dict_nan_tuple_key[nan0]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/core/common.py:207: RuntimeWarning: invalid value encountered in less
return sorted(listed)
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/groupby/test_filters.py::test_filter_and_transform_with_non_unique_float_index
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/core/indexes/base.py:2656: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
return self._engine.get_loc(key)
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_frame.py::TestDataFramePlots::()::test_logscales
/usr/lib/python2.7/dist-packages/matplotlib/axes/_base.py:3157: UserWarning: Attempted to set non-positive xlimits for log-scale axis; invalid limits will be ignored.
'Attempted to set non-positive xlimits for log-scale axis; '
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_frame.py::TestDataFramePlots::()::test_errorbar_plot
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/plotting/_core.py:1798: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
plot_obj.generate()
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/plotting/_core.py:1798: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
plot_obj.generate()
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/plotting/_core.py:1798: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
plot_obj.generate()
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_frame.py::TestDataFramePlots::()::test_errorbar_timeseries
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/plotting/_core.py:1798: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
plot_obj.generate()
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/plotting/_core.py:1798: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
plot_obj.generate()
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/plotting/_core.py:1798: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
plot_obj.generate()
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_hist_method.py::TestSeriesPlots::()::test_hist_legacy
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_hist_method.py::TestDataFramePlots::()::test_tight_layout
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_hist_method.py:253: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
_check_plot_works(df.hist)
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_misc.py::TestSeriesPlots::()::test_autocorrelation_plot
/usr/lib/python2.7/dist-packages/matplotlib/pyplot.py:969: UserWarning: Requested projection is different from current axis projection, creating new axis with requested projection.
return gcf().gca(**kwargs)
/usr/lib/python2.7/dist-packages/matplotlib/pyplot.py:969: UserWarning: Requested projection is different from current axis projection, creating new axis with requested projection.
return gcf().gca(**kwargs)
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_series.py::TestSeriesPlots::()::test_hist_legacy
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
/usr/lib/python2.7/dist-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/scalar/timedelta/test_arithmetic.py::TestTimedeltaMultiplicationDivision::()::test_td_div_nan[nan1]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/scalar/timedelta/test_arithmetic.py:334: RuntimeWarning: invalid value encountered in double_scalars
result = td // nan
debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/tseries/offsets/test_offsets_properties.py::test_apply_index_implementations
/usr/lib/python2.7/dist-packages/dateutil/zoneinfo/__init__.py:26: UserWarning: I/O error(2): No such file or directory
warnings.warn("I/O error({0}): {1}".format(e.errno, e.strerror))
-- Docs: https://docs.pytest.org/en/latest/warnings.html
6 failed, 43011 passed, 3393 skipped, 777 deselected, 767 xfailed, 21 xpassed, 27 warnings in 5632.65 seconds
```
Do you have any clue for the errors above?
this is the full log
https://launchpadlibrarian.net/411242961/buildlog_ubuntu-disco-i386.pandas_0.24.1-0ubuntu1_BUILDING.txt.gz | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25322/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25322/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25323 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25323/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25323/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25323/events | https://github.com/pandas-dev/pandas/pull/25323 | 410,394,772 | MDExOlB1bGxSZXF1ZXN0MjUzMTQ2NjE1 | 25,323 | Skipped broken Py2 / Windows test | {
"avatar_url": "https://avatars.githubusercontent.com/u/609873?v=4",
"events_url": "https://api.github.com/users/WillAyd/events{/privacy}",
"followers_url": "https://api.github.com/users/WillAyd/followers",
"following_url": "https://api.github.com/users/WillAyd/following{/other_user}",
"gists_url": "https://api.github.com/users/WillAyd/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/WillAyd",
"id": 609873,
"login": "WillAyd",
"node_id": "MDQ6VXNlcjYwOTg3Mw==",
"organizations_url": "https://api.github.com/users/WillAyd/orgs",
"received_events_url": "https://api.github.com/users/WillAyd/received_events",
"repos_url": "https://api.github.com/users/WillAyd/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/WillAyd/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/WillAyd/subscriptions",
"type": "User",
"url": "https://api.github.com/users/WillAyd"
} | [
{
"color": "75507B",
"default": false,
"description": "Library building on various platforms",
"id": 129350,
"name": "Build",
"node_id": "MDU6TGFiZWwxMjkzNTA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Build"
},
{
"color": "fbca04",
"default": false,
... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 3 | 2019-02-14T16:51:27Z | 2019-02-14T17:29:33Z | 2019-02-14T17:27:28Z | MEMBER | null | quick workaround for #25293
@jreback | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25323/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25323/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25323.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25323",
"merged_at": "2019-02-14T17:27:28Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25323.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25323"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25324 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25324/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25324/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25324/events | https://github.com/pandas-dev/pandas/issues/25324 | 410,409,191 | MDU6SXNzdWU0MTA0MDkxOTE= | 25,324 | Fix validation error type `GL01` and check in CI | {
"avatar_url": "https://avatars.githubusercontent.com/u/15032115?v=4",
"events_url": "https://api.github.com/users/MarckK/events{/privacy}",
"followers_url": "https://api.github.com/users/MarckK/followers",
"following_url": "https://api.github.com/users/MarckK/following{/other_user}",
"gists_url": "https://api.github.com/users/MarckK/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/MarckK",
"id": 15032115,
"login": "MarckK",
"node_id": "MDQ6VXNlcjE1MDMyMTE1",
"organizations_url": "https://api.github.com/users/MarckK/orgs",
"received_events_url": "https://api.github.com/users/MarckK/received_events",
"repos_url": "https://api.github.com/users/MarckK/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/MarckK/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/MarckK/subscriptions",
"type": "User",
"url": "https://api.github.com/users/MarckK"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
},
{
"color": "a2bca7",
"default": false,
"description": "Continuous Integratio... | open | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 4 | 2019-02-14T17:25:34Z | 2019-12-11T17:32:44Z | null | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `GL01` (Docstring text, i.e. summary, should start in the line immediately after the opening quotes, not in the same line, or leaving a blank line in between), fixing them in the code base enables the addition to the CI for automated testing in the future.
`GL01` has 189 occurrences (see [overview of the errors](https://gist.github.com/198cfa552c727d71bd7360fda66fdbb4)), including:
method | file | file_line | github_link
-- | -- | -- | --
pandas.Timestamp | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.max | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.min | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.ctime | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.date | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.dst | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.isocalendar | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.isoweekday | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.strftime | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.strptime | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.time | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.timestamp | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.timetuple | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.timetz | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.to_datetime64 | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.toordinal | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.tzname | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.utcoffset | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.utctimetuple | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timestamp.weekday | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timedelta.components | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timedelta.days | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timedelta.microseconds | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timedelta.seconds | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timedelta.view | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Timedelta.to_timedelta64 | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Interval.left | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Interval.length | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Interval.right | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Categorical.codes | pandas/core/arrays/categorical.py | 676.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/arrays/categorical.py#L676
... | ... | ... | ...
pandas.plotting.lag_plot | pandas/plotting/_misc.py | 570.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/_misc.py#L570
pandas.plotting.parallel_coordinates | pandas/util/_decorators.py | 454.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/util/_decorators.py#L454
pandas.core.resample.Resampler.pipe | pandas/core/resample.py | 189.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L189
pandas.core.resample.Resampler.first | pandas/core/resample.py | 857.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L857
pandas.core.resample.Resampler.last | pandas/core/resample.py | 857.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L857
pandas.core.resample.Resampler.max | pandas/core/resample.py | 857.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L857
pandas.core.resample.Resampler.min | pandas/core/resample.py | 857.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L857
pandas.core.resample.Resampler.prod | pandas/core/resample.py | 846.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L846
pandas.core.resample.Resampler.sum | pandas/core/resample.py | 846.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/resample.py#L846
pandas.Series.index | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Series.T | pandas/core/base.py | 672.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/base.py#L672
pandas.Series.dt.dayofweek | pandas/core/accessor.py | 80.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L80
pandas.Series.dt.weekday | pandas/core/accessor.py | 80.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L80
pandas.Series.dt.is_month_start | pandas/core/accessor.py | 80.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L80
pandas.Series.dt.is_month_end | pandas/core/accessor.py | 80.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L80
pandas.Series.dt.is_quarter_start | pandas/core/accessor.py | 80.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L80
pandas.Series.dt.is_quarter_end | pandas/core/accessor.py | 80.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L80
pandas.Series.dt.is_year_start | pandas/core/accessor.py | 80.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L80
pandas.Series.dt.is_year_end | pandas/core/accessor.py | 80.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L80
pandas.Series.dt.is_leap_year | pandas/core/accessor.py | 80.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/accessor.py#L80
pandas.io.formats.style.Styler.env | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.io.formats.style.Styler.template | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.io.formats.style.Styler.loader | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Series.ix | pandas/core/indexing.py | 1385.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexing.py#L1385
pandas.DataFrame.ix | pandas/core/indexing.py | 1385.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexing.py#L1385
pandas.Panel.items | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Panel.ix | pandas/core/indexing.py | 1385.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexing.py#L1385
pandas.Panel.keys | pandas/core/generic.py | 1824.0 | https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py#L1824
pandas.Panel.major_axis | None | NaN | https://github.com/pandas-dev/pandas/blob/master/None#LNone
pandas.Panel.minor_axis
Todo:
* [ ] get rid of the errors in the code base
* [ ] update the `code_check.sh` script to take into account the `GL01` type of errors | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25324/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25324/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25325/events | https://github.com/pandas-dev/pandas/pull/25325 | 410,410,257 | MDExOlB1bGxSZXF1ZXN0MjUzMTU4ODc0 | 25,325 | Backport PR #25323 on branch 0.24.x (Skipped broken Py2 / Windows test) | {
"avatar_url": "https://avatars.githubusercontent.com/u/39504233?v=4",
"events_url": "https://api.github.com/users/meeseeksmachine/events{/privacy}",
"followers_url": "https://api.github.com/users/meeseeksmachine/followers",
"following_url": "https://api.github.com/users/meeseeksmachine/following{/other_user}",
"gists_url": "https://api.github.com/users/meeseeksmachine/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/meeseeksmachine",
"id": 39504233,
"login": "meeseeksmachine",
"node_id": "MDQ6VXNlcjM5NTA0MjMz",
"organizations_url": "https://api.github.com/users/meeseeksmachine/orgs",
"received_events_url": "https://api.github.com/users/meeseeksmachine/received_events",
"repos_url": "https://api.github.com/users/meeseeksmachine/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/meeseeksmachine/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/meeseeksmachine/subscriptions",
"type": "User",
"url": "https://api.github.com/users/meeseeksmachine"
} | [
{
"color": "75507B",
"default": false,
"description": "Library building on various platforms",
"id": 129350,
"name": "Build",
"node_id": "MDU6TGFiZWwxMjkzNTA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Build"
},
{
"color": "fbca04",
"default": false,
... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 4 | 2019-02-14T17:28:21Z | 2019-02-15T09:20:58Z | 2019-02-15T09:20:58Z | NONE | null | Backport PR #25323: Skipped broken Py2 / Windows test | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25325/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25325/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25325.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25325",
"merged_at": "2019-02-15T09:20:58Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25325.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25325"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25326/events | https://github.com/pandas-dev/pandas/issues/25326 | 410,462,535 | MDU6SXNzdWU0MTA0NjI1MzU= | 25,326 | Inconsistent dtype metadata leads to wrong Parquet column type | {
"avatar_url": "https://avatars.githubusercontent.com/u/620513?v=4",
"events_url": "https://api.github.com/users/dargueta/events{/privacy}",
"followers_url": "https://api.github.com/users/dargueta/followers",
"following_url": "https://api.github.com/users/dargueta/following{/other_user}",
"gists_url": "https://api.github.com/users/dargueta/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/dargueta",
"id": 620513,
"login": "dargueta",
"node_id": "MDQ6VXNlcjYyMDUxMw==",
"organizations_url": "https://api.github.com/users/dargueta/orgs",
"received_events_url": "https://api.github.com/users/dargueta/received_events",
"repos_url": "https://api.github.com/users/dargueta/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/dargueta/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dargueta/subscriptions",
"type": "User",
"url": "https://api.github.com/users/dargueta"
} | [
{
"color": "e102d8",
"default": false,
"description": "Unexpected or buggy dtype conversions",
"id": 31404521,
"name": "Dtype Conversions",
"node_id": "MDU6TGFiZWwzMTQwNDUyMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Dtype%20Conversions"
},
{
"color": "531... | closed | false | null | [] | null | 3 | 2019-02-14T19:46:56Z | 2019-03-27T00:03:51Z | 2019-03-27T00:03:51Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Run the following code with Pandas 0.24.x and PyArrow 0.12.0:
```python
import pandas as pd
import numpy as np
df_1 = pd.DataFrame({'col': [None, None, None]})
df_1.col = df_1.col.astype(np.unicode_)
df_1.to_parquet('right.parq', engine='pyarrow')
series = pd.Series([None, None, None], dtype=np.unicode_)
df_2 = pd.DataFrame({'col': series})
df_2.to_parquet('wrong.parq', engine='pyarrow')
```
#### Problem description
Examine the Parquet column type for each file (I use [`parquet-tools`](https://github.com/wesleypeck/parquet-tools)). `right.parq` has the expected UTF-8 string type. `wrong.parq` has an `INT32`.
While this seems like a problem in PyArrow (specifically [here](https://github.com/apache/arrow/blob/master/python/pyarrow/pandas_compat.py#L44-L70) and [here](https://github.com/apache/arrow/blob/master/python/pyarrow/pandas_compat.py#L711)), the root cause seems to be Pandas' metadata is inconsistent between the two dataframes. The following metadata is stored in the Parquet files:
right.parq
```json
{
"column_indexes": [],
"columns": [
{
"field_name": "col",
"metadata": null,
"name": "col",
"numpy_type": "object",
"pandas_type": "unicode"
}
],
"index_columns": [],
"pandas_version": "0.24.1"
}
```
wrong.parq
```json
{
"column_indexes": [],
"columns": [
{
"field_name": "col",
"metadata": null,
"name": "col",
"numpy_type": "object",
"pandas_type": "empty"
}
],
"index_columns": [],
"pandas_version": "0.24.1"
}
```
The difference between the two is that the `pandas_type` for the incorrect file is "empty" rather than the expected "unicode". PyArrow misinterprets this and defaults to a 32-bit integer column.
The incorrect datatype will cause Redshift to reject the file when we try to read it because the column type in the file doesn't match the column type in the database table.
#### Expected Output
A DataFrame column constructed with a Series should have dtype metadata identical to a column returned by `astype()`.
#### Output of ``pd.show_versions()``
<details>
<pre>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.8.final.0
python-bits: 64
OS: Darwin
OS-release: 17.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.24.1
pytest: None
pip: 18.1
setuptools: 40.6.2
Cython: None
numpy: 1.16.1
scipy: None
pyarrow: 0.12.0
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: 4.3.1
bs4: None
html5lib: 1.0.1
sqlalchemy: 1.2.17
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: 0.2.0
fastparquet: 0.2.1
pandas_gbq: 0.9.0
pandas_datareader: None
gcsfs: None
</pre>
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25326/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25326/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25327/events | https://github.com/pandas-dev/pandas/pull/25327 | 410,474,280 | MDExOlB1bGxSZXF1ZXN0MjUzMjA4NTg1 | 25,327 | #14873: test for groupby.agg coercing booleans | {
"avatar_url": "https://avatars.githubusercontent.com/u/2520893?v=4",
"events_url": "https://api.github.com/users/TrigonaMinima/events{/privacy}",
"followers_url": "https://api.github.com/users/TrigonaMinima/followers",
"following_url": "https://api.github.com/users/TrigonaMinima/following{/other_user}",
"gists_url": "https://api.github.com/users/TrigonaMinima/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TrigonaMinima",
"id": 2520893,
"login": "TrigonaMinima",
"node_id": "MDQ6VXNlcjI1MjA4OTM=",
"organizations_url": "https://api.github.com/users/TrigonaMinima/orgs",
"received_events_url": "https://api.github.com/users/TrigonaMinima/received_events",
"repos_url": "https://api.github.com/users/TrigonaMinima/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TrigonaMinima/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TrigonaMinima/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TrigonaMinima"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
},
{
"color": "e102d8",
"d... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 4 | 2019-02-14T20:17:59Z | 2019-02-19T14:35:41Z | 2019-02-19T14:11:42Z | CONTRIBUTOR | null | - [x] closes #14873
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The referenced issue seems to be solved in the current master. So added a test for the edge case. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25327/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25327/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25327.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25327",
"merged_at": "2019-02-19T14:11:42Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25327.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25327"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25328/events | https://github.com/pandas-dev/pandas/pull/25328 | 410,557,871 | MDExOlB1bGxSZXF1ZXN0MjUzMjc0MzY2 | 25,328 | DOC: Improvement docstring of DataFrame.rank() | {
"avatar_url": "https://avatars.githubusercontent.com/u/29585319?v=4",
"events_url": "https://api.github.com/users/EdAbati/events{/privacy}",
"followers_url": "https://api.github.com/users/EdAbati/followers",
"following_url": "https://api.github.com/users/EdAbati/following{/other_user}",
"gists_url": "https://api.github.com/users/EdAbati/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/EdAbati",
"id": 29585319,
"login": "EdAbati",
"node_id": "MDQ6VXNlcjI5NTg1MzE5",
"organizations_url": "https://api.github.com/users/EdAbati/orgs",
"received_events_url": "https://api.github.com/users/EdAbati/received_events",
"repos_url": "https://api.github.com/users/EdAbati/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/EdAbati/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/EdAbati/subscriptions",
"type": "User",
"url": "https://api.github.com/users/EdAbati"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
}
] | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 11 | 2019-02-15T00:51:58Z | 2019-05-06T18:57:01Z | 2019-05-06T18:56:50Z | CONTRIBUTOR | null | - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
I have made the changes requested in the pull request #23263
This is the output of the docstring validation:
```
3 Errors found:
Parameter "method" description should finish with "."
Parameter "na_option" description should finish with "."
The first line of the Returns section should contain only the type, unless multiple values are being returned
```
In the previous pull request I have been told that I could ignore these 3 errors.
Please let me know if I can further improve the docstring.
Thanks a lot | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25328/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25328/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25328.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25328",
"merged_at": "2019-05-06T18:56:50Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25328.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25328"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25329/events | https://github.com/pandas-dev/pandas/pull/25329 | 410,582,355 | MDExOlB1bGxSZXF1ZXN0MjUzMjkyNTk0 | 25,329 | REGR: fix TimedeltaIndex sum and datetime subtraction with NaT (#25282, #25317) | {
"avatar_url": "https://avatars.githubusercontent.com/u/8078968?v=4",
"events_url": "https://api.github.com/users/jbrockmendel/events{/privacy}",
"followers_url": "https://api.github.com/users/jbrockmendel/followers",
"following_url": "https://api.github.com/users/jbrockmendel/following{/other_user}",
"gists_url": "https://api.github.com/users/jbrockmendel/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jbrockmendel",
"id": 8078968,
"login": "jbrockmendel",
"node_id": "MDQ6VXNlcjgwNzg5Njg=",
"organizations_url": "https://api.github.com/users/jbrockmendel/orgs",
"received_events_url": "https://api.github.com/users/jbrockmendel/received_events",
"repos_url": "https://api.github.com/users/jbrockmendel/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jbrockmendel/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jbrockmendel/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jbrockmendel"
} | [
{
"color": "AFEEEE",
"default": false,
"description": null,
"id": 211840,
"name": "Timeseries",
"node_id": "MDU6TGFiZWwyMTE4NDA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Timeseries"
},
{
"color": "e11d21",
"default": false,
"description": "Functiona... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 19 | 2019-02-15T02:53:40Z | 2019-02-20T14:39:53Z | 2019-02-20T10:52:02Z | MEMBER | null | closes #25282
closes #25317
- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25329/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25329/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25329.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25329",
"merged_at": "2019-02-20T10:52:02Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25329.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25329"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25330/events | https://github.com/pandas-dev/pandas/pull/25330 | 410,603,759 | MDExOlB1bGxSZXF1ZXN0MjUzMzA3Mjc0 | 25,330 | MultiIndex Support for DataFrame.pivot | {
"avatar_url": "https://avatars.githubusercontent.com/u/6972290?v=4",
"events_url": "https://api.github.com/users/thoo/events{/privacy}",
"followers_url": "https://api.github.com/users/thoo/followers",
"following_url": "https://api.github.com/users/thoo/following{/other_user}",
"gists_url": "https://api.github.com/users/thoo/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/thoo",
"id": 6972290,
"login": "thoo",
"node_id": "MDQ6VXNlcjY5NzIyOTA=",
"organizations_url": "https://api.github.com/users/thoo/orgs",
"received_events_url": "https://api.github.com/users/thoo/received_events",
"repos_url": "https://api.github.com/users/thoo/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/thoo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/thoo/subscriptions",
"type": "User",
"url": "https://api.github.com/users/thoo"
} | [
{
"color": "4E9A06",
"default": false,
"description": null,
"id": 76812,
"name": "Enhancement",
"node_id": "MDU6TGFiZWw3NjgxMg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Enhancement"
},
{
"color": "02d7e1",
"default": false,
"description": "Concat, ... | closed | false | null | [] | null | 10 | 2019-02-15T04:47:24Z | 2019-07-11T16:10:00Z | 2019-07-11T16:10:00Z | CONTRIBUTOR | null | - [ ] closes #21425. Related to #21425
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25330/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25330/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25330.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25330",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25330.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25330"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25331/events | https://github.com/pandas-dev/pandas/pull/25331 | 410,604,825 | MDExOlB1bGxSZXF1ZXN0MjUzMzA3OTk2 | 25,331 | BUG: Series.__setitem__ with datetimetz data | {
"avatar_url": "https://avatars.githubusercontent.com/u/10647082?v=4",
"events_url": "https://api.github.com/users/mroeschke/events{/privacy}",
"followers_url": "https://api.github.com/users/mroeschke/followers",
"following_url": "https://api.github.com/users/mroeschke/following{/other_user}",
"gists_url": "https://api.github.com/users/mroeschke/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mroeschke",
"id": 10647082,
"login": "mroeschke",
"node_id": "MDQ6VXNlcjEwNjQ3MDgy",
"organizations_url": "https://api.github.com/users/mroeschke/orgs",
"received_events_url": "https://api.github.com/users/mroeschke/received_events",
"repos_url": "https://api.github.com/users/mroeschke/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mroeschke/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mroeschke/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mroeschke"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "0b02e1",
"default": false,
"description": "Related to indexing on s... | closed | false | null | [] | null | 1 | 2019-02-15T04:53:39Z | 2019-02-19T06:29:39Z | 2019-02-19T06:29:31Z | MEMBER | null | - [x] closes #12862
- [x] closes #20441
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25331/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25331/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25331.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25331",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25331.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25331"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25332/events | https://github.com/pandas-dev/pandas/issues/25332 | 410,709,525 | MDU6SXNzdWU0MTA3MDk1MjU= | 25,332 | MagicMock a pandas DataFrame causes a segfault | {
"avatar_url": "https://avatars.githubusercontent.com/u/38790582?v=4",
"events_url": "https://api.github.com/users/roachlord/events{/privacy}",
"followers_url": "https://api.github.com/users/roachlord/followers",
"following_url": "https://api.github.com/users/roachlord/following{/other_user}",
"gists_url": "https://api.github.com/users/roachlord/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/roachlord",
"id": 38790582,
"login": "roachlord",
"node_id": "MDQ6VXNlcjM4NzkwNTgy",
"organizations_url": "https://api.github.com/users/roachlord/orgs",
"received_events_url": "https://api.github.com/users/roachlord/received_events",
"repos_url": "https://api.github.com/users/roachlord/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/roachlord/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/roachlord/subscriptions",
"type": "User",
"url": "https://api.github.com/users/roachlord"
} | [
{
"color": "e11d21",
"default": false,
"description": "Functionality that used to work in a prior pandas version",
"id": 32815646,
"name": "Regression",
"node_id": "MDU6TGFiZWwzMjgxNTY0Ng==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Regression"
},
{
"color": ... | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 5 | 2019-02-15T10:46:49Z | 2019-12-17T02:19:59Z | 2019-12-17T02:19:59Z | NONE | null | #### Code Sample
```python
import pandas as pd
from mock import MagicMock
df = pd.DataFrame(0, [[1, 2], [3, 4]], ['col'])
df['col'] += MagicMock()
```
#### Problem description
I have a function that returns a column of dataframe. I want to mock out this function and test it is called with the correct args. The above code segs outs in 0.24.1 but not in 0.23.4.
#### Expected Output
Not to seg fault
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.12.final.0
python-bits: 64
OS: Linux
OS-release: 4.4.0-142-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US
LOCALE: None.None
pandas: 0.24.1
pytest: None
pip: 19.0.2
setuptools: 40.8.0
Cython: None
numpy: 1.16.1
scipy: 1.2.1
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: None
bs4: None
html5lib: None
sqlalchemy: 1.2.17
pymysql: None
psycopg2: 2.7.7 (dt dec pq3 ext lo64)
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25332/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25332/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25333/events | https://github.com/pandas-dev/pandas/pull/25333 | 410,805,640 | MDExOlB1bGxSZXF1ZXN0MjUzNDU2MDY3 | 25,333 | Doc: corrects spelling in generic.py | {
"avatar_url": "https://avatars.githubusercontent.com/u/1891336?v=4",
"events_url": "https://api.github.com/users/jevandezande/events{/privacy}",
"followers_url": "https://api.github.com/users/jevandezande/followers",
"following_url": "https://api.github.com/users/jevandezande/following{/other_user}",
"gists_url": "https://api.github.com/users/jevandezande/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jevandezande",
"id": 1891336,
"login": "jevandezande",
"node_id": "MDQ6VXNlcjE4OTEzMzY=",
"organizations_url": "https://api.github.com/users/jevandezande/orgs",
"received_events_url": "https://api.github.com/users/jevandezande/received_events",
"repos_url": "https://api.github.com/users/jevandezande/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jevandezande/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jevandezande/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jevandezande"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
}
] | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 3 | 2019-02-15T14:56:48Z | 2019-02-15T18:43:02Z | 2019-02-15T18:42:46Z | CONTRIBUTOR | null | Corrects spelling of capitve to captive.
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25333/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25333/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25333.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25333",
"merged_at": "2019-02-15T18:42:46Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25333.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25333"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25334 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25334/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25334/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25334/events | https://github.com/pandas-dev/pandas/pull/25334 | 410,830,300 | MDExOlB1bGxSZXF1ZXN0MjUzNDc1MTg1 | 25,334 | TST: Split test_excel.py into sub test files #24472 | {
"avatar_url": "https://avatars.githubusercontent.com/u/46458390?v=4",
"events_url": "https://api.github.com/users/stevenbw/events{/privacy}",
"followers_url": "https://api.github.com/users/stevenbw/followers",
"following_url": "https://api.github.com/users/stevenbw/following{/other_user}",
"gists_url": "https://api.github.com/users/stevenbw/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/stevenbw",
"id": 46458390,
"login": "stevenbw",
"node_id": "MDQ6VXNlcjQ2NDU4Mzkw",
"organizations_url": "https://api.github.com/users/stevenbw/orgs",
"received_events_url": "https://api.github.com/users/stevenbw/received_events",
"repos_url": "https://api.github.com/users/stevenbw/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/stevenbw/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/stevenbw/subscriptions",
"type": "User",
"url": "https://api.github.com/users/stevenbw"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
},
{
"color": "bfe5bf",
"d... | closed | false | null | [] | null | 11 | 2019-02-15T15:52:07Z | 2019-03-25T23:59:44Z | 2019-03-25T23:59:43Z | NONE | null | - [ ] closes #24472 and update to #24749
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
In brief, I have tried to split the quite large `test_excel.py` test file into logical chunks. I have done this by first splitting by reading and writing, and then by engine.
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25334/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25334/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25334.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25334",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25334.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25334"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25335 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25335/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25335/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25335/events | https://github.com/pandas-dev/pandas/issues/25335 | 410,833,572 | MDU6SXNzdWU0MTA4MzM1NzI= | 25,335 | np.sum(TimedeltaIndex) should return a Timedelta, not np.timedelta64 | {
"avatar_url": "https://avatars.githubusercontent.com/u/8078968?v=4",
"events_url": "https://api.github.com/users/jbrockmendel/events{/privacy}",
"followers_url": "https://api.github.com/users/jbrockmendel/followers",
"following_url": "https://api.github.com/users/jbrockmendel/following{/other_user}",
"gists_url": "https://api.github.com/users/jbrockmendel/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jbrockmendel",
"id": 8078968,
"login": "jbrockmendel",
"node_id": "MDQ6VXNlcjgwNzg5Njg=",
"organizations_url": "https://api.github.com/users/jbrockmendel/orgs",
"received_events_url": "https://api.github.com/users/jbrockmendel/received_events",
"repos_url": "https://api.github.com/users/jbrockmendel/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jbrockmendel/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jbrockmendel/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jbrockmendel"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "AFEEEE",
"default": false,
"description": null,
"id": 211840,
... | closed | false | null | [] | {
"closed_at": "2020-01-30T12:18:05Z",
"closed_issues": 2207,
"created_at": "2012-09-13T02:13:00Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/329591?v=4",
"events_url": "https://api.github.com/users/wesm/events{/privacy}",
"followers_url": "https://api.github.com/users/wesm/followers",
"following_url": "https://api.github.com/users/wesm/following{/other_user}",
"gists_url": "https://api.github.com/users/wesm/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/wesm",
"id": 329591,
"login": "wesm",
"node_id": "MDQ6VXNlcjMyOTU5MQ==",
"organizations_url": "https://api.github.com/users/wesm/orgs",
"received_events_url": "https://api.github.com/users/wesm/received_events",
"repos_url": "https://api.github.com/users/wesm/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/wesm/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/wesm/subscriptions",
"type": "User",
"url": "https://api.github.com/users/wesm"
},
"description": "on-merge: backport to 1.0.x",
"due_on": "2020-02-01T08:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/16",
"id": 174211,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/16/labels",
"node_id": "MDk6TWlsZXN0b25lMTc0MjEx",
"number": 16,
"open_issues": 0,
"state": "closed",
"title": "1.0.0",
"updated_at": "2020-01-30T12:18:05Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/16"
} | 4 | 2019-02-15T15:59:16Z | 2019-10-08T12:43:11Z | 2019-10-08T12:43:11Z | MEMBER | null | ditto TimedeltaArray. xref #25329.
I think the relevant method is `__array_ufunc__`, @jorisvandenbossche any idea about this? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25335/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25335/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25336 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25336/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25336/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25336/events | https://github.com/pandas-dev/pandas/issues/25336 | 410,868,797 | MDU6SXNzdWU0MTA4Njg3OTc= | 25,336 | [BUG?] pd.read_json does not convert date before 1971-01-01 | {
"avatar_url": "https://avatars.githubusercontent.com/u/3731173?v=4",
"events_url": "https://api.github.com/users/okomarov/events{/privacy}",
"followers_url": "https://api.github.com/users/okomarov/followers",
"following_url": "https://api.github.com/users/okomarov/following{/other_user}",
"gists_url": "https://api.github.com/users/okomarov/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/okomarov",
"id": 3731173,
"login": "okomarov",
"node_id": "MDQ6VXNlcjM3MzExNzM=",
"organizations_url": "https://api.github.com/users/okomarov/orgs",
"received_events_url": "https://api.github.com/users/okomarov/received_events",
"repos_url": "https://api.github.com/users/okomarov/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/okomarov/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/okomarov/subscriptions",
"type": "User",
"url": "https://api.github.com/users/okomarov"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "AFEEEE",
"default": false,
"description": null,
"id": 211840,
... | open | false | null | [] | null | 7 | 2019-02-15T17:24:03Z | 2020-04-01T04:17:59Z | null | NONE | null | #### Code Sample
```python
from datetime import datetime
import pandas as pd
input_before_31536000 = pd.DataFrame([1],index=[datetime(1971, 1, 1)])
input_after_31536000 = pd.DataFrame([1],index=[datetime(1971, 1, 1, 0, 0, 1)])
# Compare before (including) and after 31536000
pd.read_json(input_before_31536000.to_json(date_unit='s'), date_unit='s')
pd.read_json(input_after_31536000.to_json(date_unit='s'), date_unit='s')
```
#### Problem description
Read json does not convert epoch timestamps before and including 31536000 into dates. We start with the following input:
```
0
1971-01-01 1
```
and after a roundtrip encoding/decoding transforms into:
```
0
31536000 1
```
Any date after `datetime(1971, 1, 1)` get converted correctly.
#### A warkaround
I am using epoch timestamps and `orient='split'` to keep the encoding as terse as possible. ISO dates would solve the issue but would take much more space. To keep epoch timestamp here is a manual workaround:
```python
import json
# Encode series
json_str = input_before_31536000[0].to_json(orient='split', date_unit='s')
data = json.loads(json_str)
# Build DataFrame manually with to_datetime() conversion
pd.DataFrame(data['data'], index=pd.to_datetime(data['index'], unit='s'), columns=[data['name']])
```
#### Output of ``pd.show_versions()``
<details>
```
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.2.final.0
python-bits: 64
OS: Darwin
OS-release: 18.2.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: en_GB.UTF-8
pandas: 0.24.0
pytest: None
pip: 19.0.1
setuptools: 40.7.3
Cython: None
numpy: 1.16.1
scipy: None
pyarrow: None
xarray: None
IPython: 7.2.0
sphinx: None
patsy: None
dateutil: 2.7.5
pytz: 2018.9
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: 4.3.0
bs4: None
html5lib: None
sqlalchemy: 1.2.17
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: 0.2.1
pandas_gbq: None
pandas_datareader: 0.7.0
gcsfs: None
```
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25336/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25336/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25337 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25337/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25337/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25337/events | https://github.com/pandas-dev/pandas/issues/25337 | 410,984,916 | MDU6SXNzdWU0MTA5ODQ5MTY= | 25,337 | Fix validation error type `SA04` and check in CI | {
"avatar_url": "https://avatars.githubusercontent.com/u/15032115?v=4",
"events_url": "https://api.github.com/users/MarckK/events{/privacy}",
"followers_url": "https://api.github.com/users/MarckK/followers",
"following_url": "https://api.github.com/users/MarckK/following{/other_user}",
"gists_url": "https://api.github.com/users/MarckK/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/MarckK",
"id": 15032115,
"login": "MarckK",
"node_id": "MDQ6VXNlcjE1MDMyMTE1",
"organizations_url": "https://api.github.com/users/MarckK/orgs",
"received_events_url": "https://api.github.com/users/MarckK/received_events",
"repos_url": "https://api.github.com/users/MarckK/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/MarckK/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/MarckK/subscriptions",
"type": "User",
"url": "https://api.github.com/users/MarckK"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
},
{
"color": "a2bca7",
"default": false,
"description": "Continuous Integratio... | open | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 2 | 2019-02-15T23:14:16Z | 2021-07-15T16:08:48Z | null | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `SA04` (Missing description for See Also reference), fixing them in the code base enables the addition to the CI for automated testing in the future.
Please see [overview of the errors](https://gist.github.com/198cfa552c727d71bd7360fda66fdbb4).
Todo:
* [ ] get rid of the errors in the code base
* [ ] update the `code_check.sh` script to take into account the `SA04` type of errors | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25337/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25337/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25338 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25338/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25338/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25338/events | https://github.com/pandas-dev/pandas/pull/25338 | 410,993,804 | MDExOlB1bGxSZXF1ZXN0MjUzNTk4MjQ4 | 25,338 | Interval dtype fix | {
"avatar_url": "https://avatars.githubusercontent.com/u/42625717?v=4",
"events_url": "https://api.github.com/users/zangell44/events{/privacy}",
"followers_url": "https://api.github.com/users/zangell44/followers",
"following_url": "https://api.github.com/users/zangell44/following{/other_user}",
"gists_url": "https://api.github.com/users/zangell44/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/zangell44",
"id": 42625717,
"login": "zangell44",
"node_id": "MDQ6VXNlcjQyNjI1NzE3",
"organizations_url": "https://api.github.com/users/zangell44/orgs",
"received_events_url": "https://api.github.com/users/zangell44/received_events",
"repos_url": "https://api.github.com/users/zangell44/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/zangell44/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/zangell44/subscriptions",
"type": "User",
"url": "https://api.github.com/users/zangell44"
} | [
{
"color": "e102d8",
"default": false,
"description": "Unexpected or buggy dtype conversions",
"id": 31404521,
"name": "Dtype Conversions",
"node_id": "MDU6TGFiZWwzMTQwNDUyMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Dtype%20Conversions"
},
{
"color": "009... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 8 | 2019-02-15T23:53:58Z | 2019-02-20T04:00:57Z | 2019-02-20T03:51:05Z | CONTRIBUTOR | null | - [x] closes #25283
- [x] test added to ensure pd.api.types.IntervalDtype('IntervalA') throws TypeError
- [x] test added to ensure pd.api.types.IntervalDtype.construct_from_string('IntervalA') throws TypeError
- [x] test added to ensure pd.api.types.IntervalDtype.is_dtype('IntervalA') returns false
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] test added to ensure * `Series(['IntervalA', 'IntervalB', 'IntervalC']) == 'IntervalA'` returns the expected boolean series
- [x] what's new note added to doc/source/whatsnew/v0.24.2.rst documenting regression fix | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25338/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25338/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25338.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25338",
"merged_at": "2019-02-20T03:51:05Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25338.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25338"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25339 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25339/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25339/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25339/events | https://github.com/pandas-dev/pandas/pull/25339 | 411,027,583 | MDExOlB1bGxSZXF1ZXN0MjUzNjIwMTA5 | 25,339 | ENH: .to_latex(longtable=True) latex caption and label support | {
"avatar_url": "https://avatars.githubusercontent.com/u/36767735?v=4",
"events_url": "https://api.github.com/users/jeschwar/events{/privacy}",
"followers_url": "https://api.github.com/users/jeschwar/followers",
"following_url": "https://api.github.com/users/jeschwar/following{/other_user}",
"gists_url": "https://api.github.com/users/jeschwar/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jeschwar",
"id": 36767735,
"login": "jeschwar",
"node_id": "MDQ6VXNlcjM2NzY3NzM1",
"organizations_url": "https://api.github.com/users/jeschwar/orgs",
"received_events_url": "https://api.github.com/users/jeschwar/received_events",
"repos_url": "https://api.github.com/users/jeschwar/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jeschwar/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jeschwar/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jeschwar"
} | [
{
"color": "ededed",
"default": false,
"description": "__repr__ of pandas objects, to_string",
"id": 13101118,
"name": "Output-Formatting",
"node_id": "MDU6TGFiZWwxMzEwMTExOA==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Output-Formatting"
}
] | closed | false | null | [] | null | 5 | 2019-02-16T04:50:20Z | 2019-02-25T05:23:38Z | 2019-02-25T04:35:48Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
When creating a latex table with `DataFrame.to_latex(longtable=False)` the output is written inside a latex `tabular` environment and stored in some file like `pandas_tabular.tex`; the user can conveniently typeset the table in a main `report.tex` file complete with caption and label as follows:
```tex
\begin{table}
\caption{the caption}
\label{the label}
\input{pandas_tabular.tex}
\end{table}
```
This is good because the `pandas_tabular.tex` file can be re-created and the main `report.tex` simply needs to be recompiled to get the updated output.
The problem when creating a latex [longtable](https://ctan.org/pkg/longtable) with `DataFrame.to_latex(longtable=True)` is the caption and label need to go inside the latex `longtable` environment which is stored in a some file like `pandas_longtable.tex`. The latex `longtable` environment does not go inside a `table` environment like the `tabular` environment does; this means that setting the caption and label requires the user to edit the `pandas_longtable.tex` file after its creation. This does not support an automated workflow like we have with the `tabular` environment.
**This PR adds caption and label support to `DataFrame.to_latex(longtable=True)` with the arguments `lt_caption` and `lt_label`. Example usage is described below.**
The following python code creates some data in a `DataFrame` and writes it to disk in `tabular` and `longtable` latex environments:
```python
import numpy as np
import pandas as pd
# create some example data with more rows than would fit on a single page
df = pd.DataFrame(np.random.randn(60,3))
# write the first 5 rows to regular table in a latex tabular environment
df.head().to_latex(
'pandas_tabular.tex',
)
# write the whole table in the latex longtable environment c/w caption and label
df.to_latex(
'pandas_longtable.tex',
longtable=True,
lt_caption='table in \\texttt{longtable} environment',
lt_label='tab:longtable',
)
```
The following latex code is contained in a main `report.tex` and is used to typset both tables:
```tex
\documentclass{article}
\usepackage{longtable}
\usepackage{booktabs}
\begin{document}
% typeset the table in the tabular environment
Table \ref{tab:tabular} is a \texttt{tabular} and has 5 rows:
\begin{table}[h]
\centering
\caption{table in \texttt{tabular} environment}
\label{tab:tabular}
\input{pandas_tabular.tex}
\end{table}
% typeset the table in the longtable environment
Table \ref{tab:longtable} is a \texttt{longtable} and has 60 rows:
\input{pandas_longtable.tex}
\end{document}
```
Using `DataFrame.to_latex(longtable=True)` with the new arguments `lt_caption` and `lt_label` means we don't have to edit `pandas_longtable.tex` after its creation to get the caption and label working. This functionality also works with `Series.to_latex(longtable=True)`.
PDF output is shown below:
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25339/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25339/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25339.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25339",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25339.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25339"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25340 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25340/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25340/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25340/events | https://github.com/pandas-dev/pandas/pull/25340 | 411,064,491 | MDExOlB1bGxSZXF1ZXN0MjUzNjM3NTk1 | 25,340 | CLN: Excel Module Cleanups pandas-dev #25271 | {
"avatar_url": "https://avatars.githubusercontent.com/u/25238852?v=4",
"events_url": "https://api.github.com/users/theoseo/events{/privacy}",
"followers_url": "https://api.github.com/users/theoseo/followers",
"following_url": "https://api.github.com/users/theoseo/following{/other_user}",
"gists_url": "https://api.github.com/users/theoseo/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/theoseo",
"id": 25238852,
"login": "theoseo",
"node_id": "MDQ6VXNlcjI1MjM4ODUy",
"organizations_url": "https://api.github.com/users/theoseo/orgs",
"received_events_url": "https://api.github.com/users/theoseo/received_events",
"repos_url": "https://api.github.com/users/theoseo/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/theoseo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/theoseo/subscriptions",
"type": "User",
"url": "https://api.github.com/users/theoseo"
} | [
{
"color": "bfe5bf",
"default": false,
"description": "read_excel, to_excel",
"id": 49254273,
"name": "IO Excel",
"node_id": "MDU6TGFiZWw0OTI1NDI3Mw==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20Excel"
}
] | closed | false | null | [] | null | 4 | 2019-02-16T11:39:27Z | 2019-02-16T16:38:49Z | 2019-02-16T16:38:44Z | NONE | null | - [X] closes #25271
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25340/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25340/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25340.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25340",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25340.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25340"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25341 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25341/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25341/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25341/events | https://github.com/pandas-dev/pandas/issues/25341 | 411,086,384 | MDU6SXNzdWU0MTEwODYzODQ= | 25,341 | BUG: import error with python>=3.6.x since 0.23.0 | {
"avatar_url": "https://avatars.githubusercontent.com/u/14131823?v=4",
"events_url": "https://api.github.com/users/minggli/events{/privacy}",
"followers_url": "https://api.github.com/users/minggli/followers",
"following_url": "https://api.github.com/users/minggli/following{/other_user}",
"gists_url": "https://api.github.com/users/minggli/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/minggli",
"id": 14131823,
"login": "minggli",
"node_id": "MDQ6VXNlcjE0MTMxODIz",
"organizations_url": "https://api.github.com/users/minggli/orgs",
"received_events_url": "https://api.github.com/users/minggli/received_events",
"repos_url": "https://api.github.com/users/minggli/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/minggli/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/minggli/subscriptions",
"type": "User",
"url": "https://api.github.com/users/minggli"
} | [] | closed | false | null | [] | null | 2 | 2019-02-16T16:11:27Z | 2021-05-18T22:25:46Z | 2019-02-16T17:34:05Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import sys
print(sys.version)
import pandas as pd
```
#### Problem description
It appears to work fine on python 3.5.5 but not on 3.6.5 or 3.7.0
```python
3.7.0 (default, Jul 6 2018, 14:29:43)
[Clang 9.0.0 (clang-900.0.39.2)]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/mingli/.virtualenvs/test/lib/python3.7/site-packages/pandas/__init__.py", line 23, in <module>
from pandas.compat.numpy import *
File "/Users/mingli/.virtualenvs/test/lib/python3.7/site-packages/pandas/compat/__init__.py", line 447, in <module>
re_type = typing.re.Pattern
AttributeError: module 'typing' has no attribute 're'
```
#### Expected Output
```python
3.7.0 (default, Jul 6 2018, 14:29:43)
[Clang 9.0.0 (clang-900.0.39.2)]
```
#### Output of ``pd.show_versions()``
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25341/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25341/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25342 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25342/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25342/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25342/events | https://github.com/pandas-dev/pandas/pull/25342 | 411,088,344 | MDExOlB1bGxSZXF1ZXN0MjUzNjUyNTUz | 25,342 | Backport PR #25264 on branch 0.24.x (BUG: groupby.transform retains timezone information) | {
"avatar_url": "https://avatars.githubusercontent.com/u/39504233?v=4",
"events_url": "https://api.github.com/users/meeseeksmachine/events{/privacy}",
"followers_url": "https://api.github.com/users/meeseeksmachine/followers",
"following_url": "https://api.github.com/users/meeseeksmachine/following{/other_user}",
"gists_url": "https://api.github.com/users/meeseeksmachine/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/meeseeksmachine",
"id": 39504233,
"login": "meeseeksmachine",
"node_id": "MDQ6VXNlcjM5NTA0MjMz",
"organizations_url": "https://api.github.com/users/meeseeksmachine/orgs",
"received_events_url": "https://api.github.com/users/meeseeksmachine/received_events",
"repos_url": "https://api.github.com/users/meeseeksmachine/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/meeseeksmachine/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/meeseeksmachine/subscriptions",
"type": "User",
"url": "https://api.github.com/users/meeseeksmachine"
} | [
{
"color": "729FCF",
"default": false,
"description": null,
"id": 233160,
"name": "Groupby",
"node_id": "MDU6TGFiZWwyMzMxNjA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Groupby"
},
{
"color": "5319e7",
"default": false,
"description": "Timezone data d... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 2 | 2019-02-16T16:32:35Z | 2019-02-16T17:28:38Z | 2019-02-16T17:28:04Z | NONE | null | Backport PR #25264: BUG: groupby.transform retains timezone information | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25342/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25342/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25342.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25342",
"merged_at": "2019-02-16T17:28:04Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25342.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25342"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25343 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25343/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25343/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25343/events | https://github.com/pandas-dev/pandas/pull/25343 | 411,088,536 | MDExOlB1bGxSZXF1ZXN0MjUzNjUyNjY2 | 25,343 | Backport PR #25088 on branch 0.24.x (Fixes Formatting Exception) | {
"avatar_url": "https://avatars.githubusercontent.com/u/39504233?v=4",
"events_url": "https://api.github.com/users/meeseeksmachine/events{/privacy}",
"followers_url": "https://api.github.com/users/meeseeksmachine/followers",
"following_url": "https://api.github.com/users/meeseeksmachine/following{/other_user}",
"gists_url": "https://api.github.com/users/meeseeksmachine/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/meeseeksmachine",
"id": 39504233,
"login": "meeseeksmachine",
"node_id": "MDQ6VXNlcjM5NTA0MjMz",
"organizations_url": "https://api.github.com/users/meeseeksmachine/orgs",
"received_events_url": "https://api.github.com/users/meeseeksmachine/received_events",
"repos_url": "https://api.github.com/users/meeseeksmachine/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/meeseeksmachine/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/meeseeksmachine/subscriptions",
"type": "User",
"url": "https://api.github.com/users/meeseeksmachine"
} | [
{
"color": "ededed",
"default": false,
"description": "__repr__ of pandas objects, to_string",
"id": 13101118,
"name": "Output-Formatting",
"node_id": "MDU6TGFiZWwxMzEwMTExOA==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Output-Formatting"
}
] | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 2 | 2019-02-16T16:34:59Z | 2019-02-16T17:59:38Z | 2019-02-16T17:57:13Z | NONE | null | Backport PR #25088: Fixes Formatting Exception | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25343/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25343/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25343.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25343",
"merged_at": "2019-02-16T17:57:13Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25343.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25343"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25344 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25344/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25344/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25344/events | https://github.com/pandas-dev/pandas/pull/25344 | 411,100,809 | MDExOlB1bGxSZXF1ZXN0MjUzNjYwNTM3 | 25,344 | Backport PR #25304 on branch 0.24.x (BUG: Fix passing of numeric_only argument for categorical reduce) | {
"avatar_url": "https://avatars.githubusercontent.com/u/39504233?v=4",
"events_url": "https://api.github.com/users/meeseeksmachine/events{/privacy}",
"followers_url": "https://api.github.com/users/meeseeksmachine/followers",
"following_url": "https://api.github.com/users/meeseeksmachine/following{/other_user}",
"gists_url": "https://api.github.com/users/meeseeksmachine/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/meeseeksmachine",
"id": 39504233,
"login": "meeseeksmachine",
"node_id": "MDQ6VXNlcjM5NTA0MjMz",
"organizations_url": "https://api.github.com/users/meeseeksmachine/orgs",
"received_events_url": "https://api.github.com/users/meeseeksmachine/received_events",
"repos_url": "https://api.github.com/users/meeseeksmachine/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/meeseeksmachine/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/meeseeksmachine/subscriptions",
"type": "User",
"url": "https://api.github.com/users/meeseeksmachine"
} | [
{
"color": "e11d21",
"default": false,
"description": "Categorical Data Type",
"id": 78527356,
"name": "Categorical",
"node_id": "MDU6TGFiZWw3ODUyNzM1Ng==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Categorical"
}
] | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 2 | 2019-02-16T18:50:01Z | 2019-02-16T19:52:38Z | 2019-02-16T19:52:37Z | NONE | null | Backport PR #25304: BUG: Fix passing of numeric_only argument for categorical reduce | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25344/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25344/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25344.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25344",
"merged_at": "2019-02-16T19:52:37Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25344.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25344"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25345 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25345/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25345/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25345/events | https://github.com/pandas-dev/pandas/issues/25345 | 411,102,375 | MDU6SXNzdWU0MTExMDIzNzU= | 25,345 | Argument 'fastpath' in 'Categorical' not documented | {
"avatar_url": "https://avatars.githubusercontent.com/u/11860098?v=4",
"events_url": "https://api.github.com/users/david-cortes/events{/privacy}",
"followers_url": "https://api.github.com/users/david-cortes/followers",
"following_url": "https://api.github.com/users/david-cortes/following{/other_user}",
"gists_url": "https://api.github.com/users/david-cortes/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/david-cortes",
"id": 11860098,
"login": "david-cortes",
"node_id": "MDQ6VXNlcjExODYwMDk4",
"organizations_url": "https://api.github.com/users/david-cortes/orgs",
"received_events_url": "https://api.github.com/users/david-cortes/received_events",
"repos_url": "https://api.github.com/users/david-cortes/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/david-cortes/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/david-cortes/subscriptions",
"type": "User",
"url": "https://api.github.com/users/david-cortes"
} | [
{
"color": "e11d21",
"default": false,
"description": "Categorical Data Type",
"id": 78527356,
"name": "Categorical",
"node_id": "MDU6TGFiZWw3ODUyNzM1Ng==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Categorical"
}
] | closed | false | null | [] | null | 2 | 2019-02-16T19:07:46Z | 2019-07-02T12:22:21Z | 2019-02-16T19:39:11Z | CONTRIBUTOR | null | In documentaion for `pandas.Categorical`:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Categorical.html
Argument `fastpath` which can be passed to the class constructor is not documented on the docstring:
https://github.com/pandas-dev/pandas/blob/master/pandas/core/arrays/categorical.py | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25345/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25345/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25346 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25346/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25346/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25346/events | https://github.com/pandas-dev/pandas/pull/25346 | 411,104,148 | MDExOlB1bGxSZXF1ZXN0MjUzNjYyNjQ0 | 25,346 | TST: use a fixed seed to have the same uniques across python versions | {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
},
{
"color": "207de5",
"d... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 3 | 2019-02-16T19:24:34Z | 2019-03-11T16:50:51Z | 2019-02-16T20:41:05Z | CONTRIBUTOR | null | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25346/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25346/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25346.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25346",
"merged_at": "2019-02-16T20:41:05Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25346.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25346"
} | |
https://api.github.com/repos/pandas-dev/pandas/issues/25347 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25347/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25347/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25347/events | https://github.com/pandas-dev/pandas/issues/25347 | 411,128,955 | MDU6SXNzdWU0MTExMjg5NTU= | 25,347 | API: ExtensionArray "serialize" and "from_serialized" methods for defining roundtripping behavior | {
"avatar_url": "https://avatars.githubusercontent.com/u/10647082?v=4",
"events_url": "https://api.github.com/users/mroeschke/events{/privacy}",
"followers_url": "https://api.github.com/users/mroeschke/followers",
"following_url": "https://api.github.com/users/mroeschke/following{/other_user}",
"gists_url": "https://api.github.com/users/mroeschke/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mroeschke",
"id": 10647082,
"login": "mroeschke",
"node_id": "MDQ6VXNlcjEwNjQ3MDgy",
"organizations_url": "https://api.github.com/users/mroeschke/orgs",
"received_events_url": "https://api.github.com/users/mroeschke/received_events",
"repos_url": "https://api.github.com/users/mroeschke/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mroeschke/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mroeschke/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mroeschke"
} | [
{
"color": "207de5",
"default": false,
"description": "Requires discussion from core team before further action",
"id": 219960758,
"name": "Needs Discussion",
"node_id": "MDU6TGFiZWwyMTk5NjA3NTg=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Needs%20Discussion"
},
{... | open | false | null | [] | null | 6 | 2019-02-16T23:53:37Z | 2020-09-22T03:20:28Z | null | MEMBER | null | xref https://github.com/pandas-dev/pandas/pull/25308#discussion_r257468179
When EAs go through cython routines, they need to be converted to numpy arrays (and dtypes) first and then recast to the correct EA. This recast may require specific logic. For example, `DatetimeTZDtype`s need to be localized to UTC first before applying the dtype.
The proposal is for (optional) internal `_serialize` and `_from_serialized` methods that defines specific recasting logic for the EA. @jreback proposed something like:
```
serialized, dtype = EA._serialize()
original = EA._from_serialize(serialized, dtype)
```
Thoughts @jorisvandenbossche @TomAugspurger @jbrockmendel | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25347/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25347/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25348 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25348/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25348/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25348/events | https://github.com/pandas-dev/pandas/issues/25348 | 411,143,020 | MDU6SXNzdWU0MTExNDMwMjA= | 25,348 | [SOLVED - NOT BUG] DataFrame.rename method changing the datetime format. | {
"avatar_url": "https://avatars.githubusercontent.com/u/25715921?v=4",
"events_url": "https://api.github.com/users/rickymal/events{/privacy}",
"followers_url": "https://api.github.com/users/rickymal/followers",
"following_url": "https://api.github.com/users/rickymal/following{/other_user}",
"gists_url": "https://api.github.com/users/rickymal/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/rickymal",
"id": 25715921,
"login": "rickymal",
"node_id": "MDQ6VXNlcjI1NzE1OTIx",
"organizations_url": "https://api.github.com/users/rickymal/orgs",
"received_events_url": "https://api.github.com/users/rickymal/received_events",
"repos_url": "https://api.github.com/users/rickymal/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/rickymal/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rickymal/subscriptions",
"type": "User",
"url": "https://api.github.com/users/rickymal"
} | [
{
"color": "0052cc",
"default": false,
"description": null,
"id": 34444536,
"name": "Usage Question",
"node_id": "MDU6TGFiZWwzNDQ0NDUzNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Usage%20Question"
}
] | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 2361,
"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisvandenbossche/followers",
"following_url": "https://api.github.com/users/jorisvandenbossche/following{/other_user}",
"gists_url": "https://api.github.com/users/jorisvandenbossche/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jorisvandenbossche",
"id": 1020496,
"login": "jorisvandenbossche",
"node_id": "MDQ6VXNlcjEwMjA0OTY=",
"organizations_url": "https://api.github.com/users/jorisvandenbossche/orgs",
"received_events_url": "https://api.github.com/users/jorisvandenbossche/received_events",
"repos_url": "https://api.github.com/users/jorisvandenbossche/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jorisvandenbossche/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jorisvandenbossche"
},
"description": "A milestone for closed or open issues for which there is no action needed (eg not a bug, just a question / discussion, nothing to resolve, wontfix, etc).\r\n\r\n",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/33",
"id": 997544,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33/labels",
"node_id": "MDk6TWlsZXN0b25lOTk3NTQ0",
"number": 33,
"open_issues": 11,
"state": "open",
"title": "No action",
"updated_at": "2021-11-19T17:33:16Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33"
} | 4 | 2019-02-17T03:24:50Z | 2019-02-18T13:29:01Z | 2019-02-18T05:51:34Z | NONE | null | The Rename Method from DataFrame convert de datetime format in the original form.
I have a datetime in the format %Y-%m-%d in a DataFrame. Before I use de rename method this DataFrame change the format to %Y-%m-%d 00:00:00. This is a Bug? isn't correct rename the index too. I think that this method should only rename de columns that i put
A Example:
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25348/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25348/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25349 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25349/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25349/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25349/events | https://github.com/pandas-dev/pandas/issues/25349 | 411,182,952 | MDU6SXNzdWU0MTExODI5NTI= | 25,349 | pd.concat does not work correctly | {
"avatar_url": "https://avatars.githubusercontent.com/u/17707763?v=4",
"events_url": "https://api.github.com/users/Mark531/events{/privacy}",
"followers_url": "https://api.github.com/users/Mark531/followers",
"following_url": "https://api.github.com/users/Mark531/following{/other_user}",
"gists_url": "https://api.github.com/users/Mark531/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Mark531",
"id": 17707763,
"login": "Mark531",
"node_id": "MDQ6VXNlcjE3NzA3NzYz",
"organizations_url": "https://api.github.com/users/Mark531/orgs",
"received_events_url": "https://api.github.com/users/Mark531/received_events",
"repos_url": "https://api.github.com/users/Mark531/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Mark531/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Mark531/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Mark531"
} | [] | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 2361,
"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisvandenbossche/followers",
"following_url": "https://api.github.com/users/jorisvandenbossche/following{/other_user}",
"gists_url": "https://api.github.com/users/jorisvandenbossche/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jorisvandenbossche",
"id": 1020496,
"login": "jorisvandenbossche",
"node_id": "MDQ6VXNlcjEwMjA0OTY=",
"organizations_url": "https://api.github.com/users/jorisvandenbossche/orgs",
"received_events_url": "https://api.github.com/users/jorisvandenbossche/received_events",
"repos_url": "https://api.github.com/users/jorisvandenbossche/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jorisvandenbossche/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jorisvandenbossche"
},
"description": "A milestone for closed or open issues for which there is no action needed (eg not a bug, just a question / discussion, nothing to resolve, wontfix, etc).\r\n\r\n",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/33",
"id": 997544,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33/labels",
"node_id": "MDk6TWlsZXN0b25lOTk3NTQ0",
"number": 33,
"open_issues": 11,
"state": "open",
"title": "No action",
"updated_at": "2021-11-19T17:33:16Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33"
} | 6 | 2019-02-17T12:35:23Z | 2020-07-14T14:48:29Z | 2019-02-17T12:54:54Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df1.shape # (21141, 59)
df2.shape # (21141, 6)
result = pd.concat([df1, df2], axis=1, ignore_index=True)
result.shape # (42282, 65)
```
#### Problem description
I have 2 dataframes that I try to concatenate horizontally. The method concat doesn't work: it returns a dataframe with a wrong dimension. Moreover, all column names happen to be changed to numbers going from 0 to 64...
The dataframes are created from a dataset that is a bit big so I cannot reproduce the creation code here but I can provide you with more details by e-mail.
#### Expected Output
The right dimension should be (21141, 65) and the resulting columns should be just the concatenation of df1's columns and df2's columns.
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.5.4.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 42 Stepping 7, GenuineIntel
byteorder: little
LC_ALL: None
LANG: fr
LOCALE: None.None
pandas: 0.22.0
pytest: 3.3.2
pip: 18.0
setuptools: 39.0.1
Cython: 0.27.3
numpy: 1.14.2
scipy: 1.0.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.6.6
patsy: 0.5.0
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.4
feather: None
matplotlib: 2.1.2
openpyxl: 2.4.10
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.2
lxml: 4.1.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.1
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25349/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25349/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25350 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25350/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25350/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25350/events | https://github.com/pandas-dev/pandas/pull/25350 | 411,192,339 | MDExOlB1bGxSZXF1ZXN0MjUzNzE0MzQ3 | 25,350 | DOC: Fixing SA04 errors as per #25337 | {
"avatar_url": "https://avatars.githubusercontent.com/u/37672187?v=4",
"events_url": "https://api.github.com/users/Sedosa/events{/privacy}",
"followers_url": "https://api.github.com/users/Sedosa/followers",
"following_url": "https://api.github.com/users/Sedosa/following{/other_user}",
"gists_url": "https://api.github.com/users/Sedosa/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Sedosa",
"id": 37672187,
"login": "Sedosa",
"node_id": "MDQ6VXNlcjM3NjcyMTg3",
"organizations_url": "https://api.github.com/users/Sedosa/orgs",
"received_events_url": "https://api.github.com/users/Sedosa/received_events",
"repos_url": "https://api.github.com/users/Sedosa/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Sedosa/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Sedosa/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Sedosa"
} | [] | closed | false | null | [] | null | 1 | 2019-02-17T14:18:11Z | 2019-02-17T15:04:30Z | 2019-02-17T15:04:30Z | CONTRIBUTOR | null | - [ ] Went through every file and filled in missing references in See Also section
- [ ] Updated code_check.sh to reflect it.
To do this I went through every file and corrected the SA04 errors.
When executing "validation_docstring.py" as per the "Pandas documentation validation errors" page, SA04 errors were still appearing but I haven't been able to locate them. Assistance may be required. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25350/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25350/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25350.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25350",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25350.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25350"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25351 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25351/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25351/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25351/events | https://github.com/pandas-dev/pandas/issues/25351 | 411,196,383 | MDU6SXNzdWU0MTExOTYzODM= | 25,351 | ERR: excel styler tests failing recently | {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
},
{
"color": "bfe5bf",
"d... | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 6 | 2019-02-17T15:00:26Z | 2021-10-19T00:44:23Z | 2021-10-19T00:44:23Z | CONTRIBUTOR | null | https://travis-ci.org/pandas-dev/pandas/jobs/494493327
xref @jnothman | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25351/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25351/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25352 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25352/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25352/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25352/events | https://github.com/pandas-dev/pandas/pull/25352 | 411,196,563 | MDExOlB1bGxSZXF1ZXN0MjUzNzE2OTQz | 25,352 | TST: xfail excel styler tests, xref GH25351 | {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
},
{
"color": "bfe5bf",
"d... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 2 | 2019-02-17T15:02:02Z | 2019-02-17T17:29:52Z | 2019-02-17T17:27:07Z | CONTRIBUTOR | null | xref #25351 | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25352/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25352/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25352.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25352",
"merged_at": "2019-02-17T17:27:07Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25352.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25352"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25353 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25353/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25353/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25353/events | https://github.com/pandas-dev/pandas/issues/25353 | 411,196,676 | MDU6SXNzdWU0MTExOTY2NzY= | 25,353 | astype(str) / astype_unicode: np.nan converted to "nan" (checknull, skipna) | {
"avatar_url": "https://avatars.githubusercontent.com/u/40694343?v=4",
"events_url": "https://api.github.com/users/ThibTrip/events{/privacy}",
"followers_url": "https://api.github.com/users/ThibTrip/followers",
"following_url": "https://api.github.com/users/ThibTrip/following{/other_user}",
"gists_url": "https://api.github.com/users/ThibTrip/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ThibTrip",
"id": 40694343,
"login": "ThibTrip",
"node_id": "MDQ6VXNlcjQwNjk0MzQz",
"organizations_url": "https://api.github.com/users/ThibTrip/orgs",
"received_events_url": "https://api.github.com/users/ThibTrip/received_events",
"repos_url": "https://api.github.com/users/ThibTrip/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ThibTrip/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ThibTrip/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ThibTrip"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "d7e102",
"default": false,
"description": "np.nan, pd.NaT, pd.NA, d... | open | false | null | [] | null | 10 | 2019-02-17T15:03:15Z | 2021-05-07T19:42:55Z | null | CONTRIBUTOR | null | #### Code Sample
```python
>>> import pandas as pd
>>> import numpy as np
>>> pd.Series(["foo",np.nan]).astype(str)
```
#### Output
0 foo
1 nan # nan string
dtype: object
#### Expected output
0 foo
1 NaN # np.nan
dtype: object
#### Problem description
Upon converting this Series I would expect np.nan to remain np.nan but instead it is casted to string "nan". Maybe I'm alone in this and you'd actually expect that (I can't see a realistic use case for these string "nan" but well...).
So I could figure out than upon using the code sample the Series' values are processed through astype_unicode in pandas._libs.lib.
There is a skipna argument in astype_unicode and I thought it would get passed along when using pd.Series.astype(str,skipna = True) but it does not. The docstring of pd.Series.astype does not mention skipna explicitely but mentions kwargs so I tried doing this while printing skipna in astype_unicode:
```
pd.Series(["foo",np.nan]).astype(str, skipna = True)
```
Skipna stayed to the default value False in astype_unicode so it does not get passed along.
However when using astype_unicode directly setting skipna to True will not change the output of the the code sample anyways because **checknull** does not seem to work properly.
You can test that by printing the result of checknull in lib.pyx as I did here:
https://github.com/ThibTrip/pandas/commit/4a5c8397304e3026456d864fd5aeb7b8b9adca5f
#### Input
```python
>>> from pandas._lib.lib import astype_unicode
>>> import numpy as np
>>> astype_unicode(np.array(["foo",np.nan]))
```
#### Output
```
foo is null? False
nan is null? False
array(['foo', 'nan'], dtype=object)
```
#### Expected output
```
foo is null? False
nan is null? True
array(['foo', NaN], dtype=object)
```
I tried patching it (so not a proper fix) using the code below but it din't work.
Also would be nice to be able to do pd.Series.astype(str,skipna = True). Whether skipna should then be True or False as default is another matter.
```
>>> if not (skipna and checknull(arr_i)):
>>> if arr_i is not np.nan:
>>> arr_i = unicode(arr_i)
```
All of this was done in a developper version I installed today (see details below). The only alteration is the code in my commit linked above.
Sorry if this has been referenced before I searched in various ways and could not find anything except a similar issue with pd.read_excel and dtype str:
https://github.com/nikoskaragiannakis/pandas/commit/694849da2654d832d5717adabf3fe4e1d5489d43
Also very sorry for the mess with the commits I got a bit confused during my investigation (also I did not get enough sleep). Is it possible to delete all but my last commit? The other ones are irrelevant.
Cheers Thibault
<details>
INSTALLED VERSIONS
------------------
commit: 4a5c8397304e3026456d864fd5aeb7b8b9adca5f
python: 3.7.2.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 69 Stepping 1, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.25.0.dev0+132.g4a5c83973.dirty
pytest: 4.2.0
pip: 19.0.1
setuptools: 40.7.3
Cython: 0.29.5
numpy: 1.15.4
scipy: 1.2.0
pyarrow: 0.11.1
xarray: 0.11.0
IPython: 7.2.0
sphinx: 1.8.4
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.9
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 3.0.2
openpyxl: 2.6.0
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml.etree: 4.3.1
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: 1.2.17
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: 0.2.0
fastparquet: 0.2.1
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25353/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25353/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25354 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25354/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25354/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25354/events | https://github.com/pandas-dev/pandas/pull/25354 | 411,197,226 | MDExOlB1bGxSZXF1ZXN0MjUzNzE3MzI5 | 25,354 | DOC: Fixing SA04 errors as per #25337 | {
"avatar_url": "https://avatars.githubusercontent.com/u/37672187?v=4",
"events_url": "https://api.github.com/users/Sedosa/events{/privacy}",
"followers_url": "https://api.github.com/users/Sedosa/followers",
"following_url": "https://api.github.com/users/Sedosa/following{/other_user}",
"gists_url": "https://api.github.com/users/Sedosa/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Sedosa",
"id": 37672187,
"login": "Sedosa",
"node_id": "MDQ6VXNlcjM3NjcyMTg3",
"organizations_url": "https://api.github.com/users/Sedosa/orgs",
"received_events_url": "https://api.github.com/users/Sedosa/received_events",
"repos_url": "https://api.github.com/users/Sedosa/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Sedosa/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Sedosa/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Sedosa"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
},
{
"color": "a2bca7",
"default": false,
"description": "Continuous Integratio... | closed | false | null | [] | null | 9 | 2019-02-17T15:08:34Z | 2019-03-19T04:18:16Z | 2019-03-19T04:18:16Z | CONTRIBUTOR | null | - [x] closes #25337
- [x] Updated code_checks.sh
Went through every file and included "See Also" reference, PEP8 compliant. According to the "validate_docstring.py" script the were SA04 errors but having checked every file I have been unable to locate them. Assistance may be required.
Implemented feedback from original pull request.
Updated code_checks.sh to reflect changes. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25354/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25354/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25354.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25354",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25354.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25354"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25355 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25355/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25355/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25355/events | https://github.com/pandas-dev/pandas/pull/25355 | 411,222,438 | MDExOlB1bGxSZXF1ZXN0MjUzNzMyMTIy | 25,355 | CLN: Parmeterize test cases | {
"avatar_url": "https://avatars.githubusercontent.com/u/16733618?v=4",
"events_url": "https://api.github.com/users/alimcmaster1/events{/privacy}",
"followers_url": "https://api.github.com/users/alimcmaster1/followers",
"following_url": "https://api.github.com/users/alimcmaster1/following{/other_user}",
"gists_url": "https://api.github.com/users/alimcmaster1/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/alimcmaster1",
"id": 16733618,
"login": "alimcmaster1",
"node_id": "MDQ6VXNlcjE2NzMzNjE4",
"organizations_url": "https://api.github.com/users/alimcmaster1/orgs",
"received_events_url": "https://api.github.com/users/alimcmaster1/received_events",
"repos_url": "https://api.github.com/users/alimcmaster1/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/alimcmaster1/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/alimcmaster1/subscriptions",
"type": "User",
"url": "https://api.github.com/users/alimcmaster1"
} | [
{
"color": "FCE94F",
"default": false,
"description": "Internal refactoring of code",
"id": 127681,
"name": "Refactor",
"node_id": "MDU6TGFiZWwxMjc2ODE=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Refactor"
},
{
"color": "C4A000",
"default": false,
"de... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 7 | 2019-02-17T19:04:46Z | 2019-03-09T02:03:01Z | 2019-03-09T02:02:56Z | CONTRIBUTOR | null | - [x] xref #22624
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25355/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25355/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25355.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25355",
"merged_at": "2019-03-09T02:02:56Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25355.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25355"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25356 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25356/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25356/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25356/events | https://github.com/pandas-dev/pandas/issues/25356 | 411,239,866 | MDU6SXNzdWU0MTEyMzk4NjY= | 25,356 | Fix validation error type `RT01` and check in CI | {
"avatar_url": "https://avatars.githubusercontent.com/u/15032115?v=4",
"events_url": "https://api.github.com/users/MarckK/events{/privacy}",
"followers_url": "https://api.github.com/users/MarckK/followers",
"following_url": "https://api.github.com/users/MarckK/following{/other_user}",
"gists_url": "https://api.github.com/users/MarckK/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/MarckK",
"id": 15032115,
"login": "MarckK",
"node_id": "MDQ6VXNlcjE1MDMyMTE1",
"organizations_url": "https://api.github.com/users/MarckK/orgs",
"received_events_url": "https://api.github.com/users/MarckK/received_events",
"repos_url": "https://api.github.com/users/MarckK/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/MarckK/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/MarckK/subscriptions",
"type": "User",
"url": "https://api.github.com/users/MarckK"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
},
{
"color": "a2bca7",
"default": false,
"description": "Continuous Integratio... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 5 | 2019-02-17T21:53:13Z | 2019-05-08T03:57:09Z | 2019-05-08T03:57:09Z | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `RT01` (No Returns section found), fixing them in the code base enables the addition to the CI for automated testing in the future.
Please see [overview of the errors](https://gist.github.com/198cfa552c727d71bd7360fda66fdbb4).
Todo:
* [ ] get rid of the errors in the code base
* [ ] update the `code_check.sh` script to take into account the `RT01` type of errors | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25356/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25356/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25357 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25357/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25357/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25357/events | https://github.com/pandas-dev/pandas/issues/25357 | 411,245,654 | MDU6SXNzdWU0MTEyNDU2NTQ= | 25,357 | DataFrame.dropna() fill Data and interpolating. Why? | {
"avatar_url": "https://avatars.githubusercontent.com/u/25715921?v=4",
"events_url": "https://api.github.com/users/rickymal/events{/privacy}",
"followers_url": "https://api.github.com/users/rickymal/followers",
"following_url": "https://api.github.com/users/rickymal/following{/other_user}",
"gists_url": "https://api.github.com/users/rickymal/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/rickymal",
"id": 25715921,
"login": "rickymal",
"node_id": "MDQ6VXNlcjI1NzE1OTIx",
"organizations_url": "https://api.github.com/users/rickymal/orgs",
"received_events_url": "https://api.github.com/users/rickymal/received_events",
"repos_url": "https://api.github.com/users/rickymal/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/rickymal/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rickymal/subscriptions",
"type": "User",
"url": "https://api.github.com/users/rickymal"
} | [
{
"color": "d7e102",
"default": false,
"description": "np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate",
"id": 2822342,
"name": "Missing-data",
"node_id": "MDU6TGFiZWwyODIyMzQy",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Missing-data"
},
{
"color": "207de5"... | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 2361,
"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisvandenbossche/followers",
"following_url": "https://api.github.com/users/jorisvandenbossche/following{/other_user}",
"gists_url": "https://api.github.com/users/jorisvandenbossche/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jorisvandenbossche",
"id": 1020496,
"login": "jorisvandenbossche",
"node_id": "MDQ6VXNlcjEwMjA0OTY=",
"organizations_url": "https://api.github.com/users/jorisvandenbossche/orgs",
"received_events_url": "https://api.github.com/users/jorisvandenbossche/received_events",
"repos_url": "https://api.github.com/users/jorisvandenbossche/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jorisvandenbossche/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jorisvandenbossche"
},
"description": "A milestone for closed or open issues for which there is no action needed (eg not a bug, just a question / discussion, nothing to resolve, wontfix, etc).\r\n\r\n",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/33",
"id": 997544,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33/labels",
"node_id": "MDk6TWlsZXN0b25lOTk3NTQ0",
"number": 33,
"open_issues": 11,
"state": "open",
"title": "No action",
"updated_at": "2021-11-19T17:33:16Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33"
} | 5 | 2019-02-17T22:47:29Z | 2019-03-04T13:47:16Z | 2019-03-04T13:47:11Z | NONE | null | As we can see, the dropna() Method drop rows with value and add value from NaN rows. I don't undestood why.
between 1990-04 and 1990-08 u can see that we have value. But the dropna Method drop theses rows, and they are float64 value. And the dropna() method fill 1990-09 and 1990-10 with value that didn't exist.
When I plot de graphic, The original Looks Like:
but when I use dropna:
EDIT:
The output.show_versions:
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25357/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25357/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25358 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25358/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25358/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25358/events | https://github.com/pandas-dev/pandas/pull/25358 | 411,358,497 | MDExOlB1bGxSZXF1ZXN0MjUzODI1Mjc5 | 25,358 | DOC: Fix #24268 by updating description for keep in Series.nlargest | {
"avatar_url": "https://avatars.githubusercontent.com/u/13381361?v=4",
"events_url": "https://api.github.com/users/Bharat123rox/events{/privacy}",
"followers_url": "https://api.github.com/users/Bharat123rox/followers",
"following_url": "https://api.github.com/users/Bharat123rox/following{/other_user}",
"gists_url": "https://api.github.com/users/Bharat123rox/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Bharat123rox",
"id": 13381361,
"login": "Bharat123rox",
"node_id": "MDQ6VXNlcjEzMzgxMzYx",
"organizations_url": "https://api.github.com/users/Bharat123rox/orgs",
"received_events_url": "https://api.github.com/users/Bharat123rox/received_events",
"repos_url": "https://api.github.com/users/Bharat123rox/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Bharat123rox/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Bharat123rox/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Bharat123rox"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
},
{
"color": "eb6420",
"default": false,
"description": "Non-arithmetic algos:... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 5 | 2019-02-18T08:38:09Z | 2019-03-05T03:07:09Z | 2019-03-05T03:07:09Z | CONTRIBUTOR | null | Fix #24268 by updating the description of `keep` in Series.nlargest
- [x] closes #24268
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25358/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25358/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25358.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25358",
"merged_at": "2019-03-05T03:07:08Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25358.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25358"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25359 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25359/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25359/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25359/events | https://github.com/pandas-dev/pandas/issues/25359 | 411,400,158 | MDU6SXNzdWU0MTE0MDAxNTg= | 25,359 | general dataframe combine doc | {
"avatar_url": "https://avatars.githubusercontent.com/u/11853824?v=4",
"events_url": "https://api.github.com/users/wangfengming/events{/privacy}",
"followers_url": "https://api.github.com/users/wangfengming/followers",
"following_url": "https://api.github.com/users/wangfengming/following{/other_user}",
"gists_url": "https://api.github.com/users/wangfengming/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/wangfengming",
"id": 11853824,
"login": "wangfengming",
"node_id": "MDQ6VXNlcjExODUzODI0",
"organizations_url": "https://api.github.com/users/wangfengming/orgs",
"received_events_url": "https://api.github.com/users/wangfengming/received_events",
"repos_url": "https://api.github.com/users/wangfengming/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/wangfengming/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/wangfengming/subscriptions",
"type": "User",
"url": "https://api.github.com/users/wangfengming"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 1 | 2019-02-18T10:17:07Z | 2019-02-18T13:29:56Z | 2019-02-18T13:29:56Z | NONE | null |
#### Problem description
https://github.com/pandas-dev/pandas/blob/master/doc/source/getting_started/basics.rst#general-dataframe-combine
```python
def combiner(x, y):
np.where(pd.isna(x), y, x)
df1.combine(df2, combiner)
```
the code above should be:
```python
def combiner(x, y):
return np.where(pd.isna(x), y, x)
df1.combine(df2, combiner)
```
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25359/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25359/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25360 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25360/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25360/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25360/events | https://github.com/pandas-dev/pandas/pull/25360 | 411,404,955 | MDExOlB1bGxSZXF1ZXN0MjUzODYwNjA4 | 25,360 | DOC: Correct doc mistake in combiner func | {
"avatar_url": "https://avatars.githubusercontent.com/u/9273653?v=4",
"events_url": "https://api.github.com/users/gfyoung/events{/privacy}",
"followers_url": "https://api.github.com/users/gfyoung/followers",
"following_url": "https://api.github.com/users/gfyoung/following{/other_user}",
"gists_url": "https://api.github.com/users/gfyoung/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/gfyoung",
"id": 9273653,
"login": "gfyoung",
"node_id": "MDQ6VXNlcjkyNzM2NTM=",
"organizations_url": "https://api.github.com/users/gfyoung/orgs",
"received_events_url": "https://api.github.com/users/gfyoung/received_events",
"repos_url": "https://api.github.com/users/gfyoung/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/gfyoung/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gfyoung/subscriptions",
"type": "User",
"url": "https://api.github.com/users/gfyoung"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 3 | 2019-02-18T10:27:49Z | 2019-02-18T19:00:44Z | 2019-02-18T13:29:56Z | MEMBER | null | Closes #25359.
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25360/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25360/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25360.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25360",
"merged_at": "2019-02-18T13:29:56Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25360.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25360"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25361 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25361/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25361/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25361/events | https://github.com/pandas-dev/pandas/pull/25361 | 411,476,544 | MDExOlB1bGxSZXF1ZXN0MjUzOTE2MTQy | 25,361 | Backport PR #25360 on branch 0.24.x (DOC: Correct doc mistake in combiner func) | {
"avatar_url": "https://avatars.githubusercontent.com/u/39504233?v=4",
"events_url": "https://api.github.com/users/meeseeksmachine/events{/privacy}",
"followers_url": "https://api.github.com/users/meeseeksmachine/followers",
"following_url": "https://api.github.com/users/meeseeksmachine/following{/other_user}",
"gists_url": "https://api.github.com/users/meeseeksmachine/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/meeseeksmachine",
"id": 39504233,
"login": "meeseeksmachine",
"node_id": "MDQ6VXNlcjM5NTA0MjMz",
"organizations_url": "https://api.github.com/users/meeseeksmachine/orgs",
"received_events_url": "https://api.github.com/users/meeseeksmachine/received_events",
"repos_url": "https://api.github.com/users/meeseeksmachine/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/meeseeksmachine/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/meeseeksmachine/subscriptions",
"type": "User",
"url": "https://api.github.com/users/meeseeksmachine"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 0 | 2019-02-18T13:30:26Z | 2019-02-18T18:38:29Z | 2019-02-18T13:34:29Z | NONE | null | Backport PR #25360: DOC: Correct doc mistake in combiner func | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25361/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25361/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25361.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25361",
"merged_at": "2019-02-18T13:34:29Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25361.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25361"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25362 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25362/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25362/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25362/events | https://github.com/pandas-dev/pandas/pull/25362 | 411,498,159 | MDExOlB1bGxSZXF1ZXN0MjUzOTMyOTcz | 25,362 | DOC: Fixing SS02 errors as per #25113 | {
"avatar_url": "https://avatars.githubusercontent.com/u/24843773?v=4",
"events_url": "https://api.github.com/users/souvik3333/events{/privacy}",
"followers_url": "https://api.github.com/users/souvik3333/followers",
"following_url": "https://api.github.com/users/souvik3333/following{/other_user}",
"gists_url": "https://api.github.com/users/souvik3333/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/souvik3333",
"id": 24843773,
"login": "souvik3333",
"node_id": "MDQ6VXNlcjI0ODQzNzcz",
"organizations_url": "https://api.github.com/users/souvik3333/orgs",
"received_events_url": "https://api.github.com/users/souvik3333/received_events",
"repos_url": "https://api.github.com/users/souvik3333/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/souvik3333/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/souvik3333/subscriptions",
"type": "User",
"url": "https://api.github.com/users/souvik3333"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
},
{
"color": "a2bca7",
"default": false,
"description": "Continuous Integratio... | closed | false | null | [] | null | 20 | 2019-02-18T14:20:49Z | 2019-03-19T04:17:10Z | 2019-03-19T04:17:10Z | CONTRIBUTOR | null | Some of the SS02 error mentioned are not because of methods but of docstring.
For example, in the first SS02 error pandas/tseries/offsets.py has no method named normalize.
- [X] Closes #25113
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25362/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25362/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25362.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25362",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25362.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25362"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25363 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25363/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25363/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25363/events | https://github.com/pandas-dev/pandas/pull/25363 | 411,525,152 | MDExOlB1bGxSZXF1ZXN0MjUzOTUzMDE2 | 25,363 | Backport PR #25352: TST: xfail excel styler tests, xref GH25351 | {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisvandenbossche/followers",
"following_url": "https://api.github.com/users/jorisvandenbossche/following{/other_user}",
"gists_url": "https://api.github.com/users/jorisvandenbossche/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jorisvandenbossche",
"id": 1020496,
"login": "jorisvandenbossche",
"node_id": "MDQ6VXNlcjEwMjA0OTY=",
"organizations_url": "https://api.github.com/users/jorisvandenbossche/orgs",
"received_events_url": "https://api.github.com/users/jorisvandenbossche/received_events",
"repos_url": "https://api.github.com/users/jorisvandenbossche/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jorisvandenbossche/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jorisvandenbossche"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
},
{
"color": "bfe5bf",
"d... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 4 | 2019-02-18T15:17:54Z | 2019-02-19T08:44:49Z | 2019-02-19T08:44:04Z | MEMBER | null | Backports https://github.com/pandas-dev/pandas/pull/25352, as the excel tests are also failing on 0.24.x (cc @jreback ) | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25363/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25363/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25363.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25363",
"merged_at": "2019-02-19T08:44:04Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25363.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25363"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25364 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25364/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25364/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25364/events | https://github.com/pandas-dev/pandas/issues/25364 | 411,705,652 | MDU6SXNzdWU0MTE3MDU2NTI= | 25,364 | Pandas Series Construction Extremely Slow for Array of Large Series | {
"avatar_url": "https://avatars.githubusercontent.com/u/12438007?v=4",
"events_url": "https://api.github.com/users/ChoiwahChow/events{/privacy}",
"followers_url": "https://api.github.com/users/ChoiwahChow/followers",
"following_url": "https://api.github.com/users/ChoiwahChow/following{/other_user}",
"gists_url": "https://api.github.com/users/ChoiwahChow/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ChoiwahChow",
"id": 12438007,
"login": "ChoiwahChow",
"node_id": "MDQ6VXNlcjEyNDM4MDA3",
"organizations_url": "https://api.github.com/users/ChoiwahChow/orgs",
"received_events_url": "https://api.github.com/users/ChoiwahChow/received_events",
"repos_url": "https://api.github.com/users/ChoiwahChow/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ChoiwahChow/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ChoiwahChow/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ChoiwahChow"
} | [
{
"color": "a10c02",
"default": false,
"description": "Memory or execution speed performance",
"id": 8935311,
"name": "Performance",
"node_id": "MDU6TGFiZWw4OTM1MzEx",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Performance"
},
{
"color": "f2f989",
"default"... | open | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 19 | 2019-02-19T01:32:02Z | 2020-10-16T14:09:34Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possible that your issue has been posted before. Please check first before submitting so that we do not have to handle and close duplicates!
**Note**: Many problems can be resolved by simply upgrading `pandas` to the latest version. Before submitting, please check if that solution works for you. If possible, you may want to check if `master` addresses this issue, but that is not necessary.
For documentation-related issues, you can check the latest versions of the docs on `master` here:
https://pandas-docs.github.io/pandas-docs-travis/
If the issue has not been resolved there, go ahead and file it in the issue tracker.
#### Expected Output
#### Output of ``pd.show_versions()``
<details>
[paste the output of ``pd.show_versions()`` here below this line]
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25364/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25364/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25365 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25365/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25365/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25365/events | https://github.com/pandas-dev/pandas/pull/25365 | 411,756,276 | MDExOlB1bGxSZXF1ZXN0MjU0MTIzMzkw | 25,365 | DOC: modify typos in Contributing section | {
"avatar_url": "https://avatars.githubusercontent.com/u/11581926?v=4",
"events_url": "https://api.github.com/users/alyssafuward/events{/privacy}",
"followers_url": "https://api.github.com/users/alyssafuward/followers",
"following_url": "https://api.github.com/users/alyssafuward/following{/other_user}",
"gists_url": "https://api.github.com/users/alyssafuward/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/alyssafuward",
"id": 11581926,
"login": "alyssafuward",
"node_id": "MDQ6VXNlcjExNTgxOTI2",
"organizations_url": "https://api.github.com/users/alyssafuward/orgs",
"received_events_url": "https://api.github.com/users/alyssafuward/received_events",
"repos_url": "https://api.github.com/users/alyssafuward/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/alyssafuward/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/alyssafuward/subscriptions",
"type": "User",
"url": "https://api.github.com/users/alyssafuward"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
}
] | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 3 | 2019-02-19T05:48:42Z | 2019-02-20T08:01:39Z | 2019-02-19T08:45:51Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I participated in an open source sprint day today. This is my first attempt to request a PR to contribute to open source. I made changes to fix a few minor typos. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 1,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25365/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25365/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25365.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25365",
"merged_at": "2019-02-19T08:45:51Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25365.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25365"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25366 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25366/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25366/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25366/events | https://github.com/pandas-dev/pandas/pull/25366 | 411,766,385 | MDExOlB1bGxSZXF1ZXN0MjU0MTMxMDYz | 25,366 | #23049: test for Fatal Stack Overflow stemming From Misuse of astype(… | {
"avatar_url": "https://avatars.githubusercontent.com/u/2520893?v=4",
"events_url": "https://api.github.com/users/TrigonaMinima/events{/privacy}",
"followers_url": "https://api.github.com/users/TrigonaMinima/followers",
"following_url": "https://api.github.com/users/TrigonaMinima/following{/other_user}",
"gists_url": "https://api.github.com/users/TrigonaMinima/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TrigonaMinima",
"id": 2520893,
"login": "TrigonaMinima",
"node_id": "MDQ6VXNlcjI1MjA4OTM=",
"organizations_url": "https://api.github.com/users/TrigonaMinima/orgs",
"received_events_url": "https://api.github.com/users/TrigonaMinima/received_events",
"repos_url": "https://api.github.com/users/TrigonaMinima/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TrigonaMinima/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TrigonaMinima/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TrigonaMinima"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
},
{
"color": "e11d21",
"d... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 3 | 2019-02-19T06:31:01Z | 2019-02-19T18:55:22Z | 2019-02-19T13:14:25Z | CONTRIBUTOR | null | …'category')
- [x] closes #23049
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The referenced issue seems to be solved in the current master. So added a test for the edge case.
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25366/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25366/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25366.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25366",
"merged_at": "2019-02-19T13:14:25Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25366.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25366"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25367 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25367/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25367/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25367/events | https://github.com/pandas-dev/pandas/issues/25367 | 411,767,807 | MDU6SXNzdWU0MTE3Njc4MDc= | 25,367 | DatetimeIndex.to_frame('ds') doesn't change column name to 'ds' | {
"avatar_url": "https://avatars.githubusercontent.com/u/3938751?v=4",
"events_url": "https://api.github.com/users/eromoe/events{/privacy}",
"followers_url": "https://api.github.com/users/eromoe/followers",
"following_url": "https://api.github.com/users/eromoe/following{/other_user}",
"gists_url": "https://api.github.com/users/eromoe/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/eromoe",
"id": 3938751,
"login": "eromoe",
"node_id": "MDQ6VXNlcjM5Mzg3NTE=",
"organizations_url": "https://api.github.com/users/eromoe/orgs",
"received_events_url": "https://api.github.com/users/eromoe/received_events",
"repos_url": "https://api.github.com/users/eromoe/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/eromoe/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/eromoe/subscriptions",
"type": "User",
"url": "https://api.github.com/users/eromoe"
} | [
{
"color": "0052cc",
"default": false,
"description": null,
"id": 34444536,
"name": "Usage Question",
"node_id": "MDU6TGFiZWwzNDQ0NDUzNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Usage%20Question"
}
] | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 2361,
"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisvandenbossche/followers",
"following_url": "https://api.github.com/users/jorisvandenbossche/following{/other_user}",
"gists_url": "https://api.github.com/users/jorisvandenbossche/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jorisvandenbossche",
"id": 1020496,
"login": "jorisvandenbossche",
"node_id": "MDQ6VXNlcjEwMjA0OTY=",
"organizations_url": "https://api.github.com/users/jorisvandenbossche/orgs",
"received_events_url": "https://api.github.com/users/jorisvandenbossche/received_events",
"repos_url": "https://api.github.com/users/jorisvandenbossche/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jorisvandenbossche/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jorisvandenbossche"
},
"description": "A milestone for closed or open issues for which there is no action needed (eg not a bug, just a question / discussion, nothing to resolve, wontfix, etc).\r\n\r\n",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/33",
"id": 997544,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33/labels",
"node_id": "MDk6TWlsZXN0b25lOTk3NTQ0",
"number": 33,
"open_issues": 11,
"state": "open",
"title": "No action",
"updated_at": "2021-11-19T17:33:16Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33"
} | 1 | 2019-02-19T06:36:37Z | 2019-02-19T06:59:20Z | 2019-02-19T06:59:04Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from datetime import datetime, timedelta
import pandas as pd
periods = 7
today = datetime.now()
future_ds = pd.date_range(today.strftime('%Y-%m-%d'), (today + timedelta(days=periods)).strftime('%Y-%m-%d') )
future_ds.to_frame('ds')
```
#### Problem
`.to_frame('ds')` on DatetimeIndex didn't work.
Have to convert to series at first `future_ds.to_series().to_frame('ds')`
#### Output
```
In [12]: future_ds.to_frame('ds')
Out[12]:
0
2019-02-19 2019-02-19
2019-02-20 2019-02-20
2019-02-21 2019-02-21
2019-02-22 2019-02-22
2019-02-23 2019-02-23
2019-02-24 2019-02-24
2019-02-25 2019-02-25
2019-02-26 2019-02-26
```
#### Expected Output
```
In [12]: future_ds.to_frame('ds')
Out[12]:
ds
2019-02-19 2019-02-19
2019-02-20 2019-02-20
2019-02-21 2019-02-21
2019-02-22 2019-02-22
2019-02-23 2019-02-23
2019-02-24 2019-02-24
2019-02-25 2019-02-25
2019-02-26 2019-02-26
```
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 45 Stepping 7, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.23.4
pytest: 3.5.1
pip: 19.0.1
setuptools: 39.1.0
Cython: 0.28.2
numpy: 1.14.3
scipy: 1.1.0
pyarrow: 0.12.0
xarray: None
IPython: 7.2.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.6.1
pytz: 2018.4
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.5
feather: None
matplotlib: 3.0.1
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.4
lxml: 4.2.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.7
pymysql: None
psycopg2: 2.7.6.1 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: 0.1.6
fastparquet: None
pandas_gbq: None
pandas_datareader: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25367/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25367/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25368 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25368/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25368/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25368/events | https://github.com/pandas-dev/pandas/pull/25368 | 411,794,625 | MDExOlB1bGxSZXF1ZXN0MjU0MTUyMzg0 | 25,368 | BUG: Fix potential segfault after pd.Categorical(pd.Series(...), categories=...) | {
"avatar_url": "https://avatars.githubusercontent.com/u/18488?v=4",
"events_url": "https://api.github.com/users/batterseapower/events{/privacy}",
"followers_url": "https://api.github.com/users/batterseapower/followers",
"following_url": "https://api.github.com/users/batterseapower/following{/other_user}",
"gists_url": "https://api.github.com/users/batterseapower/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/batterseapower",
"id": 18488,
"login": "batterseapower",
"node_id": "MDQ6VXNlcjE4NDg4",
"organizations_url": "https://api.github.com/users/batterseapower/orgs",
"received_events_url": "https://api.github.com/users/batterseapower/received_events",
"repos_url": "https://api.github.com/users/batterseapower/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/batterseapower/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/batterseapower/subscriptions",
"type": "User",
"url": "https://api.github.com/users/batterseapower"
} | [
{
"color": "e11d21",
"default": false,
"description": "Functionality that used to work in a prior pandas version",
"id": 32815646,
"name": "Regression",
"node_id": "MDU6TGFiZWwzMjgxNTY0Ng==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Regression"
},
{
"color": ... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 13 | 2019-02-19T08:07:48Z | 2019-03-03T02:36:37Z | 2019-03-03T02:36:37Z | CONTRIBUTOR | null | Closes #25318
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25368/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25368/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25368.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25368",
"merged_at": "2019-03-03T02:36:37Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25368.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25368"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25369 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25369/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25369/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25369/events | https://github.com/pandas-dev/pandas/issues/25369 | 411,826,895 | MDU6SXNzdWU0MTE4MjY4OTU= | 25,369 | Extension dtypes do not work with dataframe query method | {
"avatar_url": "https://avatars.githubusercontent.com/u/616099?v=4",
"events_url": "https://api.github.com/users/techvslife/events{/privacy}",
"followers_url": "https://api.github.com/users/techvslife/followers",
"following_url": "https://api.github.com/users/techvslife/following{/other_user}",
"gists_url": "https://api.github.com/users/techvslife/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/techvslife",
"id": 616099,
"login": "techvslife",
"node_id": "MDQ6VXNlcjYxNjA5OQ==",
"organizations_url": "https://api.github.com/users/techvslife/orgs",
"received_events_url": "https://api.github.com/users/techvslife/received_events",
"repos_url": "https://api.github.com/users/techvslife/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/techvslife/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/techvslife/subscriptions",
"type": "User",
"url": "https://api.github.com/users/techvslife"
} | [
{
"color": "4E9A06",
"default": false,
"description": null,
"id": 76812,
"name": "Enhancement",
"node_id": "MDU6TGFiZWw3NjgxMg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Enhancement"
},
{
"color": "ffa0ff",
"default": false,
"description": "Incorrec... | open | false | null | [] | null | 8 | 2019-02-19T09:31:44Z | 2020-04-26T21:10:26Z | null | NONE | null | In the latest pandas version (0.24.1), extension dtypes do not work with numexpr (e.g. the “query” method on dataframes fails when the engine parameter is set to the default ):
https://stackoverflow.com/questions/54759936/extension-dtypes-in-pandas-appear-to-have-a-bug-with-query
Code to reproduce:
df_test = pd.DataFrame(data=[4,5,6], columns=["col_test"])
df_test = df_test.astype(dtype={"col_test": pd.Int32Dtype()})
df_test.query("col_test != 6")
Last lines of the long error message are:
File "...\site_packages\numexpr\necompiler.py", line 822, in evaluate zip(names, arguments)] File "...\site_packages\numexpr\necompiler.py", line 821, in signature = [(name, getType(arg)) for (name, arg) in File "...\site_packages\numexpr\necompiler.py", line 703, in getType raise ValueError("unknown type %s" % a.dtype.name) ValueError: unknown type object | {
"+1": 7,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 7,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25369/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25369/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25370 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25370/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25370/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25370/events | https://github.com/pandas-dev/pandas/issues/25370 | 411,881,885 | MDU6SXNzdWU0MTE4ODE4ODU= | 25,370 | Spurious MultiIndex creation in `NDFrame._set_axis_names` | {
"avatar_url": "https://avatars.githubusercontent.com/u/10732128?v=4",
"events_url": "https://api.github.com/users/devin-petersohn/events{/privacy}",
"followers_url": "https://api.github.com/users/devin-petersohn/followers",
"following_url": "https://api.github.com/users/devin-petersohn/following{/other_user}",
"gists_url": "https://api.github.com/users/devin-petersohn/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/devin-petersohn",
"id": 10732128,
"login": "devin-petersohn",
"node_id": "MDQ6VXNlcjEwNzMyMTI4",
"organizations_url": "https://api.github.com/users/devin-petersohn/orgs",
"received_events_url": "https://api.github.com/users/devin-petersohn/received_events",
"repos_url": "https://api.github.com/users/devin-petersohn/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/devin-petersohn/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/devin-petersohn/subscriptions",
"type": "User",
"url": "https://api.github.com/users/devin-petersohn"
} | [] | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 0 | 2019-02-19T11:41:43Z | 2019-02-19T13:12:35Z | 2019-02-19T13:12:35Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
# Code in master
pd.MultiIndex.from_product([["mammal"], ['dog', 'cat', 'monkey']])
```
#### Problem description
A spurious MultiIndex is being created in `_set_axis_names`.
[Link to blame](https://github.com/pandas-dev/pandas/blame/master/pandas/core/generic.py#L1336)
#### Expected Output
N/A
#### Output of ``pd.show_versions()``
N/A
<details>
[paste the output of ``pd.show_versions()`` here below this line]
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25370/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25370/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25371 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25371/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25371/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25371/events | https://github.com/pandas-dev/pandas/pull/25371 | 411,883,390 | MDExOlB1bGxSZXF1ZXN0MjU0MjIxNDk5 | 25,371 | Remove spurious MultiIndex creation in `_set_axis_name` | {
"avatar_url": "https://avatars.githubusercontent.com/u/10732128?v=4",
"events_url": "https://api.github.com/users/devin-petersohn/events{/privacy}",
"followers_url": "https://api.github.com/users/devin-petersohn/followers",
"following_url": "https://api.github.com/users/devin-petersohn/following{/other_user}",
"gists_url": "https://api.github.com/users/devin-petersohn/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/devin-petersohn",
"id": 10732128,
"login": "devin-petersohn",
"node_id": "MDQ6VXNlcjEwNzMyMTI4",
"organizations_url": "https://api.github.com/users/devin-petersohn/orgs",
"received_events_url": "https://api.github.com/users/devin-petersohn/received_events",
"repos_url": "https://api.github.com/users/devin-petersohn/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/devin-petersohn/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/devin-petersohn/subscriptions",
"type": "User",
"url": "https://api.github.com/users/devin-petersohn"
} | [
{
"color": "207de5",
"default": false,
"description": null,
"id": 211029535,
"name": "Clean",
"node_id": "MDU6TGFiZWwyMTEwMjk1MzU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Clean"
}
] | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 3 | 2019-02-19T11:45:56Z | 2019-02-19T13:12:41Z | 2019-02-19T13:12:35Z | CONTRIBUTOR | null | * Resovles #25370
* Introduced by #22969
- [x] closes #25370
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ N/A ] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25371/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25371/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25371.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25371",
"merged_at": "2019-02-19T13:12:35Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25371.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25371"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25372 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25372/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25372/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25372/events | https://github.com/pandas-dev/pandas/pull/25372 | 411,917,097 | MDExOlB1bGxSZXF1ZXN0MjU0MjQ3NDc0 | 25,372 | Backport PR #25371 on branch 0.24.x (Remove spurious MultiIndex creation in `_set_axis_name`) | {
"avatar_url": "https://avatars.githubusercontent.com/u/39504233?v=4",
"events_url": "https://api.github.com/users/meeseeksmachine/events{/privacy}",
"followers_url": "https://api.github.com/users/meeseeksmachine/followers",
"following_url": "https://api.github.com/users/meeseeksmachine/following{/other_user}",
"gists_url": "https://api.github.com/users/meeseeksmachine/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/meeseeksmachine",
"id": 39504233,
"login": "meeseeksmachine",
"node_id": "MDQ6VXNlcjM5NTA0MjMz",
"organizations_url": "https://api.github.com/users/meeseeksmachine/orgs",
"received_events_url": "https://api.github.com/users/meeseeksmachine/received_events",
"repos_url": "https://api.github.com/users/meeseeksmachine/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/meeseeksmachine/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/meeseeksmachine/subscriptions",
"type": "User",
"url": "https://api.github.com/users/meeseeksmachine"
} | [
{
"color": "207de5",
"default": false,
"description": null,
"id": 211029535,
"name": "Clean",
"node_id": "MDU6TGFiZWwyMTEwMjk1MzU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Clean"
}
] | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 2 | 2019-02-19T13:13:05Z | 2019-02-19T13:52:13Z | 2019-02-19T13:52:12Z | NONE | null | Backport PR #25371: Remove spurious MultiIndex creation in `_set_axis_name` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25372/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25372/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25372.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25372",
"merged_at": "2019-02-19T13:52:12Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25372.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25372"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25373 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25373/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25373/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25373/events | https://github.com/pandas-dev/pandas/issues/25373 | 412,028,193 | MDU6SXNzdWU0MTIwMjgxOTM= | 25,373 | pip doen't install numpy as prerequist | {
"avatar_url": "https://avatars.githubusercontent.com/u/1915939?v=4",
"events_url": "https://api.github.com/users/Dremor/events{/privacy}",
"followers_url": "https://api.github.com/users/Dremor/followers",
"following_url": "https://api.github.com/users/Dremor/following{/other_user}",
"gists_url": "https://api.github.com/users/Dremor/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Dremor",
"id": 1915939,
"login": "Dremor",
"node_id": "MDQ6VXNlcjE5MTU5Mzk=",
"organizations_url": "https://api.github.com/users/Dremor/orgs",
"received_events_url": "https://api.github.com/users/Dremor/received_events",
"repos_url": "https://api.github.com/users/Dremor/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Dremor/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Dremor/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Dremor"
} | [
{
"color": "009800",
"default": false,
"description": "Duplicate issue or pull request",
"id": 40153326,
"name": "Duplicate Report",
"node_id": "MDU6TGFiZWw0MDE1MzMyNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Duplicate%20Report"
}
] | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 2361,
"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisvandenbossche/followers",
"following_url": "https://api.github.com/users/jorisvandenbossche/following{/other_user}",
"gists_url": "https://api.github.com/users/jorisvandenbossche/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jorisvandenbossche",
"id": 1020496,
"login": "jorisvandenbossche",
"node_id": "MDQ6VXNlcjEwMjA0OTY=",
"organizations_url": "https://api.github.com/users/jorisvandenbossche/orgs",
"received_events_url": "https://api.github.com/users/jorisvandenbossche/received_events",
"repos_url": "https://api.github.com/users/jorisvandenbossche/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jorisvandenbossche/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jorisvandenbossche"
},
"description": "A milestone for closed or open issues for which there is no action needed (eg not a bug, just a question / discussion, nothing to resolve, wontfix, etc).\r\n\r\n",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/33",
"id": 997544,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33/labels",
"node_id": "MDk6TWlsZXN0b25lOTk3NTQ0",
"number": 33,
"open_issues": 11,
"state": "open",
"title": "No action",
"updated_at": "2021-11-19T17:33:16Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33"
} | 4 | 2019-02-19T17:01:18Z | 2019-02-19T17:28:12Z | 2019-02-19T17:28:02Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```bash
./env/bin/pip install --upgrade pandas
```
#### Problem description
Installing Pandas in a Python2 VirtualEnv, install fails as Numpy cannot be locally found.
#### Expected Output
Pandas install in the VirtuaEnv
#### Output of ```./env/bin/pip install --upgrade pandas```
```bash
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting pandas
Using cached https://files.pythonhosted.org/packages/81/fdb1f17f7dc914047cd1df9d6813b944ee446973baafe8106e4458bfb68884/pandas-0.24.1.tar.gz
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/tmp/pip-install-WhPCxJ/pandas/setup.py", line 732, in <module>
ext_modules=maybe_cythonize(extensions, compiler_directives=directives),
File "/tmp/pip-install-WhPCxJ/pandas/setup.py", line 475, in maybe_cythonize
numpy_incl = pkg_resources.resource_filename('numpy', 'core/include')
File "/erpnext/package/erpnext-py2/env/lib/python2.7/site-packages/pkg_resources/__init__.py", line 1144, in resource_filename
return get_provider(package_or_requirement).get_resource_filename(
File "/erpnext/package/erpnext-py2/env/lib/python2.7/site-packages/pkg_resources/__init__.py", line 361, in get_provider
__import__(moduleOrReq)
ImportError: No module named numpy
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-install-WhPCxJ/pandas/
```
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25373/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25373/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25374 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25374/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25374/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25374/events | https://github.com/pandas-dev/pandas/issues/25374 | 412,038,090 | MDU6SXNzdWU0MTIwMzgwOTA= | 25,374 | Missing license file on linux wheels | {
"avatar_url": "https://avatars.githubusercontent.com/u/1926457?v=4",
"events_url": "https://api.github.com/users/rahulporuri/events{/privacy}",
"followers_url": "https://api.github.com/users/rahulporuri/followers",
"following_url": "https://api.github.com/users/rahulporuri/following{/other_user}",
"gists_url": "https://api.github.com/users/rahulporuri/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/rahulporuri",
"id": 1926457,
"login": "rahulporuri",
"node_id": "MDQ6VXNlcjE5MjY0NTc=",
"organizations_url": "https://api.github.com/users/rahulporuri/orgs",
"received_events_url": "https://api.github.com/users/rahulporuri/received_events",
"repos_url": "https://api.github.com/users/rahulporuri/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/rahulporuri/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rahulporuri/subscriptions",
"type": "User",
"url": "https://api.github.com/users/rahulporuri"
} | [
{
"color": "75507B",
"default": false,
"description": "Library building on various platforms",
"id": 129350,
"name": "Build",
"node_id": "MDU6TGFiZWwxMjkzNTA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Build"
},
{
"color": "f9c1b1",
"default": false,
... | open | false | null | [] | null | 7 | 2019-02-19T17:23:58Z | 2020-04-19T21:40:26Z | null | NONE | null | #### Problem description
The manylinux1 wheels for cp36 pandas 0.24.1 don't have License files. See https://files.pythonhosted.org/packages/e6/de/a0d3defd8f338eaf53ef716e40ef6d6c277c35d50e09b586e170169cdf0d/pandas-0.24.1-cp36-cp36m-manylinux1_x86_64.whl for example. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25374/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25374/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25375 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25375/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25375/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25375/events | https://github.com/pandas-dev/pandas/issues/25375 | 412,045,794 | MDU6SXNzdWU0MTIwNDU3OTQ= | 25,375 | Strange behavior with median | {
"avatar_url": "https://avatars.githubusercontent.com/u/17484616?v=4",
"events_url": "https://api.github.com/users/WillKoehrsen/events{/privacy}",
"followers_url": "https://api.github.com/users/WillKoehrsen/followers",
"following_url": "https://api.github.com/users/WillKoehrsen/following{/other_user}",
"gists_url": "https://api.github.com/users/WillKoehrsen/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/WillKoehrsen",
"id": 17484616,
"login": "WillKoehrsen",
"node_id": "MDQ6VXNlcjE3NDg0NjE2",
"organizations_url": "https://api.github.com/users/WillKoehrsen/orgs",
"received_events_url": "https://api.github.com/users/WillKoehrsen/received_events",
"repos_url": "https://api.github.com/users/WillKoehrsen/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/WillKoehrsen/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/WillKoehrsen/subscriptions",
"type": "User",
"url": "https://api.github.com/users/WillKoehrsen"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "006b75",
"default": false,
"description": "Arithmetic, Comparison, ... | closed | false | null | [] | null | 5 | 2019-02-19T17:42:43Z | 2020-09-11T18:22:28Z | 2020-09-11T18:22:27Z | NONE | null | Consider the following dataframe:
```
b c d e f g h
0 6.25 2018-04-01 True NaN 7 54.0 64.0
1 32.50 2018-04-01 True NaN 7 54.0 64.0
2 16.75 2018-04-01 True NaN 7 54.0 64.0
3 29.25 2018-04-01 True NaN 7 54.0 64.0
4 21.75 2018-04-01 True NaN 7 54.0 64.0
5 21.75 2018-04-01 True True 7 54.0 64.0
6 7.75 2018-04-01 True True 7 54.0 64.0
7 23.25 2018-04-01 True True 7 54.0 64.0
8 12.25 2018-04-01 True True 7 54.0 64.0
9 30.50 2018-04-01 True NaN 7 54.0 64.0
```
(copy and paste and use `df = pd.read_clipboard()` to create the dataframe)
Finding the medians initially works with no problem:
```python
df.median()
b 21.75
d 1.00
e 1.00
f 7.00
g 54.00
h 64.00
dtype: float64
```
However, if a column is dropped and then the `median` is found, the median for column `e` disappears:
```python
new_df = df.drop(columns=['b'])
new_df.median()
d 1.0
f 7.0
g 54.0
h 64.0
dtype: float64
```
This behavior is a little unexpected and finding the median for column e by itself still works:
```python
new_df['e'].median()
1.0
```
Using `skipna=False` does not make a difference:
```python
new_df.median(skipna=False)
d 1.0
f 7.0
g 54.0
h 64.0
dtype: float64
```
(it does for the original dataframe):
```python
df.median(skipna=False)
b 21.75
d 1.00
e NaN
f 7.00
g 54.00
h 64.00
dtype: float64
```
The datatype of column `e` is `object` in both `df` and `new_df` and the only difference between the two dataframes is `new_df` does not have column `b`. Adding the column back into `new_df` does not resolve the issue. This only occurs when the first column `b` is dropped. It does not occur if column `e` is a float or integer datatype.
This behavior is present in both `pandas==0.22.0` and `pandas==0.24.1`
I also created a [Stack Overflow Question](https://stackoverflow.com/questions/54755354/strange-behavior-with-pandas-median) based on this issue. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 1,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25375/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25375/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25376 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25376/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25376/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25376/events | https://github.com/pandas-dev/pandas/issues/25376 | 412,071,060 | MDU6SXNzdWU0MTIwNzEwNjA= | 25,376 | Fix validation error type `PR02` and check in CI | {
"avatar_url": "https://avatars.githubusercontent.com/u/15032115?v=4",
"events_url": "https://api.github.com/users/MarckK/events{/privacy}",
"followers_url": "https://api.github.com/users/MarckK/followers",
"following_url": "https://api.github.com/users/MarckK/following{/other_user}",
"gists_url": "https://api.github.com/users/MarckK/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/MarckK",
"id": 15032115,
"login": "MarckK",
"node_id": "MDQ6VXNlcjE1MDMyMTE1",
"organizations_url": "https://api.github.com/users/MarckK/orgs",
"received_events_url": "https://api.github.com/users/MarckK/received_events",
"repos_url": "https://api.github.com/users/MarckK/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/MarckK/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/MarckK/subscriptions",
"type": "User",
"url": "https://api.github.com/users/MarckK"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
},
{
"color": "a2bca7",
"default": false,
"description": "Continuous Integratio... | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 9 | 2019-02-19T18:48:12Z | 2021-11-20T06:03:58Z | 2021-11-20T06:03:58Z | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `PR02` (Unknown parameters), fixing them in the code base enables the addition to the CI for automated testing in the future.
Please see [overview of the errors](https://gist.github.com/198cfa552c727d71bd7360fda66fdbb4).
Todo:
* [ ] get rid of the errors in the code base
* [ ] update the `code_check.sh` script to take into account the `PR02` type of errors | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25376/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25376/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25377 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25377/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25377/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25377/events | https://github.com/pandas-dev/pandas/pull/25377 | 412,129,199 | MDExOlB1bGxSZXF1ZXN0MjU0NDEyNzEx | 25,377 | CI: Add 'conda list' for azure/posix after activate 'pandas-dev' | {
"avatar_url": "https://avatars.githubusercontent.com/u/33685575?v=4",
"events_url": "https://api.github.com/users/h-vetinari/events{/privacy}",
"followers_url": "https://api.github.com/users/h-vetinari/followers",
"following_url": "https://api.github.com/users/h-vetinari/following{/other_user}",
"gists_url": "https://api.github.com/users/h-vetinari/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/h-vetinari",
"id": 33685575,
"login": "h-vetinari",
"node_id": "MDQ6VXNlcjMzNjg1NTc1",
"organizations_url": "https://api.github.com/users/h-vetinari/orgs",
"received_events_url": "https://api.github.com/users/h-vetinari/received_events",
"repos_url": "https://api.github.com/users/h-vetinari/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/h-vetinari/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/h-vetinari/subscriptions",
"type": "User",
"url": "https://api.github.com/users/h-vetinari"
} | [
{
"color": "75507B",
"default": false,
"description": "Library building on various platforms",
"id": 129350,
"name": "Build",
"node_id": "MDU6TGFiZWwxMjkzNTA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Build"
},
{
"color": "a2bca7",
"default": false,
... | closed | false | null | [] | null | 6 | 2019-02-19T21:19:37Z | 2019-02-24T10:21:00Z | 2019-02-24T10:20:29Z | CONTRIBUTOR | null | Running into debugging problems in #24984 because `conda list` is never called after installing the `pandas-dev` environment.
It seems that this is just missing in azure/posix (I reflected the comment in other locations not least to show where else this is already done). | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25377/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25377/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25377.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25377",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25377.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25377"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25378 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25378/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25378/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25378/events | https://github.com/pandas-dev/pandas/issues/25378 | 412,174,847 | MDU6SXNzdWU0MTIxNzQ4NDc= | 25,378 | BUG: SparseDataFrame indexing sometimes loses `fill_value` of empty columns in 0.24 | {
"avatar_url": "https://avatars.githubusercontent.com/u/8499679?v=4",
"events_url": "https://api.github.com/users/scottgigante/events{/privacy}",
"followers_url": "https://api.github.com/users/scottgigante/followers",
"following_url": "https://api.github.com/users/scottgigante/following{/other_user}",
"gists_url": "https://api.github.com/users/scottgigante/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/scottgigante",
"id": 8499679,
"login": "scottgigante",
"node_id": "MDQ6VXNlcjg0OTk2Nzk=",
"organizations_url": "https://api.github.com/users/scottgigante/orgs",
"received_events_url": "https://api.github.com/users/scottgigante/received_events",
"repos_url": "https://api.github.com/users/scottgigante/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/scottgigante/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/scottgigante/subscriptions",
"type": "User",
"url": "https://api.github.com/users/scottgigante"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "d7e102",
"default": false,
"description": "np.nan, pd.NaT, pd.NA, d... | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 4 | 2019-02-19T23:34:57Z | 2019-09-18T14:02:13Z | 2019-09-18T14:02:13Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
X = pd.SparseDataFrame([[0,1], [0,0]], default_fill_value=0.0)
## Good behaviour
X.loc[0].to_numpy()
# array([0., 1.])
X.loc[[0]].to_numpy()
# array([[0., 1.]])
X.iloc[0].to_numpy()
# array([0., 1.])
## Bad behaviour
X.iloc[[0]].to_numpy()
# array([[nan, 1]], dtype=object)
X.loc[[True, False]].to_numpy()
# array([[nan, 1]], dtype=object)
```
#### Problem description
Indexing a SparseDataFrame with `iloc` and more than a single row number should return the same result as indexing the same rows with `loc` and the corresponding indices. Instead, `iloc` drops column `fill_value` for any column with no non-zero entries.
#### Expected Output
All commands _should_ return `array([0., 1.])` (allowing for differences between 1- and 2-D output.) The last two (`iloc` with fancy indexing, and `loc` with boolean indexing) returns instead `array([nan, 1.])`.
#### Output of ``pd.show_versions()``
<details>
```
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.7.final.0
python-bits: 64
OS: Linux
OS-release: 4.4.0-17763-Microsoft
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: C.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.24.1
pytest: None
pip: 18.0
setuptools: 40.2.0
Cython: 0.29
numpy: 1.15.1
scipy: 1.2.0
pyarrow: None
xarray: None
IPython: 7.1.1
sphinx: 1.6.7
patsy: None
dateutil: 2.7.3
pytz: 2018.3
blosc: None
bottleneck: None
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 2.2.3
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
```
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25378/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25378/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25379 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25379/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25379/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25379/events | https://github.com/pandas-dev/pandas/issues/25379 | 412,206,967 | MDU6SXNzdWU0MTIyMDY5Njc= | 25,379 | Reading/writing of W3C-style embeded metadata in CSV, TSV files | {
"avatar_url": "https://avatars.githubusercontent.com/u/43126798?v=4",
"events_url": "https://api.github.com/users/nedclimaterisk/events{/privacy}",
"followers_url": "https://api.github.com/users/nedclimaterisk/followers",
"following_url": "https://api.github.com/users/nedclimaterisk/following{/other_user}",
"gists_url": "https://api.github.com/users/nedclimaterisk/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/nedclimaterisk",
"id": 43126798,
"login": "nedclimaterisk",
"node_id": "MDQ6VXNlcjQzMTI2Nzk4",
"organizations_url": "https://api.github.com/users/nedclimaterisk/orgs",
"received_events_url": "https://api.github.com/users/nedclimaterisk/received_events",
"repos_url": "https://api.github.com/users/nedclimaterisk/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/nedclimaterisk/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/nedclimaterisk/subscriptions",
"type": "User",
"url": "https://api.github.com/users/nedclimaterisk"
} | [
{
"color": "4E9A06",
"default": false,
"description": null,
"id": 76812,
"name": "Enhancement",
"node_id": "MDU6TGFiZWw3NjgxMg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Enhancement"
},
{
"color": "5319e7",
"default": false,
"description": "read_csv... | open | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 3 | 2019-02-20T01:53:19Z | 2019-12-15T23:39:20Z | null | NONE | null | Related to #2485
The [W3C Tabular Data Model recommendation](https://www.w3.org/TR/tabular-data-model/) that include arbitrary text data, as well as column-specific metadata, such as column data types.
It would be very nice if Pandas could read metadata like this. There is [a section with an example of CSV/TSV meader metadata](https://www.w3.org/TR/tabular-data-model/#embedded-metadata) that might make a good starting point. The full recommendation seems somewhat vague, but perhaps that means that Pandas could help to define some more specific standards.
Perhaps a YAML header behind `#` characters, where some known variable names (e.g. `datatype`) are captured for use in reading the rest of the file, where remaining unused YAML data is added to a `df.metadata` dictionary? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25379/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25379/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25380 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25380/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25380/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25380/events | https://github.com/pandas-dev/pandas/pull/25380 | 412,232,562 | MDExOlB1bGxSZXF1ZXN0MjU0NDkxMTA1 | 25,380 | Backport PR #25338 on branch 0.24.x (Interval dtype fix) | {
"avatar_url": "https://avatars.githubusercontent.com/u/39504233?v=4",
"events_url": "https://api.github.com/users/meeseeksmachine/events{/privacy}",
"followers_url": "https://api.github.com/users/meeseeksmachine/followers",
"following_url": "https://api.github.com/users/meeseeksmachine/following{/other_user}",
"gists_url": "https://api.github.com/users/meeseeksmachine/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/meeseeksmachine",
"id": 39504233,
"login": "meeseeksmachine",
"node_id": "MDQ6VXNlcjM5NTA0MjMz",
"organizations_url": "https://api.github.com/users/meeseeksmachine/orgs",
"received_events_url": "https://api.github.com/users/meeseeksmachine/received_events",
"repos_url": "https://api.github.com/users/meeseeksmachine/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/meeseeksmachine/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/meeseeksmachine/subscriptions",
"type": "User",
"url": "https://api.github.com/users/meeseeksmachine"
} | [
{
"color": "e102d8",
"default": false,
"description": "Unexpected or buggy dtype conversions",
"id": 31404521,
"name": "Dtype Conversions",
"node_id": "MDU6TGFiZWwzMTQwNDUyMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Dtype%20Conversions"
},
{
"color": "009... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 3 | 2019-02-20T03:51:44Z | 2019-02-20T08:05:50Z | 2019-02-20T08:05:50Z | NONE | null | Backport PR #25338: Interval dtype fix | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25380/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25380/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25380.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25380",
"merged_at": "2019-02-20T08:05:50Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25380.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25380"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25381 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25381/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25381/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25381/events | https://github.com/pandas-dev/pandas/pull/25381 | 412,264,279 | MDExOlB1bGxSZXF1ZXN0MjU0NTE0MjQ5 | 25,381 | DOC: edited whatsnew typo | {
"avatar_url": "https://avatars.githubusercontent.com/u/4477229?v=4",
"events_url": "https://api.github.com/users/saurav2608/events{/privacy}",
"followers_url": "https://api.github.com/users/saurav2608/followers",
"following_url": "https://api.github.com/users/saurav2608/following{/other_user}",
"gists_url": "https://api.github.com/users/saurav2608/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/saurav2608",
"id": 4477229,
"login": "saurav2608",
"node_id": "MDQ6VXNlcjQ0NzcyMjk=",
"organizations_url": "https://api.github.com/users/saurav2608/orgs",
"received_events_url": "https://api.github.com/users/saurav2608/received_events",
"repos_url": "https://api.github.com/users/saurav2608/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/saurav2608/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/saurav2608/subscriptions",
"type": "User",
"url": "https://api.github.com/users/saurav2608"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
}
] | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 3 | 2019-02-20T06:22:35Z | 2019-04-15T18:29:37Z | 2019-02-20T14:06:50Z | CONTRIBUTOR | null | xref: redoing the whatsnew entry for PR #25124. Typos were caought by @h-vetinari .
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25381/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25381/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25381.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25381",
"merged_at": "2019-02-20T14:06:50Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25381.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25381"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25382 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25382/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25382/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25382/events | https://github.com/pandas-dev/pandas/pull/25382 | 412,294,226 | MDExOlB1bGxSZXF1ZXN0MjU0NTM1OTgx | 25,382 | CLN: (re-)enable infer_dtype to catch complex | {
"avatar_url": "https://avatars.githubusercontent.com/u/33685575?v=4",
"events_url": "https://api.github.com/users/h-vetinari/events{/privacy}",
"followers_url": "https://api.github.com/users/h-vetinari/followers",
"following_url": "https://api.github.com/users/h-vetinari/following{/other_user}",
"gists_url": "https://api.github.com/users/h-vetinari/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/h-vetinari",
"id": 33685575,
"login": "h-vetinari",
"node_id": "MDQ6VXNlcjMzNjg1NTc1",
"organizations_url": "https://api.github.com/users/h-vetinari/orgs",
"received_events_url": "https://api.github.com/users/h-vetinari/received_events",
"repos_url": "https://api.github.com/users/h-vetinari/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/h-vetinari/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/h-vetinari/subscriptions",
"type": "User",
"url": "https://api.github.com/users/h-vetinari"
} | [
{
"color": "e102d8",
"default": false,
"description": "Unexpected or buggy dtype conversions",
"id": 31404521,
"name": "Dtype Conversions",
"node_id": "MDU6TGFiZWwzMTQwNDUyMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Dtype%20Conversions"
},
{
"color": "AD7... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 3 | 2019-02-20T08:05:21Z | 2019-02-22T07:00:33Z | 2019-02-21T13:53:43Z | CONTRIBUTOR | null | - [x] takes a small bite out of #23554
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
`complex` should already be inferred according to the docstring, but isn't. I'm hitting this while working on my PR for #23833 so splitting that off as a separate change.
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25382/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25382/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25382.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25382",
"merged_at": "2019-02-21T13:53:43Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25382.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25382"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25383 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25383/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25383/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25383/events | https://github.com/pandas-dev/pandas/issues/25383 | 412,327,833 | MDU6SXNzdWU0MTIzMjc4MzM= | 25,383 | Setting with enlargement on categorical data | {
"avatar_url": "https://avatars.githubusercontent.com/u/11853089?v=4",
"events_url": "https://api.github.com/users/0phoff/events{/privacy}",
"followers_url": "https://api.github.com/users/0phoff/followers",
"following_url": "https://api.github.com/users/0phoff/following{/other_user}",
"gists_url": "https://api.github.com/users/0phoff/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/0phoff",
"id": 11853089,
"login": "0phoff",
"node_id": "MDQ6VXNlcjExODUzMDg5",
"organizations_url": "https://api.github.com/users/0phoff/orgs",
"received_events_url": "https://api.github.com/users/0phoff/received_events",
"repos_url": "https://api.github.com/users/0phoff/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/0phoff/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/0phoff/subscriptions",
"type": "User",
"url": "https://api.github.com/users/0phoff"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "0b02e1",
"default": false,
"description": "Related to indexing on s... | open | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 3 | 2019-02-20T09:33:10Z | 2020-11-04T19:32:29Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame.from_dict({'reg': [0,1,2], 'cat':pd.Categorical(['a','b','b'], categories=['a','b','c','d'])})
print(df.dtypes) # reg is int64, cat is categorical
df.loc[3] = (3, 'c') # add row with categorical value that exist in categories
print(df.dtypes) # reg is int64, cat is **object**
```
#### Problem description
There is no warning whatsoever, but still the dtype changes. In this dummy example this means we lose all information about the fact that `'d'` is also a possible value. (So simply doing `astype('category')` wouldn't work here.)
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possible that your issue has been posted before. Please check first before submitting so that we do not have to handle and close duplicates!
> I couldn't seem to find an issue about this. However I did find a few related things like performing `concat` and `append` on categoricals also changes dtypes. I would love these functions to have a keyword to control that behaviour (eg. perform union of categories), but this is a different issue that has already been discussed... (just letting you know that there are people out there who would love this feature, instead of having to meddle with `pandas.api.types.union_categoricals`)
#### Expected Output
Keep the categorical dtype if the added value is in the list of categories, throw an error/warning otherwise.
If people don't care about the categorical, they can always call `.astype('object')` before adding the row?
I think this solution is also in the spirit of 'explicit is better than implicit`?
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Linux
OS-release: 4.15.0-33-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.24.0
pytest: 4.1.1
pip: 18.1
setuptools: 40.2.0
Cython: 0.29.2
numpy: 1.16.0
scipy: 1.1.0
pyarrow: 0.12.0
xarray: None
IPython: 6.5.0
sphinx: 1.7.9
patsy: None
dateutil: 2.7.5
pytz: 2018.9
blosc: None
bottleneck: None
tables: 3.4.4
numexpr: 2.6.9
feather: 0.4.0
matplotlib: 2.2.3
openpyxl: 2.5.12
xlrd: 1.2.0
xlwt: None
xlsxwriter: None
lxml.etree: 4.2.5
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25383/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25383/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25384 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25384/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25384/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25384/events | https://github.com/pandas-dev/pandas/issues/25384 | 412,349,532 | MDU6SXNzdWU0MTIzNDk1MzI= | 25,384 | test_pct_max_many_rows fails on intel 32bit with memory error | {
"avatar_url": "https://avatars.githubusercontent.com/u/1055830?v=4",
"events_url": "https://api.github.com/users/scarabeusiv/events{/privacy}",
"followers_url": "https://api.github.com/users/scarabeusiv/followers",
"following_url": "https://api.github.com/users/scarabeusiv/following{/other_user}",
"gists_url": "https://api.github.com/users/scarabeusiv/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/scarabeusiv",
"id": 1055830,
"login": "scarabeusiv",
"node_id": "MDQ6VXNlcjEwNTU4MzA=",
"organizations_url": "https://api.github.com/users/scarabeusiv/orgs",
"received_events_url": "https://api.github.com/users/scarabeusiv/received_events",
"repos_url": "https://api.github.com/users/scarabeusiv/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/scarabeusiv/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/scarabeusiv/subscriptions",
"type": "User",
"url": "https://api.github.com/users/scarabeusiv"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
},
{
"color": "207de5",
"d... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 8 | 2019-02-20T10:21:45Z | 2019-02-22T19:04:26Z | 2019-02-22T19:04:26Z | CONTRIBUTOR | null | Pytest output from the two failing tests:
```
[ 3680s] =================================== FAILURES ===================================
[ 3680s] _______________________ TestRank.test_pct_max_many_rows ________________________
[ 3680s]
[ 3680s] self = <pandas.tests.frame.test_rank.TestRank object at 0x54f6d7ec>
[ 3680s]
[ 3680s] @pytest.mark.single
[ 3680s] def test_pct_max_many_rows(self):
[ 3680s] # GH 18271
[ 3680s] df = DataFrame({'A': np.arange(2**24 + 1),
[ 3680s] 'B': np.arange(2**24 + 1, 0, -1)})
[ 3680s] > result = df.rank(pct=True).max()
[ 3680s]
[ 3680s] ../../BUILDROOT/python-pandas-0.24.1-13.1.i386/usr/lib/python2.7/site-packages/pandas/tests/frame/test_rank.py:317:
[ 3680s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[ 3680s] ../../BUILDROOT/python-pandas-0.24.1-13.1.i386/usr/lib/python2.7/site-packages/pandas/core/generic.py:8335: in rank
[ 3680s] return ranker(self)
[ 3680s] ../../BUILDROOT/python-pandas-0.24.1-13.1.i386/usr/lib/python2.7/site-packages/pandas/core/generic.py:8327: in ranker
[ 3680s] pct=pct)
[ 3680s] ../../BUILDROOT/python-pandas-0.24.1-13.1.i386/usr/lib/python2.7/site-packages/pandas/core/algorithms.py:861: in rank
[ 3680s] ascending=ascending, na_option=na_option, pct=pct)
[ 3680s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[ 3680s]
[ 3680s] > ranks = np.empty((n, k), dtype='f8')
[ 3680s] E MemoryError
[ 3680s]
[ 3680s] pandas/_libs/algos_rank_helper.pxi:806: MemoryError
[ 3680s] ____________________________ test_pct_max_many_rows ____________________________
[ 3680s]
[ 3680s] @pytest.mark.single
[ 3680s] def test_pct_max_many_rows():
[ 3680s] # GH 18271
[ 3680s] s = Series(np.arange(2**24 + 1))
[ 3680s] > result = s.rank(pct=True).max()
[ 3680s]
[ 3680s] ../../BUILDROOT/python-pandas-0.24.1-13.1.i386/usr/lib/python2.7/site-packages/pandas/tests/series/test_rank.py:505:
[ 3680s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[ 3680s] ../../BUILDROOT/python-pandas-0.24.1-13.1.i386/usr/lib/python2.7/site-packages/pandas/core/generic.py:8335: in rank
[ 3680s] return ranker(self)
[ 3680s] ../../BUILDROOT/python-pandas-0.24.1-13.1.i386/usr/lib/python2.7/site-packages/pandas/core/generic.py:8327: in ranker
[ 3680s] pct=pct)
[ 3680s] ../../BUILDROOT/python-pandas-0.24.1-13.1.i386/usr/lib/python2.7/site-packages/pandas/core/algorithms.py:857: in rank
[ 3680s] na_option=na_option, pct=pct)
[ 3680s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[ 3680s]
[ 3680s] > sorted_data = values.take(_as)
[ 3680s] E MemoryError
[ 3680s]
[ 3680s] pandas/_libs/algos_rank_helper.pxi:712: MemoryError
[ 3681s] =============================== warnings summary ===============================
```
Full build log:
[pandas.txt](https://github.com/pandas-dev/pandas/files/2884130/pandas.txt)
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25384/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25384/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25385 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25385/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25385/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25385/events | https://github.com/pandas-dev/pandas/pull/25385 | 412,363,595 | MDExOlB1bGxSZXF1ZXN0MjU0NTg4NDI4 | 25,385 | Backport PR #25329 on branch 0.24.x (REGR: fix TimedeltaIndex sum and datetime subtraction with NaT (#25282, #25317)) | {
"avatar_url": "https://avatars.githubusercontent.com/u/39504233?v=4",
"events_url": "https://api.github.com/users/meeseeksmachine/events{/privacy}",
"followers_url": "https://api.github.com/users/meeseeksmachine/followers",
"following_url": "https://api.github.com/users/meeseeksmachine/following{/other_user}",
"gists_url": "https://api.github.com/users/meeseeksmachine/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/meeseeksmachine",
"id": 39504233,
"login": "meeseeksmachine",
"node_id": "MDQ6VXNlcjM5NTA0MjMz",
"organizations_url": "https://api.github.com/users/meeseeksmachine/orgs",
"received_events_url": "https://api.github.com/users/meeseeksmachine/received_events",
"repos_url": "https://api.github.com/users/meeseeksmachine/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/meeseeksmachine/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/meeseeksmachine/subscriptions",
"type": "User",
"url": "https://api.github.com/users/meeseeksmachine"
} | [] | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 2 | 2019-02-20T10:53:05Z | 2019-02-20T12:01:53Z | 2019-02-20T12:01:52Z | NONE | null | Backport PR #25329: REGR: fix TimedeltaIndex sum and datetime subtraction with NaT (#25282, #25317) | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25385/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25385/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25385.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25385",
"merged_at": "2019-02-20T12:01:52Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25385.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25385"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25386 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25386/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25386/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25386/events | https://github.com/pandas-dev/pandas/issues/25386 | 412,412,454 | MDU6SXNzdWU0MTI0MTI0NTQ= | 25,386 | pytest fails for 0.23.4: `Shape of passed values is (2, 3), indices imply (2, 4)` in `TestDataFrameAnalytics.test_matmul` | {
"avatar_url": "https://avatars.githubusercontent.com/u/101639?v=4",
"events_url": "https://api.github.com/users/Twey/events{/privacy}",
"followers_url": "https://api.github.com/users/Twey/followers",
"following_url": "https://api.github.com/users/Twey/following{/other_user}",
"gists_url": "https://api.github.com/users/Twey/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Twey",
"id": 101639,
"login": "Twey",
"node_id": "MDQ6VXNlcjEwMTYzOQ==",
"organizations_url": "https://api.github.com/users/Twey/orgs",
"received_events_url": "https://api.github.com/users/Twey/received_events",
"repos_url": "https://api.github.com/users/Twey/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Twey/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Twey/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Twey"
} | [
{
"color": "207de5",
"default": false,
"description": "Clarification about behavior needed to assess issue",
"id": 307649777,
"name": "Needs Info",
"node_id": "MDU6TGFiZWwzMDc2NDk3Nzc=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Needs%20Info"
}
] | closed | false | null | [] | null | 2 | 2019-02-20T12:58:43Z | 2019-02-20T16:06:51Z | 2019-02-20T16:06:51Z | NONE | null | # Test output
```
=================================== FAILURES ===================================
______________________ TestDataFrameAnalytics.test_matmul ______________________
blocks = [array([[ 0.82824335, 0.9711043 , -0.43859174],
[ 0.48922558, 0.25556855, -2.00621065]])]
axes = [Index(['one', 'two'], dtype='object'), Index(['p', 'q', 'r', 's'], dtype='object')]
def create_block_manager_from_blocks(blocks, axes):
try:
if len(blocks) == 1 and not isinstance(blocks[0], Block):
# if blocks[0] is of length 0, return empty blocks
if not len(blocks[0]):
blocks = []
else:
# It's OK if a single block is passed as values, its placement
# is basically "all items", but if there're many, don't bother
# converting, it's an error anyway.
blocks = [make_block(values=blocks[0],
placement=slice(0, len(axes[0])))]
> mgr = BlockManager(blocks, axes)
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/core/internals.py:4859:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = BlockManager
Items: Index(['one', 'two'], dtype='object')
Axis 1: Index(['p', 'q', 'r', 's'], dtype='object')
FloatBlock: slice(0, 2, 1), 2 x 3, dtype: float64
blocks = [FloatBlock: slice(0, 2, 1), 2 x 3, dtype: float64]
axes = [Index(['one', 'two'], dtype='object'), Index(['p', 'q', 'r', 's'], dtype='object')]
do_integrity_check = True
def __init__(self, blocks, axes, do_integrity_check=True):
self.axes = [_ensure_index(ax) for ax in axes]
self.blocks = tuple(blocks)
for block in blocks:
if block.is_sparse:
if len(block.mgr_locs) != 1:
raise AssertionError("Sparse block refers to multiple "
"items")
else:
if self.ndim != block.ndim:
raise AssertionError(
'Number of Block dimensions ({block}) must equal '
'number of axes ({self})'.format(block=block.ndim,
self=self.ndim))
if do_integrity_check:
> self._verify_integrity()
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/core/internals.py:3282:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = BlockManager
Items: Index(['one', 'two'], dtype='object')
Axis 1: Index(['p', 'q', 'r', 's'], dtype='object')
FloatBlock: slice(0, 2, 1), 2 x 3, dtype: float64
def _verify_integrity(self):
mgr_shape = self.shape
tot_items = sum(len(x.mgr_locs) for x in self.blocks)
for block in self.blocks:
if block._verify_integrity and block.shape[1:] != mgr_shape[1:]:
> construction_error(tot_items, block.shape[1:], self.axes)
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/core/internals.py:3493:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tot_items = 2, block_shape = (3,)
axes = [Index(['one', 'two'], dtype='object'), Index(['p', 'q', 'r', 's'], dtype='object')]
e = None
def construction_error(tot_items, block_shape, axes, e=None):
""" raise a helpful message about our construction """
passed = tuple(map(int, [tot_items] + list(block_shape)))
implied = tuple(map(int, [len(ax) for ax in axes]))
if passed == implied and e is not None:
raise e
if block_shape[0] == 0:
raise ValueError("Empty data passed with indices specified.")
raise ValueError("Shape of passed values is {0}, indices imply {1}".format(
> passed, implied))
E ValueError: Shape of passed values is (2, 3), indices imply (2, 4)
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/core/internals.py:4843: ValueError
During handling of the above exception, another exception occurred:
self = <pandas.tests.frame.test_analytics.TestDataFrameAnalytics object at 0x7fff8822c978>
@pytest.mark.skipif(not PY35,
reason='matmul supported for Python>=3.5')
@pytest.mark.xfail(
_np_version_under1p12,
reason="unpredictable return types under numpy < 1.12")
def test_matmul(self):
# matmul test is for GH #10259
a = DataFrame(np.random.randn(3, 4), index=['a', 'b', 'c'],
columns=['p', 'q', 'r', 's'])
b = DataFrame(np.random.randn(4, 2), index=['p', 'q', 'r', 's'],
columns=['one', 'two'])
# DataFrame @ DataFrame
result = operator.matmul(a, b)
expected = DataFrame(np.dot(a.values, b.values),
index=['a', 'b', 'c'],
columns=['one', 'two'])
tm.assert_frame_equal(result, expected)
# DataFrame @ Series
result = operator.matmul(a, b.one)
expected = Series(np.dot(a.values, b.one.values),
index=['a', 'b', 'c'])
tm.assert_series_equal(result, expected)
# np.array @ DataFrame
> result = operator.matmul(a.values, b)
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/tests/frame/test_analytics.py:2294:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/core/generic.py:1610: in __array_wrap__
return self._constructor(result, **d).__finalize__(self)
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/core/frame.py:379: in __init__
copy=copy)
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/core/frame.py:536: in _init_ndarray
return create_block_manager_from_blocks([values], [columns, index])
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/core/internals.py:4866: in create_block_manager_from_blocks
construction_error(tot_items, blocks[0].shape[1:], axes, e)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tot_items = 2, block_shape = (3,)
axes = [Index(['one', 'two'], dtype='object'), Index(['p', 'q', 'r', 's'], dtype='object')]
e = ValueError('Shape of passed values is (2, 3), indices imply (2, 4)')
def construction_error(tot_items, block_shape, axes, e=None):
""" raise a helpful message about our construction """
passed = tuple(map(int, [tot_items] + list(block_shape)))
implied = tuple(map(int, [len(ax) for ax in axes]))
if passed == implied and e is not None:
raise e
if block_shape[0] == 0:
raise ValueError("Empty data passed with indices specified.")
raise ValueError("Shape of passed values is {0}, indices imply {1}".format(
> passed, implied))
E ValueError: Shape of passed values is (2, 3), indices imply (2, 4)
/nix/store/plkd9gch9jhcrchnmb27ncxk163hx0r6-python3.7-pandas-0.23.4/lib/python3.7/site-packages/pandas/core/internals.py:4843: ValueError
``` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25386/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25386/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25387 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25387/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25387/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25387/events | https://github.com/pandas-dev/pandas/issues/25387 | 412,429,374 | MDU6SXNzdWU0MTI0MjkzNzQ= | 25,387 | pandas.DataFrame.rolling¶ - Bad Documentation | {
"avatar_url": "https://avatars.githubusercontent.com/u/32899037?v=4",
"events_url": "https://api.github.com/users/PoeteMaudit/events{/privacy}",
"followers_url": "https://api.github.com/users/PoeteMaudit/followers",
"following_url": "https://api.github.com/users/PoeteMaudit/following{/other_user}",
"gists_url": "https://api.github.com/users/PoeteMaudit/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/PoeteMaudit",
"id": 32899037,
"login": "PoeteMaudit",
"node_id": "MDQ6VXNlcjMyODk5MDM3",
"organizations_url": "https://api.github.com/users/PoeteMaudit/orgs",
"received_events_url": "https://api.github.com/users/PoeteMaudit/received_events",
"repos_url": "https://api.github.com/users/PoeteMaudit/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/PoeteMaudit/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/PoeteMaudit/subscriptions",
"type": "User",
"url": "https://api.github.com/users/PoeteMaudit"
} | [
{
"color": "0052cc",
"default": false,
"description": null,
"id": 34444536,
"name": "Usage Question",
"node_id": "MDU6TGFiZWwzNDQ0NDUzNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Usage%20Question"
}
] | closed | false | null | [] | null | 1 | 2019-02-20T13:37:37Z | 2019-02-20T15:30:56Z | 2019-02-20T15:30:56Z | NONE | null | Many things are unclear at the docs of the pandas.DataFrame.rolling.
A couple of them are the following:
1)
What is an offset?
2)
What is the position of the current value at the window?
From what I see is that the current value (of your pandas series to be processed) is the last of the rolling window. (This is not clear at all)
If you set center as True then it becomes the center value.
If I am not very clear then apologies but I cannot explain things that should have been clear at the docs.
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25387/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25387/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25388 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25388/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25388/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25388/events | https://github.com/pandas-dev/pandas/pull/25388 | 412,450,421 | MDExOlB1bGxSZXF1ZXN0MjU0NjU1OTcw | 25,388 | DOC: Fix typo of see also in DataFrame stat funcs | {
"avatar_url": "https://avatars.githubusercontent.com/u/7662952?v=4",
"events_url": "https://api.github.com/users/knuu/events{/privacy}",
"followers_url": "https://api.github.com/users/knuu/followers",
"following_url": "https://api.github.com/users/knuu/following{/other_user}",
"gists_url": "https://api.github.com/users/knuu/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/knuu",
"id": 7662952,
"login": "knuu",
"node_id": "MDQ6VXNlcjc2NjI5NTI=",
"organizations_url": "https://api.github.com/users/knuu/orgs",
"received_events_url": "https://api.github.com/users/knuu/received_events",
"repos_url": "https://api.github.com/users/knuu/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/knuu/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/knuu/subscriptions",
"type": "User",
"url": "https://api.github.com/users/knuu"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
}
] | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 3 | 2019-02-20T14:21:15Z | 2019-02-20T15:51:04Z | 2019-02-20T15:50:59Z | CONTRIBUTOR | null | fix typo of DataFrame stat functions. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25388/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25388/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25388.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25388",
"merged_at": "2019-02-20T15:50:59Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25388.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25388"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25389 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25389/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25389/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25389/events | https://github.com/pandas-dev/pandas/issues/25389 | 412,524,642 | MDU6SXNzdWU0MTI1MjQ2NDI= | 25,389 | Putting an Arrow table into a Pandas series takes a long time | {
"avatar_url": "https://avatars.githubusercontent.com/u/306380?v=4",
"events_url": "https://api.github.com/users/mrocklin/events{/privacy}",
"followers_url": "https://api.github.com/users/mrocklin/followers",
"following_url": "https://api.github.com/users/mrocklin/following{/other_user}",
"gists_url": "https://api.github.com/users/mrocklin/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mrocklin",
"id": 306380,
"login": "mrocklin",
"node_id": "MDQ6VXNlcjMwNjM4MA==",
"organizations_url": "https://api.github.com/users/mrocklin/orgs",
"received_events_url": "https://api.github.com/users/mrocklin/received_events",
"repos_url": "https://api.github.com/users/mrocklin/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mrocklin/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mrocklin/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mrocklin"
} | [] | closed | false | null | [] | null | 4 | 2019-02-20T16:47:32Z | 2019-02-20T17:08:36Z | 2019-02-20T17:08:36Z | CONTRIBUTOR | null | It takes a surprisingly long time to put a list containing a PyArrow table object into an object-dtype Pandas series
```python
In [1]: import numpy as np, pandas as pd, pyarrow as pa
In [2]: df = pd.DataFrame({'x': np.arange(1000000)})
In [3]: %time t = pa.Table.from_pandas(df)
CPU times: user 5.36 ms, sys: 3.22 ms, total: 8.58 ms
Wall time: 7.47 ms
In [4]: %time s = pd.Series([t], dtype=object)
CPU times: user 2.7 s, sys: 114 ms, total: 2.82 s
Wall time: 2.81 s
```
Originally reported downstream in https://github.com/dask/distributed/issues/2521 by @randerzander | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25389/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25389/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25390 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25390/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25390/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25390/events | https://github.com/pandas-dev/pandas/issues/25390 | 412,575,243 | MDU6SXNzdWU0MTI1NzUyNDM= | 25,390 | Unintuitive behaviour of MonthBegin(n=0) | {
"avatar_url": "https://avatars.githubusercontent.com/u/2239771?v=4",
"events_url": "https://api.github.com/users/capelastegui/events{/privacy}",
"followers_url": "https://api.github.com/users/capelastegui/followers",
"following_url": "https://api.github.com/users/capelastegui/following{/other_user}",
"gists_url": "https://api.github.com/users/capelastegui/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/capelastegui",
"id": 2239771,
"login": "capelastegui",
"node_id": "MDQ6VXNlcjIyMzk3NzE=",
"organizations_url": "https://api.github.com/users/capelastegui/orgs",
"received_events_url": "https://api.github.com/users/capelastegui/received_events",
"repos_url": "https://api.github.com/users/capelastegui/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/capelastegui/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/capelastegui/subscriptions",
"type": "User",
"url": "https://api.github.com/users/capelastegui"
} | [
{
"color": "0052cc",
"default": false,
"description": null,
"id": 34444536,
"name": "Usage Question",
"node_id": "MDU6TGFiZWwzNDQ0NDUzNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Usage%20Question"
}
] | closed | false | null | [] | null | 2 | 2019-02-20T18:50:46Z | 2019-02-21T06:53:29Z | 2019-02-21T06:53:21Z | NONE | null | From the [Anchored Offset Semantics](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#anchored-offsets) section of the docs:
> For the case when n=0, the date is not moved if on an anchor point, otherwise it is rolled forward to the next anchor point.
```
In [218]: pd.Timestamp('2014-01-02') + MonthBegin(n=0)
Out[218]: Timestamp('2014-02-01 00:00:00')
In [219]: pd.Timestamp('2014-01-02') + MonthEnd(n=0)
Out[219]: Timestamp('2014-01-31 00:00:00')
In [220]: pd.Timestamp('2014-01-01') + MonthBegin(n=0)
Out[220]: Timestamp('2014-01-01 00:00:00')
In [221]: pd.Timestamp('2014-01-31') + MonthEnd(n=0)
Out[221]: Timestamp('2014-01-31 00:00:00')
```
I understand that this is the intended behaviour, but it's neither intuitive nor useful. If I want to use MonthBegin to find the start of the current month, I'm out of luck, as there is no configuration that will work consistently for all days of a month:
```
In: pd.Timestamp('2014-01-01') + MonthBegin(n=0)
Out: Timestamp('2014-01-01 00:00:00')
In: pd.Timestamp('2014-01-02') + MonthBegin(n=0)
Out: Timestamp('2014-02-01 00:00:00')
```
Could I suggest changing the behaviour of anchored offsets for MonthBegin and similar _Begin offsets? Change the rule to something like:
> For the case when n=0, the date is not moved if on an anchor point, otherwise it is either rolled forward to the next anchor point or backwards to the previous anchor point. By default, the next anchor point is used, but the following date offsets use the previous anchor point instead:
> - MonthBegin
> - BMonthBegin or BusinessMonthBegin
> - CBMonthBegin or CustomBusinessMonthBegin
> - SemiMonthBegin
> - QuarterBegin
> - BQuarterBegin
> - YearBegin
> - BYearBegin
This way, the output would end up as:
```
In: pd.Timestamp('2014-01-01') + MonthBegin(n=0)
Out: Timestamp('2014-01-01 00:00:00')
In: pd.Timestamp('2014-01-02') + MonthBegin(n=0)
Out: Timestamp('2014-01-01 00:00:00')
```
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25390/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25390/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25391 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25391/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25391/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25391/events | https://github.com/pandas-dev/pandas/issues/25391 | 412,619,277 | MDU6SXNzdWU0MTI2MTkyNzc= | 25,391 | to_sql(method='multi') returns COUNT field incorrect or syntax error | {
"avatar_url": "https://avatars.githubusercontent.com/u/5056464?v=4",
"events_url": "https://api.github.com/users/nickwan/events{/privacy}",
"followers_url": "https://api.github.com/users/nickwan/followers",
"following_url": "https://api.github.com/users/nickwan/following{/other_user}",
"gists_url": "https://api.github.com/users/nickwan/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/nickwan",
"id": 5056464,
"login": "nickwan",
"node_id": "MDQ6VXNlcjUwNTY0NjQ=",
"organizations_url": "https://api.github.com/users/nickwan/orgs",
"received_events_url": "https://api.github.com/users/nickwan/received_events",
"repos_url": "https://api.github.com/users/nickwan/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/nickwan/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/nickwan/subscriptions",
"type": "User",
"url": "https://api.github.com/users/nickwan"
} | [] | closed | false | null | [] | null | 2 | 2019-02-20T20:43:22Z | 2019-12-06T13:44:30Z | 2019-02-21T07:13:22Z | NONE | null | Using `to_sql(method=None)` works, but even with all of the speed ups wrt `fast_executemany` and `@event.listens_for(engine, 'before_cursor_execute')` I'm not discovering a speed up for writing up to my Azure DB. `to_sql(method='multi')` seemed promising, but this error pops up
```python
Error: ('07002', '[07002] [Microsoft][ODBC Driver 17 for SQL Server]COUNT field incorrect or syntax error (0) (SQLExecDirectW)')
```
Here's a notebook where the error is hopefully reproducible (the error log is output in the notebook)
https://github.com/nickwan/pandas_sql_multi/blob/master/pandas_sql_multi.ipynb
Perhaps relevant information:
Ubuntu 16.04.5 LTS
pandas: 0.24.1
numpy: 1.15.2
pyodbc: 4.0.25
sqlalchemy: 1.2.18
| {
"+1": 3,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 3,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25391/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25391/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25392 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25392/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25392/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25392/events | https://github.com/pandas-dev/pandas/issues/25392 | 412,635,824 | MDU6SXNzdWU0MTI2MzU4MjQ= | 25,392 | Creating a dataframe from its rows has inconsistent type handling | {
"avatar_url": "https://avatars.githubusercontent.com/u/7870803?v=4",
"events_url": "https://api.github.com/users/tdamsma/events{/privacy}",
"followers_url": "https://api.github.com/users/tdamsma/followers",
"following_url": "https://api.github.com/users/tdamsma/following{/other_user}",
"gists_url": "https://api.github.com/users/tdamsma/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/tdamsma",
"id": 7870803,
"login": "tdamsma",
"node_id": "MDQ6VXNlcjc4NzA4MDM=",
"organizations_url": "https://api.github.com/users/tdamsma/orgs",
"received_events_url": "https://api.github.com/users/tdamsma/received_events",
"repos_url": "https://api.github.com/users/tdamsma/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/tdamsma/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/tdamsma/subscriptions",
"type": "User",
"url": "https://api.github.com/users/tdamsma"
} | [] | closed | false | null | [] | null | 1 | 2019-02-20T21:25:41Z | 2019-02-21T08:02:18Z | 2019-02-21T08:02:18Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame(
{
"date": {
"a": pd.Timestamp("2019-02-22"),
"b": pd.Timestamp("2019-02-22"),
},
"other": {"a": "not empty"},
}
)
```
_ | date | other
-- | -- | --
a | 2019-02-22 | not empty
b | 2019-02-22 | NaN
``` python
pd.DataFrame([row for _, row in df.iterrows()])
```
_ | date | other
-- | -- | --
a | 2019-02-22 00:00:00 | not empty
b | 1550793600000000000 | None
changing type to dict helps, but you lose the index, and changes the NaN with a Nat
``` python
pd.DataFrame([dict(row) for _, row in df.iterrows()])
```
_ | date | other
-- | -- | --
0 | 2019-02-22 | not empty
1 | 2019-02-22 | NaT
#### Problem description
I would have expected that creating a dataframe from its rows would yield an identical dataframe, but the types have changed. Also, they changes seem kind of random, as values in other columns influence the result.
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: 54492791116108199c24734a0220560974eb3372
python: 3.7.1.final.0
python-bits: 64
OS: Darwin
OS-release: 18.2.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.25.0.dev0+144.g544927911.dirty
pytest: 4.1.1
pip: 18.1
setuptools: 40.6.3
Cython: 0.29.3
numpy: 1.15.4
scipy: 1.2.0
pyarrow: 0.12.0
xarray: 0.11.2
IPython: 7.2.0
sphinx: 1.8.3
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.9
blosc: 1.7.0
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.14
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml.etree: 4.3.0
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: 1.2.16
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: 0.2.0
fastparquet: 0.2.1
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25392/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25392/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25393 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25393/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25393/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25393/events | https://github.com/pandas-dev/pandas/issues/25393 | 412,745,721 | MDU6SXNzdWU0MTI3NDU3MjE= | 25,393 | ImportError: sys.meta_path is None, Python is likely shutting down | {
"avatar_url": "https://avatars.githubusercontent.com/u/6002262?v=4",
"events_url": "https://api.github.com/users/shawnxu1111/events{/privacy}",
"followers_url": "https://api.github.com/users/shawnxu1111/followers",
"following_url": "https://api.github.com/users/shawnxu1111/following{/other_user}",
"gists_url": "https://api.github.com/users/shawnxu1111/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/shawnxu1111",
"id": 6002262,
"login": "shawnxu1111",
"node_id": "MDQ6VXNlcjYwMDIyNjI=",
"organizations_url": "https://api.github.com/users/shawnxu1111/orgs",
"received_events_url": "https://api.github.com/users/shawnxu1111/received_events",
"repos_url": "https://api.github.com/users/shawnxu1111/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/shawnxu1111/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/shawnxu1111/subscriptions",
"type": "User",
"url": "https://api.github.com/users/shawnxu1111"
} | [] | closed | false | null | [] | null | 3 | 2019-02-21T04:39:30Z | 2019-02-22T15:37:36Z | 2019-02-22T15:37:35Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
class PatternManager:
__community_alias_df = pd.read_csv(const.COMMUNITY_ALIAS, encoding='utf-8').fillna(value = "")
__community_alias_not_changed = False
def __del__(self):
PatternManager.writeDF()
pass
@classmethod
def writeDF(cls):
if cls.__community_alias_not_changed is False:
cls.__community_alias_df.to_csv(const.COMMUNITY_ALIAS, index=False)
cls.__community_alias_not_changed = True
print('writng this DF successfully')
return True
return False
if __name__ == "__main__":
pm = PatternManager()
```
#### Problem description
File "C:\Users\XXX\.virtualenvs\XXX\lib\site-packages\pandas\core\generic.py", line 3007, in to_csv
ImportError: sys.meta_path is None, Python is likely shutting down
#### Expected Output
writing this DF successfully
#### Output of ``pd.show_versions()``
<details>
I have try to comment 'cls.__community_alias_df.to_csv(const.COMMUNITY_ALIAS, index=False)'. If it's commented, the program works well, so the problem must be using pandas in __del__. SO!! Can pandas be used in __del__. If not, do I have a simillar solution for this. Or is that a bug of pandas?
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25393/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25393/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25394 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25394/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25394/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25394/events | https://github.com/pandas-dev/pandas/pull/25394 | 412,764,134 | MDExOlB1bGxSZXF1ZXN0MjU0ODk4NDY5 | 25,394 | BUG: pd.Series.interpolate non-numeric index column (21662) | {
"avatar_url": "https://avatars.githubusercontent.com/u/2520893?v=4",
"events_url": "https://api.github.com/users/TrigonaMinima/events{/privacy}",
"followers_url": "https://api.github.com/users/TrigonaMinima/followers",
"following_url": "https://api.github.com/users/TrigonaMinima/following{/other_user}",
"gists_url": "https://api.github.com/users/TrigonaMinima/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TrigonaMinima",
"id": 2520893,
"login": "TrigonaMinima",
"node_id": "MDQ6VXNlcjI1MjA4OTM=",
"organizations_url": "https://api.github.com/users/TrigonaMinima/orgs",
"received_events_url": "https://api.github.com/users/TrigonaMinima/received_events",
"repos_url": "https://api.github.com/users/TrigonaMinima/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TrigonaMinima/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TrigonaMinima/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TrigonaMinima"
} | [
{
"color": "ffa0ff",
"default": false,
"description": "Incorrect or improved errors from pandas",
"id": 42670965,
"name": "Error Reporting",
"node_id": "MDU6TGFiZWw0MjY3MDk2NQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Error%20Reporting"
},
{
"color": "006b... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 9 | 2019-02-21T06:10:16Z | 2019-03-25T01:59:03Z | 2019-03-24T23:34:05Z | CONTRIBUTOR | null | - [x] closes #21662
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Raises a helpful exception when a non-numeric index is sent to ```interpolate``` with methods which require numeric index. Skipped a few methods which can also work on datetime index.
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25394/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25394/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25394.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25394",
"merged_at": "2019-03-24T23:34:05Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25394.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25394"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25395 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25395/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25395/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25395/events | https://github.com/pandas-dev/pandas/issues/25395 | 412,769,071 | MDU6SXNzdWU0MTI3NjkwNzE= | 25,395 | pd.Series.isin has different behaviour based on number of rows | {
"avatar_url": "https://avatars.githubusercontent.com/u/4025446?v=4",
"events_url": "https://api.github.com/users/dimitar-petrov/events{/privacy}",
"followers_url": "https://api.github.com/users/dimitar-petrov/followers",
"following_url": "https://api.github.com/users/dimitar-petrov/following{/other_user}",
"gists_url": "https://api.github.com/users/dimitar-petrov/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/dimitar-petrov",
"id": 4025446,
"login": "dimitar-petrov",
"node_id": "MDQ6VXNlcjQwMjU0NDY=",
"organizations_url": "https://api.github.com/users/dimitar-petrov/orgs",
"received_events_url": "https://api.github.com/users/dimitar-petrov/received_events",
"repos_url": "https://api.github.com/users/dimitar-petrov/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/dimitar-petrov/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dimitar-petrov/subscriptions",
"type": "User",
"url": "https://api.github.com/users/dimitar-petrov"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "eb6420",
"default": false,
"description": "Non-arithmetic algos: va... | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 5 | 2019-02-21T06:30:47Z | 2020-09-04T22:30:21Z | 2020-09-04T22:30:20Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
ONEMIL = 1_000_000
big_ser = pd.Series([np.nan] + [1] * (ONEMIL))
big_ser.isin([np.nan]).head()
0 False
1 False
2 False
3 False
4 False
dtype: bool
big_ser.isin([np.nan]).value_counts()
False 1000001
dtype: int64
small_ser = pd.Series([np.nan] + [1] * (ONEMIL - 1))
small_ser.isin([np.nan]).head()
0 True
1 False
2 False
3 False
4 False
dtype: bool
small_ser.isin([np.nan]).value_counts()
False 999999
True 1
dtype: int64
```
#### Problem description
The behaviour is not consistent. The example above should be descriptive enough.
#### Expected Output
Accurate result of pd.Series.isin should not depend on series length.
Both cases should accurately count 1 row containing np.Nan
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Linux
OS-release: 4.20.8-arch1-1-ARCH
machine: x86_64
processor:
byteorder: little
LC_ALL: en_US.utf-8
LANG: en_US.utf-8
LOCALE: en_US.UTF-8
pandas: 0.23.4
pytest: 4.0.1
pip: 18.1
setuptools: 40.6.2
Cython: None
numpy: 1.15.4
scipy: 1.2.0
pyarrow: 0.11.1
xarray: 0.11.0
IPython: 7.2.0
sphinx: 1.8.2
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.9
blosc: 1.6.2
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 3.0.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: 0.2.1
pandas_gbq: None
pandas_datareader: 0.7.0
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25395/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25395/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25396 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25396/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25396/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25396/events | https://github.com/pandas-dev/pandas/issues/25396 | 412,801,969 | MDU6SXNzdWU0MTI4MDE5Njk= | 25,396 | pd.Interval default closed='right'? | {
"avatar_url": "https://avatars.githubusercontent.com/u/2942215?v=4",
"events_url": "https://api.github.com/users/smsaladi/events{/privacy}",
"followers_url": "https://api.github.com/users/smsaladi/followers",
"following_url": "https://api.github.com/users/smsaladi/following{/other_user}",
"gists_url": "https://api.github.com/users/smsaladi/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/smsaladi",
"id": 2942215,
"login": "smsaladi",
"node_id": "MDQ6VXNlcjI5NDIyMTU=",
"organizations_url": "https://api.github.com/users/smsaladi/orgs",
"received_events_url": "https://api.github.com/users/smsaladi/received_events",
"repos_url": "https://api.github.com/users/smsaladi/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/smsaladi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/smsaladi/subscriptions",
"type": "User",
"url": "https://api.github.com/users/smsaladi"
} | [
{
"color": "4E9A06",
"default": false,
"description": null,
"id": 76812,
"name": "Enhancement",
"node_id": "MDU6TGFiZWw3NjgxMg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Enhancement"
},
{
"color": "009800",
"default": false,
"description": "Interval... | open | false | null | [] | null | 2 | 2019-02-21T08:25:19Z | 2021-06-27T18:20:16Z | null | CONTRIBUTOR | null | In my trying to use pd.Intervals/pd.IntervalIndex (which are terrific additions), I've become somewhat perplexed with the default of `closed='right'`. Python slicing is inclusive-exclusive, so I thought `pd.Interval`s might have the same default. I imagine there is a reason for this that I haven't quite understood.
I tried searching through the issue tracker for more information but wasn't really successful ... although I imagine it's pretty likely that I've missed the relevant issue. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25396/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25396/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25397/events | https://github.com/pandas-dev/pandas/issues/25397 | 412,806,813 | MDU6SXNzdWU0MTI4MDY4MTM= | 25,397 | DataFrame groupby.first() is much slower than groupby.nth(0) on categorical dtypes | {
"avatar_url": "https://avatars.githubusercontent.com/u/18585219?v=4",
"events_url": "https://api.github.com/users/joseortiz3/events{/privacy}",
"followers_url": "https://api.github.com/users/joseortiz3/followers",
"following_url": "https://api.github.com/users/joseortiz3/following{/other_user}",
"gists_url": "https://api.github.com/users/joseortiz3/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/joseortiz3",
"id": 18585219,
"login": "joseortiz3",
"node_id": "MDQ6VXNlcjE4NTg1MjE5",
"organizations_url": "https://api.github.com/users/joseortiz3/orgs",
"received_events_url": "https://api.github.com/users/joseortiz3/received_events",
"repos_url": "https://api.github.com/users/joseortiz3/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/joseortiz3/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/joseortiz3/subscriptions",
"type": "User",
"url": "https://api.github.com/users/joseortiz3"
} | [
{
"color": "729FCF",
"default": false,
"description": null,
"id": 233160,
"name": "Groupby",
"node_id": "MDU6TGFiZWwyMzMxNjA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Groupby"
},
{
"color": "a10c02",
"default": false,
"description": "Memory or execu... | open | false | null | [] | null | 2 | 2019-02-21T08:38:16Z | 2019-04-16T06:46:46Z | null | NONE | null | `groupby.first()` is much slower than `groupby.nth(0)` for categorical columns in a very specific way.
Consider carefully the example below, where a dataframe has two columns `c1` and `c2`. The number of unique values in the `c1` column (regardless of its datatype) increases the runtime of `first` _when and only when_ `c2` is a categorical column.
```python
import pandas as pd, numpy as np, timeit
def test(N_CATEGORIES, cat_cols = ['c2']):
# creates dataframe df with categorical column c1, optional categorical column c2.
# Times how long grouping by c1 and calling nth(0) and first takes
global df
print(N_CATEGORIES)
df = pd.DataFrame({
'c1':np.arange(0,10000)%N_CATEGORIES,
'c2':np.arange(0,10000)
})
for col in cat_cols:
df[col] = df[col].astype('category')
t_nth = timeit.timeit("x1 =df.groupby(['c1']).nth(0, dropna='all')", setup="from __main__ import df", number=1)
t_first = timeit.timeit("x2 = df.groupby(['c1']).first()", setup="from __main__ import df", number=1)
return t_nth, t_first
test_N_categories = [1,10,100,1000,10000]
# Test when column c2 is categorical
results_c2_cat = pd.DataFrame([test(N, cat_cols=['c2']) for N in test_N_categories],
index=test_N_categories,
columns=['nth','first'])
# Test when column c2 is not categorical
results_c2_not_cat = pd.DataFrame([test(N, cat_cols=[]) for N in test_N_categories],
index=test_N_categories,
columns=['nth','first'])
print(results_c2_cat)
print(results_c2_not_cat)
```
The results are
```python
>>> print(results_c2_cat)
nth first
1 0.004204 0.010677
10 0.005890 0.015701
100 0.005305 0.052130
1000 0.004365 0.581036
10000 0.004358 2.847709
>>> print(results_c2_not_cat)
nth first
1 0.003479 0.001110
10 0.003027 0.000993
100 0.003297 0.001089
1000 0.003297 0.001057
10000 0.003952 0.001382
```
As shown, when the column `c2` is categorical, the runtime of `first` grows very rapidly as a function of the number of unique values in the column `c1` (and thus the "width" of the groupby).
`first` and `last` both suffer from this problem.
(see also https://github.com/pandas-dev/pandas/issues/19283 and https://github.com/pandas-dev/pandas/issues/19598)
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.24.1
pytest: None
pip: 19.0.1
setuptools: 39.0.1
Cython: None
numpy: 1.15.3
scipy: 1.1.0
pyarrow: 0.12.0
xarray: 0.11.0
IPython: None
sphinx: None
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.6
blosc: None
bottleneck: None
tables: 3.4.4
numexpr: 2.6.8
feather: 0.4.0
matplotlib: 3.0.1
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: 4.2.6
bs4: 4.6.3
html5lib: None
sqlalchemy: 1.2.17
pymysql: None
psycopg2: 2.7.7 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25397/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25397/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25398 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25398/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25398/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25398/events | https://github.com/pandas-dev/pandas/issues/25398 | 412,836,326 | MDU6SXNzdWU0MTI4MzYzMjY= | 25,398 | Please add more ways to remove header formatting when exporting to Excel | {
"avatar_url": "https://avatars.githubusercontent.com/u/35899551?v=4",
"events_url": "https://api.github.com/users/reportgunner/events{/privacy}",
"followers_url": "https://api.github.com/users/reportgunner/followers",
"following_url": "https://api.github.com/users/reportgunner/following{/other_user}",
"gists_url": "https://api.github.com/users/reportgunner/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/reportgunner",
"id": 35899551,
"login": "reportgunner",
"node_id": "MDQ6VXNlcjM1ODk5NTUx",
"organizations_url": "https://api.github.com/users/reportgunner/orgs",
"received_events_url": "https://api.github.com/users/reportgunner/received_events",
"repos_url": "https://api.github.com/users/reportgunner/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/reportgunner/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/reportgunner/subscriptions",
"type": "User",
"url": "https://api.github.com/users/reportgunner"
} | [
{
"color": "009800",
"default": false,
"description": "Duplicate issue or pull request",
"id": 40153326,
"name": "Duplicate Report",
"node_id": "MDU6TGFiZWw0MDE1MzMyNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Duplicate%20Report"
}
] | closed | false | null | [] | null | 4 | 2019-02-21T09:51:55Z | 2019-02-22T15:11:08Z | 2019-02-21T16:57:01Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
pandas.io.formats.excel.header_style = None
pandas.core.format.header_style = None
pandas.formats.format.header_style = None
```
#### Problem description
Every time I try to make a simple xlsx file out of a bunch of SQL results I end up spending most of my time trying to get rid of the awful default header format. I never remember how to do it so I try all the ways that are on the internet and usually none of them work.
Can you please add at least 4 different ways to disable the default formatting so I can spend more time trying to figure such a trivial action next time ?
Also it would be great if the default header font can be changed to Comic Sans with Yellow font color, I can then go and fix the header formatting manually for every file because nobody will be able to read it.
Best case scenario would be to somehow randomize this property that disables formatting so it changes from version to version and old ways to turn it off come and go so I can avoid more work by monkey patching the package every time I update.
Thank you !
#### Expected Output
pandas.io.formats.excel.header_style = None
pandas.core.format.header_style = None
pandas.formats.format.header_style = None
pandas.formats.io.excel.header = None
pandas.excel.formats.io.header = None
pandas.pandas.pandas.header = None
pandas.defaults.excel.headers.style = None
pandas.formats.excel.header.interior.color = None
pandas.formats.excel.header.borders.color = None
pandas.formats.excel.header.borders.style = None
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-8-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: en_GB.UTF-8
pandas: 0.24.1
pytest: None
pip: 19.0.2
setuptools: 40.6.3
Cython: None
numpy: 1.16.1
scipy: None
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: 1.1.4
lxml.etree: 4.3.1
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 3,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 1,
"rocket": 0,
"total_count": 4,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25398/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25398/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25399/events | https://github.com/pandas-dev/pandas/issues/25399 | 412,837,425 | MDU6SXNzdWU0MTI4Mzc0MjU= | 25,399 | Inconsistent handling of duplicate axes + mixed dtypes in `DataFrame.where` | {
"avatar_url": "https://avatars.githubusercontent.com/u/18488?v=4",
"events_url": "https://api.github.com/users/batterseapower/events{/privacy}",
"followers_url": "https://api.github.com/users/batterseapower/followers",
"following_url": "https://api.github.com/users/batterseapower/following{/other_user}",
"gists_url": "https://api.github.com/users/batterseapower/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/batterseapower",
"id": 18488,
"login": "batterseapower",
"node_id": "MDQ6VXNlcjE4NDg4",
"organizations_url": "https://api.github.com/users/batterseapower/orgs",
"received_events_url": "https://api.github.com/users/batterseapower/received_events",
"repos_url": "https://api.github.com/users/batterseapower/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/batterseapower/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/batterseapower/subscriptions",
"type": "User",
"url": "https://api.github.com/users/batterseapower"
} | [
{
"color": "0e8a16",
"default": true,
"description": null,
"id": 717120670,
"name": "good first issue",
"node_id": "MDU6TGFiZWw3MTcxMjA2NzA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/good%20first%20issue"
},
{
"color": "cdea3c",
"default": false,
"de... | open | false | null | [] | null | 7 | 2019-02-21T09:54:20Z | 2021-08-19T16:10:21Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
result = pd.DataFrame([
[0, np.nan]
], columns=pd.Index(['A', 'A']))
mask = pd.DataFrame([[True, True]], *result.axes)
a = result.astype(object).where(mask) # works
b = result.astype('f8').where(mask) # works
c = result.T.where(mask.T).T # works
d = result.where(mask) # fails: "cannot reindex from a duplicate axis"
```
#### Problem description
It doesn't make sense that `a`, `b` and `c` work but `d` doesn't. The dtype of a column shouldn't affect whether or not masking suceeds.
#### Expected Output
`a.astype('f8').equals(b.astype('f8')) and b.astype('f8').equals(c.astype('f8')) and c.astype('f8').equals(d.astype('f8'))`
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 63 Stepping 2, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.24.1
pytest: 3.1.2
pip: 19.0.2
setuptools: 39.0.1
Cython: 0.27.2
numpy: 1.16.1
scipy: 1.2.1
pyarrow: 0.9.0
xarray: None
IPython: 6.1.0
sphinx: None
patsy: 0.4.1
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: 1.3.0.dev0
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 2.2.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: 3.8.0
bs4: 4.6.0
html5lib: 0.9999999
sqlalchemy: 1.1.11
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: 0.1.5
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25399/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25399/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25400/events | https://github.com/pandas-dev/pandas/pull/25400 | 412,941,473 | MDExOlB1bGxSZXF1ZXN0MjU1MDM2NTYw | 25,400 | Mark test_pct_max_many_rows as high memory | {
"avatar_url": "https://avatars.githubusercontent.com/u/1055830?v=4",
"events_url": "https://api.github.com/users/scarabeusiv/events{/privacy}",
"followers_url": "https://api.github.com/users/scarabeusiv/followers",
"following_url": "https://api.github.com/users/scarabeusiv/following{/other_user}",
"gists_url": "https://api.github.com/users/scarabeusiv/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/scarabeusiv",
"id": 1055830,
"login": "scarabeusiv",
"node_id": "MDQ6VXNlcjEwNTU4MzA=",
"organizations_url": "https://api.github.com/users/scarabeusiv/orgs",
"received_events_url": "https://api.github.com/users/scarabeusiv/received_events",
"repos_url": "https://api.github.com/users/scarabeusiv/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/scarabeusiv/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/scarabeusiv/subscriptions",
"type": "User",
"url": "https://api.github.com/users/scarabeusiv"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
}
] | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 6 | 2019-02-21T14:06:56Z | 2019-02-25T10:59:49Z | 2019-02-22T19:04:26Z | CONTRIBUTOR | null | Fixes issue #25384
- [ ] closes #25384
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25400/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25400/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25400.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25400",
"merged_at": "2019-02-22T19:04:26Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25400.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25400"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25401 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25401/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25401/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25401/events | https://github.com/pandas-dev/pandas/issues/25401 | 412,978,605 | MDU6SXNzdWU0MTI5Nzg2MDU= | 25,401 | No module named 'pandas.tslib'' | {
"avatar_url": "https://avatars.githubusercontent.com/u/42534003?v=4",
"events_url": "https://api.github.com/users/qqkl662/events{/privacy}",
"followers_url": "https://api.github.com/users/qqkl662/followers",
"following_url": "https://api.github.com/users/qqkl662/following{/other_user}",
"gists_url": "https://api.github.com/users/qqkl662/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/qqkl662",
"id": 42534003,
"login": "qqkl662",
"node_id": "MDQ6VXNlcjQyNTM0MDAz",
"organizations_url": "https://api.github.com/users/qqkl662/orgs",
"received_events_url": "https://api.github.com/users/qqkl662/received_events",
"repos_url": "https://api.github.com/users/qqkl662/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/qqkl662/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/qqkl662/subscriptions",
"type": "User",
"url": "https://api.github.com/users/qqkl662"
} | [] | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 2361,
"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisvandenbossche/followers",
"following_url": "https://api.github.com/users/jorisvandenbossche/following{/other_user}",
"gists_url": "https://api.github.com/users/jorisvandenbossche/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jorisvandenbossche",
"id": 1020496,
"login": "jorisvandenbossche",
"node_id": "MDQ6VXNlcjEwMjA0OTY=",
"organizations_url": "https://api.github.com/users/jorisvandenbossche/orgs",
"received_events_url": "https://api.github.com/users/jorisvandenbossche/received_events",
"repos_url": "https://api.github.com/users/jorisvandenbossche/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jorisvandenbossche/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jorisvandenbossche"
},
"description": "A milestone for closed or open issues for which there is no action needed (eg not a bug, just a question / discussion, nothing to resolve, wontfix, etc).\r\n\r\n",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/33",
"id": 997544,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33/labels",
"node_id": "MDk6TWlsZXN0b25lOTk3NTQ0",
"number": 33,
"open_issues": 11,
"state": "open",
"title": "No action",
"updated_at": "2021-11-19T17:33:16Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33"
} | 2 | 2019-02-21T15:20:57Z | 2019-02-21T15:37:32Z | 2019-02-21T15:25:10Z | NONE | null | i cannot import the module named qtpandas,this module is based on pandas.
the problem is 'ModuleNotFoundError: No module named 'pandas.tslib''
how to solve this problem?
i have install the qtpandas and pandas
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25401/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25401/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25402 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25402/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25402/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25402/events | https://github.com/pandas-dev/pandas/pull/25402 | 412,995,004 | MDExOlB1bGxSZXF1ZXN0MjU1MDc5NTUz | 25,402 | CI: Set pytest minversion to 4.0.2 | {
"avatar_url": "https://avatars.githubusercontent.com/u/13159005?v=4",
"events_url": "https://api.github.com/users/simonjayhawkins/events{/privacy}",
"followers_url": "https://api.github.com/users/simonjayhawkins/followers",
"following_url": "https://api.github.com/users/simonjayhawkins/following{/other_user}",
"gists_url": "https://api.github.com/users/simonjayhawkins/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/simonjayhawkins",
"id": 13159005,
"login": "simonjayhawkins",
"node_id": "MDQ6VXNlcjEzMTU5MDA1",
"organizations_url": "https://api.github.com/users/simonjayhawkins/orgs",
"received_events_url": "https://api.github.com/users/simonjayhawkins/received_events",
"repos_url": "https://api.github.com/users/simonjayhawkins/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/simonjayhawkins/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/simonjayhawkins/subscriptions",
"type": "User",
"url": "https://api.github.com/users/simonjayhawkins"
} | [
{
"color": "C4A000",
"default": false,
"description": "pandas testing functions or related to the test suite",
"id": 127685,
"name": "Testing",
"node_id": "MDU6TGFiZWwxMjc2ODU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Testing"
}
] | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 13 | 2019-02-21T15:53:07Z | 2019-02-28T14:30:12Z | 2019-02-28T12:59:33Z | MEMBER | null | - [x] closes #23519
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25402/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25402/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25402.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25402",
"merged_at": "2019-02-28T12:59:33Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25402.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25402"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25403 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25403/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25403/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25403/events | https://github.com/pandas-dev/pandas/issues/25403 | 413,079,945 | MDU6SXNzdWU0MTMwNzk5NDU= | 25,403 | Constructing a df with readonly array of Periods fails | {
"avatar_url": "https://avatars.githubusercontent.com/u/5635139?v=4",
"events_url": "https://api.github.com/users/max-sixty/events{/privacy}",
"followers_url": "https://api.github.com/users/max-sixty/followers",
"following_url": "https://api.github.com/users/max-sixty/following{/other_user}",
"gists_url": "https://api.github.com/users/max-sixty/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/max-sixty",
"id": 5635139,
"login": "max-sixty",
"node_id": "MDQ6VXNlcjU2MzUxMzk=",
"organizations_url": "https://api.github.com/users/max-sixty/orgs",
"received_events_url": "https://api.github.com/users/max-sixty/received_events",
"repos_url": "https://api.github.com/users/max-sixty/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/max-sixty/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/max-sixty/subscriptions",
"type": "User",
"url": "https://api.github.com/users/max-sixty"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "e11d21",
"default": false,
"description": "Functionality that used ... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 4 | 2019-02-21T19:11:02Z | 2019-03-07T14:24:56Z | 2019-03-07T14:24:56Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: import numpy as np
In [6]: pa = pd.PeriodIndex([pd.Period('2019-01-01')]).to_numpy()
In [8]: pa.setflags(write=False)
In [9]: pd.DataFrame(dict(date=pa, x=[1]))
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-9-7a4f1ee8be64> in <module>()
----> 1 pd.DataFrame(dict(date=pa, x=[1]))
/usr/local/lib/python2.7/site-packages/pandas/core/frame.pyc in __init__(self, data, index, columns, dtype, copy)
390 dtype=dtype, copy=copy)
391 elif isinstance(data, dict):
--> 392 mgr = init_dict(data, index, columns, dtype=dtype)
393 elif isinstance(data, ma.MaskedArray):
394 import numpy.ma.mrecords as mrecords
/usr/local/lib/python2.7/site-packages/pandas/core/internals/construction.pyc in init_dict(data, index, columns, dtype)
210 arrays = [data[k] for k in keys]
211
--> 212 return arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
213
214
/usr/local/lib/python2.7/site-packages/pandas/core/internals/construction.pyc in arrays_to_mgr(arrays, arr_names, index, columns, dtype)
54
55 # don't force copy because getting jammed in an ndarray anyway
---> 56 arrays = _homogenize(arrays, index, dtype)
57
58 # from BlockManager perspective
/usr/local/lib/python2.7/site-packages/pandas/core/internals/construction.pyc in _homogenize(data, index, dtype)
275 val = lib.fast_multiget(val, oindex.values, default=np.nan)
276 val = sanitize_array(val, index, dtype=dtype, copy=False,
--> 277 raise_cast_failure=False)
278
279 homogenized.append(val)
/usr/local/lib/python2.7/site-packages/pandas/core/internals/construction.pyc in sanitize_array(data, index, dtype, copy, raise_cast_failure)
675 if inferred == 'period':
676 try:
--> 677 subarr = period_array(subarr)
678 except IncompatibleFrequency:
679 pass
/usr/local/lib/python2.7/site-packages/pandas/core/arrays/period.pyc in period_array(data, freq, copy)
786 data = ensure_object(data)
787
--> 788 return PeriodArray._from_sequence(data, dtype=dtype)
789
790
/usr/local/lib/python2.7/site-packages/pandas/core/arrays/period.pyc in _from_sequence(cls, scalars, dtype, copy)
197 periods = periods.copy()
198
--> 199 freq = freq or libperiod.extract_freq(periods)
200 ordinals = libperiod.extract_ordinals(periods, freq)
201 return cls(ordinals, freq=freq)
pandas/_libs/tslibs/period.pyx in pandas._libs.tslibs.period.extract_freq()
/usr/local/lib/python2.7/site-packages/pandas/_libs/tslibs/period.so in View.MemoryView.memoryview_cwrapper()
/usr/local/lib/python2.7/site-packages/pandas/_libs/tslibs/period.so in View.MemoryView.memoryview.__cinit__()
ValueError: buffer source array is read-only
```
#### Problem description
I'm currently seeing this issue because xarray is constructing a read-only array of Periods in a `.to_dataframe()` call.
If pandas isn't expected to support these arrays, we could attempt to prevent this in xarray
#### Expected Output
#### Output of ``pd.show_versions()``
<details>
In [10]: pd.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.15.final.0
python-bits: 64
OS: Darwin
OS-release: 18.2.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: None.None
pandas: 0.24.1
pytest: 4.2.0
pip: 19.0.3
setuptools: 40.6.3
Cython: 0.29.5
numpy: 1.16.1
scipy: 1.2.1
pyarrow: 0.12.0
xarray: 0.11.3
IPython: 5.8.0
sphinx: None
patsy: 0.5.1
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: 1.2.1
tables: None
numexpr: 2.6.9
feather: None
matplotlib: 2.2.3
openpyxl: None
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: None
lxml.etree: 4.3.1
bs4: 4.7.1
html5lib: None
sqlalchemy: 1.2.17
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: 0.9.0
pandas_datareader: 0.7.0
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25403/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25403/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25404 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25404/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25404/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25404/events | https://github.com/pandas-dev/pandas/issues/25404 | 413,137,993 | MDU6SXNzdWU0MTMxMzc5OTM= | 25,404 | Series.str.casefold | {
"avatar_url": "https://avatars.githubusercontent.com/u/47404382?v=4",
"events_url": "https://api.github.com/users/mike-suplari/events{/privacy}",
"followers_url": "https://api.github.com/users/mike-suplari/followers",
"following_url": "https://api.github.com/users/mike-suplari/following{/other_user}",
"gists_url": "https://api.github.com/users/mike-suplari/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mike-suplari",
"id": 47404382,
"login": "mike-suplari",
"node_id": "MDQ6VXNlcjQ3NDA0Mzgy",
"organizations_url": "https://api.github.com/users/mike-suplari/orgs",
"received_events_url": "https://api.github.com/users/mike-suplari/received_events",
"repos_url": "https://api.github.com/users/mike-suplari/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mike-suplari/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mike-suplari/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mike-suplari"
} | [] | closed | false | null | [] | null | 0 | 2019-02-21T21:45:28Z | 2019-02-21T22:20:02Z | 2019-02-21T21:46:34Z | NONE | null | See #25405 | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25404/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25404/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25405 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25405/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25405/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25405/events | https://github.com/pandas-dev/pandas/issues/25405 | 413,138,709 | MDU6SXNzdWU0MTMxMzg3MDk= | 25,405 | Series.str.casefold | {
"avatar_url": "https://avatars.githubusercontent.com/u/1328688?v=4",
"events_url": "https://api.github.com/users/selik/events{/privacy}",
"followers_url": "https://api.github.com/users/selik/followers",
"following_url": "https://api.github.com/users/selik/following{/other_user}",
"gists_url": "https://api.github.com/users/selik/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/selik",
"id": 1328688,
"login": "selik",
"node_id": "MDQ6VXNlcjEzMjg2ODg=",
"organizations_url": "https://api.github.com/users/selik/orgs",
"received_events_url": "https://api.github.com/users/selik/received_events",
"repos_url": "https://api.github.com/users/selik/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/selik/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/selik/subscriptions",
"type": "User",
"url": "https://api.github.com/users/selik"
} | [
{
"color": "4E9A06",
"default": false,
"description": null,
"id": 76812,
"name": "Enhancement",
"node_id": "MDU6TGFiZWw3NjgxMg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Enhancement"
},
{
"color": "5319e7",
"default": false,
"description": "String e... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 2 | 2019-02-21T21:47:28Z | 2019-02-28T21:21:39Z | 2019-02-28T21:21:39Z | CONTRIBUTOR | null | `Series.str.lower` implements `str.lower`, as expected. There are also corresponding `Series` methods for the other Python 2 string casing methods. However, Python 3's `str.casefold` is missing. [Casefold](https://docs.python.org/3/library/stdtypes.html#str.casefold) improves string equality and other comparisons, because it handles a greater variety of characters, as per the Unicode Standard. It'd be nice to have `Series.str.casefold` in Pandas.
The current alternative is more verbose and is slower than `Series.str.lower`.
pd.Series(s.casefold() if isinstance(s, str) else s for s in series)
Further, this alternative encourages a frustrating mistake -- forgetting to keep the original Series' index, which causes trouble if the new Series needs to be inserted into the same DataFrame as the original.
Apologies for double-posting. I used the wrong account for #25404 . | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25405/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25405/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25406 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25406/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25406/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25406/events | https://github.com/pandas-dev/pandas/issues/25406 | 413,200,133 | MDU6SXNzdWU0MTMyMDAxMzM= | 25,406 | RecursionError when comparing columns with a string beginning in "interval" on Debian | {
"avatar_url": "https://avatars.githubusercontent.com/u/8292702?v=4",
"events_url": "https://api.github.com/users/cdebost/events{/privacy}",
"followers_url": "https://api.github.com/users/cdebost/followers",
"following_url": "https://api.github.com/users/cdebost/following{/other_user}",
"gists_url": "https://api.github.com/users/cdebost/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/cdebost",
"id": 8292702,
"login": "cdebost",
"node_id": "MDQ6VXNlcjgyOTI3MDI=",
"organizations_url": "https://api.github.com/users/cdebost/orgs",
"received_events_url": "https://api.github.com/users/cdebost/received_events",
"repos_url": "https://api.github.com/users/cdebost/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/cdebost/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/cdebost/subscriptions",
"type": "User",
"url": "https://api.github.com/users/cdebost"
} | [
{
"color": "009800",
"default": false,
"description": "Duplicate issue or pull request",
"id": 40153326,
"name": "Duplicate Report",
"node_id": "MDU6TGFiZWw0MDE1MzMyNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Duplicate%20Report"
},
{
"color": "009800",
... | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 2361,
"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisvandenbossche/followers",
"following_url": "https://api.github.com/users/jorisvandenbossche/following{/other_user}",
"gists_url": "https://api.github.com/users/jorisvandenbossche/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jorisvandenbossche",
"id": 1020496,
"login": "jorisvandenbossche",
"node_id": "MDQ6VXNlcjEwMjA0OTY=",
"organizations_url": "https://api.github.com/users/jorisvandenbossche/orgs",
"received_events_url": "https://api.github.com/users/jorisvandenbossche/received_events",
"repos_url": "https://api.github.com/users/jorisvandenbossche/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jorisvandenbossche/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jorisvandenbossche"
},
"description": "A milestone for closed or open issues for which there is no action needed (eg not a bug, just a question / discussion, nothing to resolve, wontfix, etc).\r\n\r\n",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/33",
"id": 997544,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33/labels",
"node_id": "MDk6TWlsZXN0b25lOTk3NTQ0",
"number": 33,
"open_issues": 11,
"state": "open",
"title": "No action",
"updated_at": "2021-11-19T17:33:16Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/33"
} | 3 | 2019-02-22T01:27:18Z | 2019-02-25T22:35:40Z | 2019-02-22T02:18:45Z | NONE | null | #### Code Sample
```python
import pandas as pd
d = {'col1': ['a', 'b']}
df = pd.DataFrame(data=d)
df.col1 == 'interval' # works
df.col1 == 'bintervals' # works
df.col1 == 'intervals' # RecursionError
df.col1 == 'interval11111' # RecursionError
```
Reproduced on python 2.7.15, 3.6.7, 3.7.0, 3.7.2 on Debian (using official Docker images), can't reproduce on macOS.
#### Issue Description
My use case involves using a very small DataFrame from a csv, whose columns will be compared against words in news stories. Recently, I noticed some `RecusionError`s in my server logs. After some digging, I discovered that comparing a DataFrame's column against a string that starts with "interval" causes the RecursionError.
The error appears to occur when the string starts with "interval" (no characters preceding it) and has additional characters after "interval". I'm not familiar enough with pandas to know why this could be happening. Are values starting with "interval" reserved for pandas' internal implementation of Intervals?
Strangely I can't reproduce the RecursionError on macOS. This issue could be related to Python on Debian, but the recursion loop does seem to originate in `pandas/core/dtypes/dtypes.py`.
My apologies if this is a duplicate issue that is already being tracked. I could not find any other reports of issues with this value, or documentation that states "interval..." is a reserved value.
#### Stack trace of RecursionError
<details>
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/site-packages/pandas/core/ops.py", line 1728, in wrapper
(is_extension_array_dtype(other) and not is_scalar(other))):
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 1749, in is_extension_array_dtype
registry.find(dtype) is not None)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 938, in construct_from_string
return cls(string)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 899, in __new__
subtype = pandas_dtype(subtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/common.py", line 2004, in pandas_dtype
result = registry.find(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 89, in find
return dtype_type.construct_from_string(dtype)
File "/usr/local/lib/python2.7/site-packages/pandas/core/dtypes/dtypes.py", line 689, in construct_from_string
if isinstance(string, compat.string_types):
RuntimeError: maximum recursion depth exceeded while calling a Python object
</details>
#### Expected Output
Pandas should not raise a RecursionError.
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.7.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.125-linuxkit
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: C.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.24.1
pytest: 4.3.0
pip: 18.1
setuptools: 40.6.2
Cython: None
numpy: 1.16.1
scipy: None
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: None
bs4: None
html5lib: None
sqlalchemy: 1.2.18
pymysql: None
psycopg2: 2.7.7 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25406/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25406/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25407 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25407/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25407/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25407/events | https://github.com/pandas-dev/pandas/pull/25407 | 413,263,497 | MDExOlB1bGxSZXF1ZXN0MjU1Mjg2ODY2 | 25,407 | dropna(subset=...) should accept incomplete key | {
"avatar_url": "https://avatars.githubusercontent.com/u/33966871?v=4",
"events_url": "https://api.github.com/users/alexander-ponomaroff/events{/privacy}",
"followers_url": "https://api.github.com/users/alexander-ponomaroff/followers",
"following_url": "https://api.github.com/users/alexander-ponomaroff/following{/other_user}",
"gists_url": "https://api.github.com/users/alexander-ponomaroff/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/alexander-ponomaroff",
"id": 33966871,
"login": "alexander-ponomaroff",
"node_id": "MDQ6VXNlcjMzOTY2ODcx",
"organizations_url": "https://api.github.com/users/alexander-ponomaroff/orgs",
"received_events_url": "https://api.github.com/users/alexander-ponomaroff/received_events",
"repos_url": "https://api.github.com/users/alexander-ponomaroff/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/alexander-ponomaroff/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/alexander-ponomaroff/subscriptions",
"type": "User",
"url": "https://api.github.com/users/alexander-ponomaroff"
} | [
{
"color": "0b02e1",
"default": false,
"description": "Related to indexing on series/frames, not to indexes themselves",
"id": 2822098,
"name": "Indexing",
"node_id": "MDU6TGFiZWwyODIyMDk4",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Indexing"
}
] | closed | false | null | [] | null | 5 | 2019-02-22T06:34:00Z | 2019-04-20T17:40:43Z | 2019-04-20T17:40:43Z | CONTRIBUTOR | null |
I'm not sure if this is the best way to go about solving this problem, so feedback would be appreciated.
- [x] closes #17737
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25407/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25407/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25407.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25407",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/25407.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25407"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25408 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25408/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25408/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25408/events | https://github.com/pandas-dev/pandas/issues/25408 | 413,327,873 | MDU6SXNzdWU0MTMzMjc4NzM= | 25,408 | Unexpected to_dict output after upgrading to 0.24.1 | {
"avatar_url": "https://avatars.githubusercontent.com/u/81103?v=4",
"events_url": "https://api.github.com/users/atlasstrategic/events{/privacy}",
"followers_url": "https://api.github.com/users/atlasstrategic/followers",
"following_url": "https://api.github.com/users/atlasstrategic/following{/other_user}",
"gists_url": "https://api.github.com/users/atlasstrategic/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/atlasstrategic",
"id": 81103,
"login": "atlasstrategic",
"node_id": "MDQ6VXNlcjgxMTAz",
"organizations_url": "https://api.github.com/users/atlasstrategic/orgs",
"received_events_url": "https://api.github.com/users/atlasstrategic/received_events",
"repos_url": "https://api.github.com/users/atlasstrategic/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/atlasstrategic/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/atlasstrategic/subscriptions",
"type": "User",
"url": "https://api.github.com/users/atlasstrategic"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "e11d21",
"default": false,
"description": "Functionality that used ... | open | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 3 | 2019-02-22T09:59:59Z | 2020-12-20T16:10:43Z | null | NONE | null | #### Code to illustrate 0.23.4 versus 0.24.1
#### pandas 0.23.4
```python
import pandas as pd
columns = ["A", "B"]
pd.DataFrame(columns=columns).transpose().to_dict(orient="split")
# output
# {'index': ['A', 'B'], 'columns': [], 'data': [[], []]}
pd.DataFrame(columns=columns).transpose().values.tolist()
# output
# [[], []]
```
#### pandas 0.24.1
```python
import pandas as pd
columns = ["A", "B"]
pd.DataFrame(columns=columns).transpose().to_dict(orient="split")
# output not consistent with 0.23.4
# {'index': ['A', 'B'], 'columns': [], 'data': []}
pd.DataFrame(columns=columns).transpose().values.tolist()
# output is consistent with 0.23.4
# [[], []]
```
#### Problem description
After upgrading to Pandas 0.24.1, the expected output when doing a `transpose`, followed by a `to_dict` has changed. Before, an empty DataFrame was returning an empty list for each column (similar to `values.tolist()`) e.g. `'data': [[]. []]`. Now the output is `'data': []`.
#### Expected Output
Refer to code and output for `0.23.4` above.
#### Output of ``pd.show_versions()``
<details>
```
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Linux
OS-release: 4.15.0-45-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_ZA.UTF-8
LOCALE: en_ZA.UTF-8
pandas: 0.24.1
pytest: None
pip: 19.0.2
setuptools: 40.4.3
Cython: None
numpy: 1.14.0
scipy: None
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.7.3
pytz: 2018.3
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: 2.5.12
xlrd: None
xlwt: None
xlsxwriter: 1.1.2
lxml.etree: None
bs4: 4.7.1
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: 2.7.7 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
```
</details>
| {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25408/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25408/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25409 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25409/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25409/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25409/events | https://github.com/pandas-dev/pandas/issues/25409 | 413,371,347 | MDU6SXNzdWU0MTMzNzEzNDc= | 25,409 | Factorize don't preserve na_sentinel values when sort is specified | {
"avatar_url": "https://avatars.githubusercontent.com/u/1908664?v=4",
"events_url": "https://api.github.com/users/rahulnair23/events{/privacy}",
"followers_url": "https://api.github.com/users/rahulnair23/followers",
"following_url": "https://api.github.com/users/rahulnair23/following{/other_user}",
"gists_url": "https://api.github.com/users/rahulnair23/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/rahulnair23",
"id": 1908664,
"login": "rahulnair23",
"node_id": "MDQ6VXNlcjE5MDg2NjQ=",
"organizations_url": "https://api.github.com/users/rahulnair23/orgs",
"received_events_url": "https://api.github.com/users/rahulnair23/received_events",
"repos_url": "https://api.github.com/users/rahulnair23/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/rahulnair23/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rahulnair23/subscriptions",
"type": "User",
"url": "https://api.github.com/users/rahulnair23"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "eb6420",
"default": false,
"description": "Non-arithmetic algos: va... | closed | false | null | [] | {
"closed_at": "2019-03-13T21:33:10Z",
"closed_issues": 127,
"created_at": "2019-01-30T14:20:23Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1312546?v=4",
"events_url": "https://api.github.com/users/TomAugspurger/events{/privacy}",
"followers_url": "https://api.github.com/users/TomAugspurger/followers",
"following_url": "https://api.github.com/users/TomAugspurger/following{/other_user}",
"gists_url": "https://api.github.com/users/TomAugspurger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TomAugspurger",
"id": 1312546,
"login": "TomAugspurger",
"node_id": "MDQ6VXNlcjEzMTI1NDY=",
"organizations_url": "https://api.github.com/users/TomAugspurger/orgs",
"received_events_url": "https://api.github.com/users/TomAugspurger/received_events",
"repos_url": "https://api.github.com/users/TomAugspurger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TomAugspurger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TomAugspurger"
},
"description": "on-merge: backport to 0.24.x",
"due_on": "2019-03-15T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/63",
"id": 4015221,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63/labels",
"node_id": "MDk6TWlsZXN0b25lNDAxNTIyMQ==",
"number": 63,
"open_issues": 0,
"state": "closed",
"title": "0.24.2",
"updated_at": "2019-03-13T21:33:10Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/63"
} | 7 | 2019-02-22T11:53:45Z | 2019-03-12T20:25:37Z | 2019-03-12T20:25:26Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
print("\nWithout sort:")
labels, uniques = pd.factorize(['b', None, 'a', 'c', 'b'], na_sentinel=100)
print("Labels: {}".format(labels))
print("Uniques: {}".format(uniques))
print("\nWith sort:")
labels, uniques = pd.factorize(['b', None, 'a', 'c', 'b'], na_sentinel=100, sort=True)
print("Labels: {}".format(labels))
print("Uniques: {}".format(uniques))
Without sort:
Labels: [ 0 100 1 2 0]
Uniques: ['b', 'a', 'c']
With sort:
Labels: [ 1 4556668520 0 2 1]
Uniques: ['a', 'b', 'c']
```
#### Problem description
Calls to `factorize` with a na_sentinel value set and `sort=True` appears not to respect the na_sentinel values specified.
#### Expected Output
```
Without sort:
Labels: [ 0 100 1 2 0]
Uniques: ['b', 'a', 'c']
With sort:
Labels: [ 1 100 0 2 1]
Uniques: ['a', 'b', 'c']
```
#### Output of ``pd.show_versions()``
<details>
[paste the output of ``pd.show_versions()`` here below this line]
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.8.final.0
python-bits: 64
OS: Darwin
OS-release: 18.2.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_IE.UTF-8
LOCALE: en_IE.UTF-8
pandas: 0.24.1
pytest: None
pip: 18.1
setuptools: 40.6.3
Cython: None
numpy: 1.16.1
scipy: 1.2.0
pyarrow: None
xarray: None
IPython: 7.2.0
sphinx: None
patsy: None
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 3.0.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25409/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25409/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25410 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25410/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25410/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25410/events | https://github.com/pandas-dev/pandas/pull/25410 | 413,404,734 | MDExOlB1bGxSZXF1ZXN0MjU1Mzk1MzMz | 25,410 | DOC: Edited docstring of Interval | {
"avatar_url": "https://avatars.githubusercontent.com/u/11660522?v=4",
"events_url": "https://api.github.com/users/wdecoster/events{/privacy}",
"followers_url": "https://api.github.com/users/wdecoster/followers",
"following_url": "https://api.github.com/users/wdecoster/following{/other_user}",
"gists_url": "https://api.github.com/users/wdecoster/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/wdecoster",
"id": 11660522,
"login": "wdecoster",
"node_id": "MDQ6VXNlcjExNjYwNTIy",
"organizations_url": "https://api.github.com/users/wdecoster/orgs",
"received_events_url": "https://api.github.com/users/wdecoster/received_events",
"repos_url": "https://api.github.com/users/wdecoster/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/wdecoster/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/wdecoster/subscriptions",
"type": "User",
"url": "https://api.github.com/users/wdecoster"
} | [
{
"color": "3465A4",
"default": false,
"description": null,
"id": 134699,
"name": "Docs",
"node_id": "MDU6TGFiZWwxMzQ2OTk=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Docs"
}
] | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "",
"due_on": "2019-07-01T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/61",
"id": 3759483,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61/labels",
"node_id": "MDk6TWlsZXN0b25lMzc1OTQ4Mw==",
"number": 61,
"open_issues": 0,
"state": "closed",
"title": "0.25.0",
"updated_at": "2020-01-02T15:10:40Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/61"
} | 3 | 2019-02-22T13:31:11Z | 2019-02-22T15:14:22Z | 2019-02-22T15:13:31Z | CONTRIBUTOR | null | The docstring contained a repeated segment, which I removed. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25410/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25410/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/25410.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/25410",
"merged_at": "2019-02-22T15:13:31Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/25410.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/25410"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/25411 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25411/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25411/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25411/events | https://github.com/pandas-dev/pandas/issues/25411 | 413,405,973 | MDU6SXNzdWU0MTM0MDU5NzM= | 25,411 | Unexpected result with Resampler.apply for non-naive time index | {
"avatar_url": "https://avatars.githubusercontent.com/u/1150402?v=4",
"events_url": "https://api.github.com/users/kdebrab/events{/privacy}",
"followers_url": "https://api.github.com/users/kdebrab/followers",
"following_url": "https://api.github.com/users/kdebrab/following{/other_user}",
"gists_url": "https://api.github.com/users/kdebrab/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/kdebrab",
"id": 1150402,
"login": "kdebrab",
"node_id": "MDQ6VXNlcjExNTA0MDI=",
"organizations_url": "https://api.github.com/users/kdebrab/orgs",
"received_events_url": "https://api.github.com/users/kdebrab/received_events",
"repos_url": "https://api.github.com/users/kdebrab/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/kdebrab/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/kdebrab/subscriptions",
"type": "User",
"url": "https://api.github.com/users/kdebrab"
} | [
{
"color": "e10c02",
"default": false,
"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
},
{
"color": "AFEEEE",
"default": false,
"description": null,
"id": 211840,
... | open | false | null | [] | null | 5 | 2019-02-22T13:34:18Z | 2020-06-08T19:19:10Z | null | CONTRIBUTOR | null | When resampling a non-naive time series with a custom function (using apply or agg), an unexpected result is returned.
```python
import pandas as pd
def weighted_quantile(series, weights, q):
series = series.sort_values()
cumsum = weights.reindex(series.index).fillna(0).cumsum()
cutoff = cumsum.iloc[-1] * q
return series[cumsum >= cutoff].iloc[0]
times = pd.date_range('2017-6-23 18:00', periods=8, freq='15T', tz='UTC')
data = pd.Series([1., 1, 1, 1, 1, 2, 2, 0], index=times)
weights = pd.Series([160., 91, 65, 43, 24, 10, 1, 0], index=times)
data.resample('D').apply(weighted_quantile, weights=weights, q=0.5)
```
```
Out[2]:
2017-06-23 00:00:00+00:00 0.0
Freq: D, dtype: float64
```
#### Expected Output
The (single) value of the series should correspond with:
```python
weighted_quantile(data, weights=weights, q=0.5)
```
```
Out[3]: 1.0
```
One indeed gets this result when passing `data` and `weigths` with naive time index:
```python
times_naive = pd.date_range('2017-6-23 18:00', periods=8, freq='15T')
data = pd.Series([1., 1, 1, 1, 1, 2, 2, 0], index=times_naive)
weights = pd.Series([160., 91, 65, 43, 24, 10, 1, 0], index=times_naive)
data.resample('D').apply(weighted_quantile, weights=weights, q=0.5)
```
```
Out[4]:
2017-06-23 1.0
Freq: D, dtype: float64
```
But, as shown above, not when passing non-naive time series.
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.23.4
pytest: 4.2.1
pip: 19.0.2
setuptools: 39.0.1
Cython: 0.29.4
numpy: 1.16.0
scipy: 1.2.0
pyarrow: None
xarray: 0.11.3
IPython: 7.2.0
sphinx: None
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.9
blosc: None
bottleneck: 1.2.1
tables: None
numexpr: None
feather: None
matplotlib: 2.2.3
openpyxl: 2.5.12
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml: 4.3.0
bs4: 4.6.1
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
</details>
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25411/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25411/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/25412 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25412/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25412/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25412/events | https://github.com/pandas-dev/pandas/issues/25412 | 413,449,759 | MDU6SXNzdWU0MTM0NDk3NTk= | 25,412 | pd.concat doesn't preserve Categorical dtype when the categorical columns is missing in one of the DataFrames. | {
"avatar_url": "https://avatars.githubusercontent.com/u/4789087?v=4",
"events_url": "https://api.github.com/users/zachmoshe/events{/privacy}",
"followers_url": "https://api.github.com/users/zachmoshe/followers",
"following_url": "https://api.github.com/users/zachmoshe/following{/other_user}",
"gists_url": "https://api.github.com/users/zachmoshe/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/zachmoshe",
"id": 4789087,
"login": "zachmoshe",
"node_id": "MDQ6VXNlcjQ3ODkwODc=",
"organizations_url": "https://api.github.com/users/zachmoshe/orgs",
"received_events_url": "https://api.github.com/users/zachmoshe/received_events",
"repos_url": "https://api.github.com/users/zachmoshe/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/zachmoshe/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/zachmoshe/subscriptions",
"type": "User",
"url": "https://api.github.com/users/zachmoshe"
} | [
{
"color": "02d7e1",
"default": false,
"description": "Concat, Merge/Join, Stack/Unstack, Explode",
"id": 13098779,
"name": "Reshaping",
"node_id": "MDU6TGFiZWwxMzA5ODc3OQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Reshaping"
},
{
"color": "e11d21",
"de... | open | false | null | [] | {
"closed_at": null,
"closed_issues": 786,
"created_at": "2015-01-13T10:53:19Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",
"following_url": "https://api.github.com/users/jreback/following{/other_user}",
"gists_url": "https://api.github.com/users/jreback/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jreback",
"id": 953992,
"login": "jreback",
"node_id": "MDQ6VXNlcjk1Mzk5Mg==",
"organizations_url": "https://api.github.com/users/jreback/orgs",
"received_events_url": "https://api.github.com/users/jreback/received_events",
"repos_url": "https://api.github.com/users/jreback/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jreback/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jreback/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jreback"
},
"description": "Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.",
"due_on": null,
"html_url": "https://github.com/pandas-dev/pandas/milestone/32",
"id": 933188,
"labels_url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32/labels",
"node_id": "MDk6TWlsZXN0b25lOTMzMTg4",
"number": 32,
"open_issues": 1053,
"state": "open",
"title": "Contributions Welcome",
"updated_at": "2021-11-21T00:50:06Z",
"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/32"
} | 6 | 2019-02-22T15:19:30Z | 2021-06-27T18:32:43Z | null | NONE | null | ```python
a = pd.DataFrame({'f1': [1,2,3]})
b = pd.DataFrame({'f1': [2,3,1], 'f2': pd.Series([4,4,4]).astype('category')})
pd.concat((a,b), sort=True).dtypes
>> f1 int64
>> f2 object
>> dtype: object
```
#### Problem description
(Similar to #14016, not sure if it's caused by the same bug or another one. feel free to merge)
When concatenating two DataFrames where one has a categorical column that the other is missing, the result contains the categorical column as a 'object' (losing the "real" dtype).
If we were to fill the missing column with Nones (but with the same categorical dtype), the concatenation would keep the dtype.
In the previous example, adding:
```python
a['f2'] = pd.Series([None, None, None]).astype(b.dtypes['f2'])
```
before concatenating, will solve the problem.
I believe if a field is missing from one of the merged dataframes, a reasonable behavior would be to copy it and preserve its dtype.
#### Expected Output
Column 'f2' should be a categorical (same as b['f2']).
#### Output of ``pd.show_versions()``
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Darwin
OS-release: 18.2.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.23.0
pytest: None
pip: 10.0.1
setuptools: 39.0.1
Cython: None
numpy: 1.14.3
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: None
patsy: None
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: None
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 2.0.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: 0.9999999
sqlalchemy: 1.1.13
pymysql: None
psycopg2: 2.7.3.2 (dt dec pq3 ext lo64)
jinja2: 2.9.4
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
| {
"+1": 6,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 6,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25412/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25412/timeline | null | null | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.