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/11503 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11503/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11503/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11503/events | https://github.com/pandas-dev/pandas/issues/11503 | 114,515,313 | MDU6SXNzdWUxMTQ1MTUzMTM= | 11,503 | Pandas' read_excel, ExcelFile, failing to open some .xls files. | {
"avatar_url": "https://avatars.githubusercontent.com/u/105829?v=4",
"events_url": "https://api.github.com/users/jbwhit/events{/privacy}",
"followers_url": "https://api.github.com/users/jbwhit/followers",
"following_url": "https://api.github.com/users/jbwhit/following{/other_user}",
"gists_url": "https://api... | [
{
"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 | 25 | 2015-11-02T03:03:20Z | 2021-10-20T10:55:47Z | 2015-11-02T13:10:02Z | CONTRIBUTOR | null | I am trying to read in `.xls` files from [http://www.eia.gov/coal/data.cfm#production](http://www.eia.gov/coal/data.cfm#production) -- specifically the **Historical detailed coal production data (1983-2013)** `coalpublic2012.xls` file that's freely available via the dropdown. Pandas cannot read it.
In contrast, the f... | {
"+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/11503/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11503/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11504 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11504/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11504/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11504/events | https://github.com/pandas-dev/pandas/pull/11504 | 114,559,966 | MDExOlB1bGxSZXF1ZXN0NDk0MTE0NTE= | 11,504 | Fixed typos | {
"avatar_url": "https://avatars.githubusercontent.com/u/964251?v=4",
"events_url": "https://api.github.com/users/scari/events{/privacy}",
"followers_url": "https://api.github.com/users/scari/followers",
"following_url": "https://api.github.com/users/scari/following{/other_user}",
"gists_url": "https://api.gi... | [
{
"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": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 2 | 2015-11-02T09:45:26Z | 2015-11-02T11:32:44Z | 2015-11-02T10:06:53Z | CONTRIBUTOR | null | Thanks to pypi.python.org/pypi/misspellings
| {
"+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/11504/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11504/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11504.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11504",
"merged_at": "2015-11-02T10:06:53Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11504.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11504"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11505 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11505/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11505/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11505/events | https://github.com/pandas-dev/pandas/pull/11505 | 114,702,604 | MDExOlB1bGxSZXF1ZXN0NDk0OTc3OTc= | 11,505 | DOC: Link to IO Tools docs | {
"avatar_url": "https://avatars.githubusercontent.com/u/7116641?v=4",
"events_url": "https://api.github.com/users/randallpittman/events{/privacy}",
"followers_url": "https://api.github.com/users/randallpittman/followers",
"following_url": "https://api.github.com/users/randallpittman/following{/other_user}",
... | [
{
"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": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 1 | 2015-11-02T22:52:33Z | 2015-11-13T17:17:46Z | 2015-11-13T17:17:46Z | CONTRIBUTOR | null | Addressing issue #11464 - Provide links to help for iterator and chunksize usage (since there's no docstring help for TextFileReader).
| {
"+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/11505/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11505/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11505.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11505",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11505.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11505"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11506 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11506/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11506/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11506/events | https://github.com/pandas-dev/pandas/issues/11506 | 114,711,116 | MDU6SXNzdWUxMTQ3MTExMTY= | 11,506 | BLD: add numpy x.x to conda recipe | {
"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://... | [
{
"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"
}
] | closed | false | {
"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://... | [
{
"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_u... | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 1 | 2015-11-02T23:48:55Z | 2015-11-13T22:22:28Z | 2015-11-13T22:22:28Z | CONTRIBUTOR | null | this makes the conda builds use the proper numpy build
e.g.
`conda build conda.recipe --python 3.5 --numpy 1.9`
will then generate
`pandas-v0.17.0-np19py35` which is what we want
| {
"+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/11506/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11506/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11507 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11507/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11507/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11507/events | https://github.com/pandas-dev/pandas/pull/11507 | 114,766,613 | MDExOlB1bGxSZXF1ZXN0NDk1Mjg1Njg= | 11,507 | BUG: GH10355 groupby std() doesnt sqrt grouping cols | {
"avatar_url": "https://avatars.githubusercontent.com/u/7350567?v=4",
"events_url": "https://api.github.com/users/henrystokeley/events{/privacy}",
"followers_url": "https://api.github.com/users/henrystokeley/followers",
"following_url": "https://api.github.com/users/henrystokeley/following{/other_user}",
"gi... | [
{
"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": "729FCF",
"default": false,
"description": null,
"id": 233160,
... | closed | false | null | [] | null | 11 | 2015-11-03T08:17:46Z | 2019-02-14T05:24:07Z | 2016-01-06T17:20:51Z | NONE | null | New attempt at #10355 Hopefully should address the issues raised in #11300
Previously, grouping columns were square rooted when as_index=False
We now test whether the grouping keys are in the columns, and
if so don't square root those columns.
Note that we squash TypeError which occurs when self.keys is not
Hashable,... | {
"+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/11507/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11507/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11507.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11507",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11507.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11507"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11508 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11508/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11508/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11508/events | https://github.com/pandas-dev/pandas/issues/11508 | 114,771,411 | MDU6SXNzdWUxMTQ3NzE0MTE= | 11,508 | read_csv skiprows not always 0-indexed | {
"avatar_url": "https://avatars.githubusercontent.com/u/504681?v=4",
"events_url": "https://api.github.com/users/joristork/events{/privacy}",
"followers_url": "https://api.github.com/users/joristork/followers",
"following_url": "https://api.github.com/users/joristork/following{/other_user}",
"gists_url": "ht... | [] | closed | false | null | [] | null | 2 | 2015-11-03T09:01:24Z | 2019-04-03T17:46:44Z | 2015-11-03T09:03:54Z | NONE | null | Indexing is inconsistent in Pandas v.0.16.2 `read_csv`'s `skiprows` option. For example:
Given the csv `temp.txt`:
```
a,b,c
1,2,3
4,5,6
7,8,9
```
this happens:
```
In [76]: pd.read_csv('temp.txt', dtype=str, skiprows=[1,2])
Out[76]:
a b c
0 7 8 9
In [77]: pd.read_csv('temp.txt', dtype=str, skiprows=[0,1])... | {
"+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/11508/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11508/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11509 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11509/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11509/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11509/events | https://github.com/pandas-dev/pandas/issues/11509 | 114,802,655 | MDU6SXNzdWUxMTQ4MDI2NTU= | 11,509 | Why pandas act different when I use just python? | {
"avatar_url": "https://avatars.githubusercontent.com/u/4588429?v=4",
"events_url": "https://api.github.com/users/xmduhan/events{/privacy}",
"followers_url": "https://api.github.com/users/xmduhan/followers",
"following_url": "https://api.github.com/users/xmduhan/following{/other_user}",
"gists_url": "https:/... | [] | 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/jorisva... | 2 | 2015-11-03T12:10:23Z | 2015-11-03T13:30:28Z | 2015-11-03T13:29:56Z | NONE | null | ## I write a short program like this:
# coding: utf-8
from pandas import DataFrame
from string import letters
df = DataFrame(
{'a': range(0, 10), 'b': range(10, 20), 'c': range(20, 30)},
index=list(letters[:10])
)
rec = df.ix['A']
rec['a'] = 1
print df
## When I run it with ipython, everything is fine!
## $ ... | {
"+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/11509/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11509/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11510 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11510/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11510/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11510/events | https://github.com/pandas-dev/pandas/issues/11510 | 114,832,948 | MDU6SXNzdWUxMTQ4MzI5NDg= | 11,510 | create DataFrame from dict with different data type, cat't change value then. | {
"avatar_url": "https://avatars.githubusercontent.com/u/4588429?v=4",
"events_url": "https://api.github.com/users/xmduhan/events{/privacy}",
"followers_url": "https://api.github.com/users/xmduhan/followers",
"following_url": "https://api.github.com/users/xmduhan/following{/other_user}",
"gists_url": "https:/... | [
{
"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 | 2015-11-03T14:49:48Z | 2015-11-04T00:52:48Z | 2015-11-03T15:02:24Z | NONE | null | ## I try to make a DataFrame from a dict, and need to change it's value then. I find when dict as different data type value, It does't work.
# dict has same data type, It works.
from pandas import DataFrame
a = {'a': 1, 'b': 1}
df = DataFrame([a])
print df
rec = df.ix[0]
rec['a'] = 100
print df
out:
a b
0 1 1... | {
"+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/11510/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11510/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11511 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11511/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11511/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11511/events | https://github.com/pandas-dev/pandas/issues/11511 | 114,858,049 | MDU6SXNzdWUxMTQ4NTgwNDk= | 11,511 | Cannot write large DF to HDF | {
"avatar_url": "https://avatars.githubusercontent.com/u/5585221?v=4",
"events_url": "https://api.github.com/users/bashtage/events{/privacy}",
"followers_url": "https://api.github.com/users/bashtage/followers",
"following_url": "https://api.github.com/users/bashtage/following{/other_user}",
"gists_url": "http... | [
{
"color": "5319e7",
"default": false,
"description": "read_hdf, HDFStore",
"id": 47229190,
"name": "IO HDF5",
"node_id": "MDU6TGFiZWw0NzIyOTE5MA==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20HDF5"
},
{
"color": "0052cc",
"default": false,
"descri... | closed | false | null | [] | null | 3 | 2015-11-03T16:44:38Z | 2015-11-05T13:54:38Z | 2015-11-05T12:53:59Z | CONTRIBUTOR | null | I am seeing soem wrong-size argument when trying to write a large-sized DF to HDF.
``` python
import numpy as np
import pandas as pd
def generate_large_df(n,m):
cols = {}
for i in range(m):
if i % 3 == 0:
temp = np.random.randn(n)
temp *= 2**32
temp[n//2:] *= 2**32
... | {
"+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/11511/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11511/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11512/events | https://github.com/pandas-dev/pandas/issues/11512 | 114,877,651 | MDU6SXNzdWUxMTQ4Nzc2NTE= | 11,512 | drop_duplicates() is dropping more than just duplicates in 0.17.0 | {
"avatar_url": "https://avatars.githubusercontent.com/u/4662082?v=4",
"events_url": "https://api.github.com/users/andersonjacob/events{/privacy}",
"followers_url": "https://api.github.com/users/andersonjacob/followers",
"following_url": "https://api.github.com/users/andersonjacob/following{/other_user}",
"gi... | [
{
"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": "009800",
"de... | closed | false | null | [] | null | 1 | 2015-11-03T18:17:58Z | 2015-11-03T18:49:09Z | 2015-11-03T18:48:53Z | NONE | null | When I upgraded from 0.16.2 to 0.17.0, I was met with a nasty surprise when dropping duplicates. It looks like DataFrame.drop_duplicates() is not working as I would expect it to based on the previous version. I have a dataframe
```
test_ids = df['test_id'].unique()
print('N test ids: {}'.format(test_ids.shape))
prin... | {
"+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/11512/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11512/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11513/events | https://github.com/pandas-dev/pandas/issues/11513 | 114,898,942 | MDU6SXNzdWUxMTQ4OTg5NDI= | 11,513 | Idea: Improving Bootstrap | {
"avatar_url": "https://avatars.githubusercontent.com/u/5094088?v=4",
"events_url": "https://api.github.com/users/chrisjluc/events{/privacy}",
"followers_url": "https://api.github.com/users/chrisjluc/followers",
"following_url": "https://api.github.com/users/chrisjluc/following{/other_user}",
"gists_url": "h... | [
{
"color": "8AE234",
"default": false,
"description": null,
"id": 2413328,
"name": "Visualization",
"node_id": "MDU6TGFiZWwyNDEzMzI4",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Visualization"
}
] | closed | false | null | [] | null | 2 | 2015-11-03T20:08:57Z | 2015-11-05T12:55:03Z | 2015-11-05T12:54:46Z | NONE | null | I think we could improve bootstrap functionality because what we have [now](https://github.com/pydata/pandas/blob/master/pandas/tools/plotting.py#L577) is limited in terms of customization and functionality. Right now we only calculate mean, median and mid ranges and basically plot them all in the same figure.
It wou... | {
"+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/11513/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11513/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11514 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11514/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11514/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11514/events | https://github.com/pandas-dev/pandas/issues/11514 | 114,903,777 | MDU6SXNzdWUxMTQ5MDM3Nzc= | 11,514 | Mixing CustomBusinessDay and BusinessHours Classes | {
"avatar_url": "https://avatars.githubusercontent.com/u/12532565?v=4",
"events_url": "https://api.github.com/users/r-pluss/events{/privacy}",
"followers_url": "https://api.github.com/users/r-pluss/followers",
"following_url": "https://api.github.com/users/r-pluss/following{/other_user}",
"gists_url": "https:... | [
{
"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": "0052cc",
"default": false,
"description": "DateOffs... | closed | false | null | [] | {
"closed_at": "2016-05-05T00:34:40Z",
"closed_issues": 306,
"created_at": "2016-02-08T15:29:59Z",
"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/jr... | 1 | 2015-11-03T20:36:55Z | 2016-04-10T22:12:08Z | 2016-04-10T22:12:08Z | NONE | null | Is it currently possible to combine the CustomBusinessDay and BusinessHour classes in any way?
My use-case is that I want to be able to create a SubClass of BusinessHour that would skip over all time occurring in the 'holidays' or outside the 'weekmask' defined within a CustomBusinessDay instance. This would be incred... | {
"+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/11514/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11514/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11515 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11515/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11515/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11515/events | https://github.com/pandas-dev/pandas/issues/11515 | 114,947,586 | MDU6SXNzdWUxMTQ5NDc1ODY= | 11,515 | "display.width" should default to 'None' | {
"avatar_url": "https://avatars.githubusercontent.com/u/778194?v=4",
"events_url": "https://api.github.com/users/bear24rw/events{/privacy}",
"followers_url": "https://api.github.com/users/bear24rw/followers",
"following_url": "https://api.github.com/users/bear24rw/following{/other_user}",
"gists_url": "https... | [
{
"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"
},
{
"color": "207de... | 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",
... | 14 | 2015-11-04T01:19:49Z | 2017-07-19T16:58:36Z | 2017-07-19T16:58:36Z | NONE | null | What is the reasoning for defaulting "display.width" to 80? Pandas knows the width of the terminal so why not default "display.width" to 'None' and let Pandas wrap to the terminal width by default?
| {
"+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/11515/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11515/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11516 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11516/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11516/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11516/events | https://github.com/pandas-dev/pandas/issues/11516 | 115,043,521 | MDU6SXNzdWUxMTUwNDM1MjE= | 11,516 | ``idxmax()`` fails for string type | {
"avatar_url": "https://avatars.githubusercontent.com/u/781659?v=4",
"events_url": "https://api.github.com/users/jakevdp/events{/privacy}",
"followers_url": "https://api.github.com/users/jakevdp/followers",
"following_url": "https://api.github.com/users/jakevdp/following{/other_user}",
"gists_url": "https://... | [
{
"color": "AD7FA8",
"default": false,
"description": null,
"id": 35818298,
"name": "API Design",
"node_id": "MDU6TGFiZWwzNTgxODI5OA==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/API%20Design"
},
{
"color": "009800",
"default": false,
"description": "D... | closed | false | null | [] | null | 2 | 2015-11-04T12:33:37Z | 2015-11-04T12:55:58Z | 2015-11-04T12:55:13Z | CONTRIBUTOR | null | While it's possible to find the `max` of a Series containing strings, it's not possible to find the `idxmax`:
```
>>> s = pd.Series(list('ABCDEFGHIJKLMNOPQRSTUVWXYZ'))
>>> s.max()
'Z'
>>> s.idxmax()
---------------------------------------------------------------------------
ValueError T... | {
"+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/11516/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11516/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11517 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11517/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11517/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11517/events | https://github.com/pandas-dev/pandas/issues/11517 | 115,106,890 | MDU6SXNzdWUxMTUxMDY4OTA= | 11,517 | df.describe() clobbers columns.names | {
"avatar_url": "https://avatars.githubusercontent.com/u/2701562?v=4",
"events_url": "https://api.github.com/users/dragoljub/events{/privacy}",
"followers_url": "https://api.github.com/users/dragoljub/followers",
"following_url": "https://api.github.com/users/dragoljub/following{/other_user}",
"gists_url": "h... | [
{
"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 | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 2 | 2015-11-04T17:37:52Z | 2015-11-10T02:27:58Z | 2015-11-10T02:27:58Z | NONE | null | I recently migrated some of my code to Pandas 0.17.0. I found that the df.describe() method is clobbering index names when used after a transpose. Here I'm just using transpose as an easy way to create multi-index column names.
Pandas 0.17.0
Numpy 1.9.2
```
import pandas as pd
import numpy as np
df = pd.DataFrame({'... | {
"+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/11517/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11517/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11518 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11518/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11518/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11518/events | https://github.com/pandas-dev/pandas/pull/11518 | 115,141,659 | MDExOlB1bGxSZXF1ZXN0NDk3NDE5MDg= | 11,518 | fix _is_view for multi-block frames | {
"avatar_url": "https://avatars.githubusercontent.com/u/9683693?v=4",
"events_url": "https://api.github.com/users/nickeubank/events{/privacy}",
"followers_url": "https://api.github.com/users/nickeubank/followers",
"following_url": "https://api.github.com/users/nickeubank/following{/other_user}",
"gists_url":... | [] | closed | false | null | [] | null | 3 | 2015-11-04T20:37:39Z | 2015-11-04T21:21:08Z | 2015-11-04T20:53:02Z | CONTRIBUTOR | null | _is_view previously only testing whether first block was a view, when should return `_is_view = True` if _any_ block is a view.
| {
"+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/11518/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11518/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11518.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11518",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11518.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11518"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11519 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11519/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11519/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11519/events | https://github.com/pandas-dev/pandas/issues/11519 | 115,167,793 | MDU6SXNzdWUxMTUxNjc3OTM= | 11,519 | df.join(df2, how='right') TypeError: Argument 'left' has incorrect type (expected numpy.ndarray, got Int64Index) | {
"avatar_url": "https://avatars.githubusercontent.com/u/2701562?v=4",
"events_url": "https://api.github.com/users/dragoljub/events{/privacy}",
"followers_url": "https://api.github.com/users/dragoljub/followers",
"following_url": "https://api.github.com/users/dragoljub/following{/other_user}",
"gists_url": "h... | [
{
"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": "02d7e1",
"default": false,
"description": "Concat, Merge/Join, Stac... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 2 | 2015-11-04T22:52:03Z | 2015-11-11T03:23:53Z | 2015-11-11T03:23:52Z | NONE | null | I have found that 'right' joins on index values raise TypeEerror: Argument 'left' has incorrect type (expected numpy.ndarray, got Int64Index).
Both index types are the same Int64Index index. This works in pandas 0.13.1.
Pandas: 0.17.0
Numpy: 1.9.2
``` python
import pandas as pd
import numpy as np
df = pd.DataFrame... | {
"+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/11519/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11519/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11520 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11520/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11520/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11520/events | https://github.com/pandas-dev/pandas/issues/11520 | 115,173,328 | MDU6SXNzdWUxMTUxNzMzMjg= | 11,520 | df.plot(ax=ax) AttributeError: 'Axes' object has no attribute 'is_first_col' | {
"avatar_url": "https://avatars.githubusercontent.com/u/2701562?v=4",
"events_url": "https://api.github.com/users/dragoljub/events{/privacy}",
"followers_url": "https://api.github.com/users/dragoljub/followers",
"following_url": "https://api.github.com/users/dragoljub/following{/other_user}",
"gists_url": "h... | [
{
"color": "8AE234",
"default": false,
"description": null,
"id": 2413328,
"name": "Visualization",
"node_id": "MDU6TGFiZWwyNDEzMzI4",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Visualization"
}
] | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 11 | 2015-11-04T23:26:18Z | 2015-11-15T20:49:53Z | 2015-11-15T18:37:03Z | NONE | null | When attempting to use the Pandas 0.17.0 plot method to target plotting on an external axes: AttributeError: 'Axes' object has no attribute 'is_first_col'.
Pandas: 0.17.0
Numpy: 1.9.2
Matplotlib: 1.5.0
``` python
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
df = pd.DataFrame({'A' : ['... | {
"+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/11520/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11520/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11521 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11521/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11521/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11521/events | https://github.com/pandas-dev/pandas/issues/11521 | 115,190,574 | MDU6SXNzdWUxMTUxOTA1NzQ= | 11,521 | psycopg2 connection can be left idle in transaction | {
"avatar_url": "https://avatars.githubusercontent.com/u/8561824?v=4",
"events_url": "https://api.github.com/users/andy-d/events{/privacy}",
"followers_url": "https://api.github.com/users/andy-d/followers",
"following_url": "https://api.github.com/users/andy-d/following{/other_user}",
"gists_url": "https://ap... | [
{
"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": "to_sql, ... | open | false | null | [] | null | 8 | 2015-11-05T01:40:15Z | 2020-05-16T03:44:09Z | null | NONE | null | repro:
(1) make a psycopg2 conn
(2) make a pandas df
(3) call df.read_sql_query("SELECT pg_sleep(1000);", conn)
(4) kill the terminal
actual: connection on backend is left hanging as idle in transaction
| {
"+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/11521/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11521/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11522 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11522/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11522/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11522/events | https://github.com/pandas-dev/pandas/issues/11522 | 115,227,311 | MDU6SXNzdWUxMTUyMjczMTE= | 11,522 | read_sql: TypeError: Argument 'rows' has incorrect type | {
"avatar_url": "https://avatars.githubusercontent.com/u/9269985?v=4",
"events_url": "https://api.github.com/users/PetitLepton/events{/privacy}",
"followers_url": "https://api.github.com/users/PetitLepton/followers",
"following_url": "https://api.github.com/users/PetitLepton/following{/other_user}",
"gists_ur... | [
{
"color": "5319e7",
"default": false,
"description": "to_sql, read_sql, read_sql_query",
"id": 47232590,
"name": "IO SQL",
"node_id": "MDU6TGFiZWw0NzIzMjU5MA==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20SQL"
}
] | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 5 | 2015-11-05T07:49:19Z | 2015-12-19T12:58:19Z | 2015-12-19T12:58:09Z | CONTRIBUTOR | null | Hi,
I encountered a problem when using read_sql with a remote mySQL database.
After loading the modules,
``` python
import pymysql
import pandas as pd
import sqlalchemy
```
I create both a `pymysql` connector and a `sqlalchemy` engine with `pymysql` for the same database.
``` python
connector = pymysql.connect(...)... | {
"+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/11522/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11522/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11523 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11523/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11523/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11523/events | https://github.com/pandas-dev/pandas/issues/11523 | 115,255,790 | MDU6SXNzdWUxMTUyNTU3OTA= | 11,523 | read_csv() does not support soft link? | {
"avatar_url": "https://avatars.githubusercontent.com/u/6040760?v=4",
"events_url": "https://api.github.com/users/ethanluoyc/events{/privacy}",
"followers_url": "https://api.github.com/users/ethanluoyc/followers",
"following_url": "https://api.github.com/users/ethanluoyc/following{/other_user}",
"gists_url":... | [
{
"color": "5319e7",
"default": false,
"description": "read_csv, to_csv",
"id": 47229171,
"name": "IO CSV",
"node_id": "MDU6TGFiZWw0NzIyOTE3MQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20CSV"
},
{
"color": "0052cc",
"default": false,
"descriptio... | closed | false | null | [] | null | 1 | 2015-11-05T10:37:09Z | 2015-11-05T12:46:46Z | 2015-11-05T12:46:22Z | CONTRIBUTOR | null | I was trying to read a soft link to a csv file but failed.
Is this the expected behavior? Sometimes working with data it would be more convenient if I can use a soft link instead of the real file path.
| {
"+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/11523/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11523/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11524/events | https://github.com/pandas-dev/pandas/issues/11524 | 115,260,812 | MDU6SXNzdWUxMTUyNjA4MTI= | 11,524 | BUG: pandas std broken, erratic behavior | {
"avatar_url": "https://avatars.githubusercontent.com/u/8461039?v=4",
"events_url": "https://api.github.com/users/Qu-Bit/events{/privacy}",
"followers_url": "https://api.github.com/users/Qu-Bit/followers",
"following_url": "https://api.github.com/users/Qu-Bit/following{/other_user}",
"gists_url": "https://ap... | [
{
"color": "006b75",
"default": false,
"description": "Arithmetic, Comparison, and Logical operations",
"id": 47223669,
"name": "Numeric Operations",
"node_id": "MDU6TGFiZWw0NzIyMzY2OQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Numeric%20Operations"
}
] | closed | false | null | [] | null | 2 | 2015-11-05T11:03:46Z | 2015-11-05T12:43:09Z | 2015-11-05T12:43:03Z | NONE | null | I seem to have encountered a **bug** while using
_DataFrame.apply(np.std)_ or _DF.groupby.agg(np.std)_
**tested on:**
- debian 7.9 (wheezy), pandas version: 0.16.2.dev
- ubuntu 15.10, pandas version: 0.15.0
- _more version details_ for the tested snippets _below_
**test code:**
``` python
import numpy as np
impo... | {
"+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/11524/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11524/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11525/events | https://github.com/pandas-dev/pandas/issues/11525 | 115,303,694 | MDU6SXNzdWUxMTUzMDM2OTQ= | 11,525 | Behavior change in indexing using ix in 0.17.0 | {
"avatar_url": "https://avatars.githubusercontent.com/u/1461453?v=4",
"events_url": "https://api.github.com/users/ankurankan/events{/privacy}",
"followers_url": "https://api.github.com/users/ankurankan/followers",
"following_url": "https://api.github.com/users/ankurankan/following{/other_user}",
"gists_url":... | [
{
"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": "e102d8",
"default": false,
"description": "Unexpected or buggy dtyp... | closed | false | null | [] | null | 1 | 2015-11-05T15:07:58Z | 2015-11-05T15:20:58Z | 2015-11-05T15:20:37Z | NONE | null | I am getting an error when indexing by comparing tuples:
``` python
In [13]: df = pd.DataFrame([[('A', 1), ('B', 0)], [('A', 0), ('B', 1)], [('A', 1), ('B', 0)]], columns=['A', 'B'])
In [14]: df
Out[14]:
A B
0 (A, 1) (B, 0)
1 (A, 0) (B, 1)
2 (A, 1) (B, 0)
In [15]: df[df.A == ('A', 1)]
----------... | {
"+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/11525/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11525/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11526 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11526/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11526/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11526/events | https://github.com/pandas-dev/pandas/issues/11526 | 115,314,710 | MDU6SXNzdWUxMTUzMTQ3MTA= | 11,526 | read_stata issue | {
"avatar_url": "https://avatars.githubusercontent.com/u/1175927?v=4",
"events_url": "https://api.github.com/users/benjello/events{/privacy}",
"followers_url": "https://api.github.com/users/benjello/followers",
"following_url": "https://api.github.com/users/benjello/following{/other_user}",
"gists_url": "http... | [
{
"color": "0052cc",
"default": false,
"description": "pandas objects compatability with Numpy or Python functions",
"id": 76865106,
"name": "Compat",
"node_id": "MDU6TGFiZWw3Njg2NTEwNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Compat"
},
{
"color": "5319e... | closed | false | null | [] | {
"closed_at": "2016-10-03T08:52:13Z",
"closed_issues": 733,
"created_at": "2016-03-11T21:24:45Z",
"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/jr... | 11 | 2015-11-05T16:00:38Z | 2016-09-11T13:55:39Z | 2016-09-11T13:55:39Z | CONTRIBUTOR | null | I have the following error when reading a bunch of stata file
```
ValueError: Version of given Stata file is not 104, 105, 108, 113 (Stata 8/9), 114 (Stata 10/11), 115 (Stata 12), 117 (Stata 13), or 118 (Stata 14)
```
I do not know the way to check the stata version of the file but I suspect it is fairly recent.
Open... | {
"+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/11526/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11526/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11527 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11527/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11527/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11527/events | https://github.com/pandas-dev/pandas/pull/11527 | 115,415,083 | MDExOlB1bGxSZXF1ZXN0NDk5MDU3MTM= | 11,527 | Updated read_excel docstring to include parse_dates and date_parser | {
"avatar_url": "https://avatars.githubusercontent.com/u/130636?v=4",
"events_url": "https://api.github.com/users/litchfield/events{/privacy}",
"followers_url": "https://api.github.com/users/litchfield/followers",
"following_url": "https://api.github.com/users/litchfield/following{/other_user}",
"gists_url": ... | [
{
"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 | 2015-11-06T01:29:04Z | 2015-12-22T11:21:48Z | 2015-11-07T14:45:39Z | 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/11527/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11527/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11527.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11527",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11527.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11527"
} | |
https://api.github.com/repos/pandas-dev/pandas/issues/11528 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11528/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11528/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11528/events | https://github.com/pandas-dev/pandas/issues/11528 | 115,442,000 | MDU6SXNzdWUxMTU0NDIwMDA= | 11,528 | DataFrame.sum() behavior different in OSX | {
"avatar_url": "https://avatars.githubusercontent.com/u/6130504?v=4",
"events_url": "https://api.github.com/users/fernavid/events{/privacy}",
"followers_url": "https://api.github.com/users/fernavid/followers",
"following_url": "https://api.github.com/users/fernavid/following{/other_user}",
"gists_url": "http... | [
{
"color": "0052cc",
"default": false,
"description": "pandas objects compatability with Numpy or Python functions",
"id": 76865106,
"name": "Compat",
"node_id": "MDU6TGFiZWw3Njg2NTEwNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Compat"
}
] | closed | false | null | [] | null | 2 | 2015-11-06T06:03:41Z | 2015-11-07T15:11:45Z | 2015-11-06T06:22:27Z | NONE | null | When I run this code in OSX, I get 0's for rows that only have NaN in them:
```
import pandas as pd
import numpy as np
df = pd.DataFrame.from_dict({'AAPL': [1,2,3,4,5,6,np.nan,np.nan], 'Date': [1,2,3,4,5,6,7,8]})
df = df.set_index('Date')
df.sum(axis=1)
```
```
Date
1 1
2 2
3 3
4 4
5 5
6 6
7 0
8... | {
"+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/11528/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11528/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11529 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11529/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11529/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11529/events | https://github.com/pandas-dev/pandas/issues/11529 | 115,452,113 | MDU6SXNzdWUxMTU0NTIxMTM= | 11,529 | May a bug of `Series.plot` in pandas 0.17? | {
"avatar_url": "https://avatars.githubusercontent.com/u/511719?v=4",
"events_url": "https://api.github.com/users/Eastsun/events{/privacy}",
"followers_url": "https://api.github.com/users/Eastsun/followers",
"following_url": "https://api.github.com/users/Eastsun/following{/other_user}",
"gists_url": "https://... | [
{
"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": "8AE234",
"default": false,
"description": null,
"id": 2413328,
... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 1 | 2015-11-06T07:21:39Z | 2015-11-09T21:11:09Z | 2015-11-09T21:11:09Z | NONE | null | The origin post with pictures is on: http://stackoverflow.com/questions/33559772/is-this-a-bug-of-series-plot-in-pandas-0-17
I always use `ser.plot(xticks=range(0, len(ser), step), ..)` to plot figures with specified xticks. But it doesn't work anymore in pandas 0.17 when the Series with labels. Here are the codes:
`... | {
"+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/11529/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11529/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11530 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11530/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11530/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11530/events | https://github.com/pandas-dev/pandas/issues/11530 | 115,474,831 | MDU6SXNzdWUxMTU0NzQ4MzE= | 11,530 | Feature request : recognizable exception when calling read_csv on empty stream | {
"avatar_url": "https://avatars.githubusercontent.com/u/15686315?v=4",
"events_url": "https://api.github.com/users/windancert/events{/privacy}",
"followers_url": "https://api.github.com/users/windancert/followers",
"following_url": "https://api.github.com/users/windancert/following{/other_user}",
"gists_url"... | [
{
"color": "06909A",
"default": false,
"description": "IO issues that don't fit into a more specific label",
"id": 2301354,
"name": "IO Data",
"node_id": "MDU6TGFiZWwyMzAxMzU0",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20Data"
},
{
"color": "ffa0ff",
"... | closed | false | null | [] | null | 5 | 2015-11-06T10:05:34Z | 2015-11-08T19:49:14Z | 2015-11-07T15:18:11Z | NONE | null | For me it would be extremely helpful if the read_csv function would raise a recognizable exception when it is called with an empty stream. Currently I'm checking the type and message of the exception raised to guess if this situation has occurred. It would be less fragile it an exception of a specific type would be rai... | {
"+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/11530/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11530/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11531/events | https://github.com/pandas-dev/pandas/pull/11531 | 115,481,643 | MDExOlB1bGxSZXF1ZXN0NDk5Mzk1OTk= | 11,531 | BUG: fix incorrect xticklabels when specifying xticks (GH11529) | {
"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{/othe... | [
{
"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": "8AE234",
"default": false,
"description": null,
"id": 2413328,
... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 1 | 2015-11-06T10:50:01Z | 2015-11-09T21:11:09Z | 2015-11-09T21:11:09Z | MEMBER | null | Fixes #11529
@sinhrks in PR #10717 you moved the setting of the ticklabels from `_adorn_subplots` to its own function `_post_plot_logic_common`. But this is called before `_adorn_subplots`, and the specified `xticks` are only set in `_adorn_subplots`, so now it does not use the new xticks to determine the xticklabels.... | {
"+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/11531/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11531/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11531.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11531",
"merged_at": "2015-11-09T21:11:09Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11531.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11531"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11532 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11532/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11532/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11532/events | https://github.com/pandas-dev/pandas/issues/11532 | 115,488,605 | MDU6SXNzdWUxMTU0ODg2MDU= | 11,532 | BUG: read_csv causes segfault in v0.17.0 | {
"avatar_url": "https://avatars.githubusercontent.com/u/11033881?v=4",
"events_url": "https://api.github.com/users/Gunthard/events{/privacy}",
"followers_url": "https://api.github.com/users/Gunthard/followers",
"following_url": "https://api.github.com/users/Gunthard/following{/other_user}",
"gists_url": "htt... | [
{
"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 | 1 | 2015-11-06T11:30:45Z | 2015-11-06T14:02:30Z | 2015-11-06T14:02:19Z | NONE | null | ``` python
>>> import pandas
>>> import StringIO
>>> pandas.read_csv(StringIO.StringIO('test\n13324234234324234322332432432'))
```
## INSTALLED VERSIONS
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.19.0-32-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: de_D... | {
"+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/11532/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11532/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11533 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11533/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11533/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11533/events | https://github.com/pandas-dev/pandas/issues/11533 | 115,546,095 | MDU6SXNzdWUxMTU1NDYwOTU= | 11,533 | AbstractHolidayCalendar: suggestion to update documentation with correct usage | {
"avatar_url": "https://avatars.githubusercontent.com/u/5185401?v=4",
"events_url": "https://api.github.com/users/szeitlin/events{/privacy}",
"followers_url": "https://api.github.com/users/szeitlin/followers",
"following_url": "https://api.github.com/users/szeitlin/following{/other_user}",
"gists_url": "http... | [
{
"color": "AFEEEE",
"default": false,
"description": null,
"id": 211840,
"name": "Timeseries",
"node_id": "MDU6TGFiZWwyMTE4NDA=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Timeseries"
}
] | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 5 | 2015-11-06T17:00:14Z | 2015-11-14T14:57:23Z | 2015-11-14T14:57:23Z | NONE | null | ``` python
from pandas.tseries.holiday import Holiday, nearest_workday, get_calendar, HolidayCalendarFactory, USPresidentsDay, \
USMemorialDay, USLaborDay, USThanksgivingDay, AbstractHolidayCalendar, USFederalHolidayCalendar
from pandas.util.print_versions import show_versions
>>> show_versions()
INSTA... | {
"+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/11533/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11533/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11534 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11534/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11534/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11534/events | https://github.com/pandas-dev/pandas/pull/11534 | 115,551,688 | MDExOlB1bGxSZXF1ZXN0NDk5ODE4MTM= | 11,534 | PERF: Updated andrews_curves to use Numpy arrays for its samples | {
"avatar_url": "https://avatars.githubusercontent.com/u/3355128?v=4",
"events_url": "https://api.github.com/users/khs26/events{/privacy}",
"followers_url": "https://api.github.com/users/khs26/followers",
"following_url": "https://api.github.com/users/khs26/following{/other_user}",
"gists_url": "https://api.g... | [
{
"color": "8AE234",
"default": false,
"description": null,
"id": 2413328,
"name": "Visualization",
"node_id": "MDU6TGFiZWwyNDEzMzI4",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Visualization"
},
{
"color": "a10c02",
"default": false,
"description": "Me... | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 14 | 2015-11-06T17:32:41Z | 2015-11-24T14:55:23Z | 2015-11-24T13:11:20Z | CONTRIBUTOR | null | Hello,
I hope I've followed the contribution guidelines correctly, but am happy to change things if necessary.
I noticed that andrews_curves doesn't make use of numpy arrays in what I thought was a sensible use case: for generating its samples.
I added a test which uses variable length random data, so that I could c... | {
"+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/11534/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11534/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11534.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11534",
"merged_at": "2015-11-24T13:11:20Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11534.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11534"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11535 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11535/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11535/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11535/events | https://github.com/pandas-dev/pandas/pull/11535 | 115,552,747 | MDExOlB1bGxSZXF1ZXN0NDk5ODI1MTk= | 11,535 | improved cross-linking in computation.rst | {
"avatar_url": "https://avatars.githubusercontent.com/u/3819470?v=4",
"events_url": "https://api.github.com/users/cel4/events{/privacy}",
"followers_url": "https://api.github.com/users/cel4/followers",
"following_url": "https://api.github.com/users/cel4/following{/other_user}",
"gists_url": "https://api.gith... | [
{
"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": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 1 | 2015-11-06T17:39:29Z | 2015-11-07T09:40:44Z | 2015-11-07T09:40:13Z | CONTRIBUTOR | null | As discussed in _gitter_, I added a couple of cross-links to the _Computational tools_ section in 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/11535/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11535/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11535.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11535",
"merged_at": "2015-11-07T09:40:13Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11535.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11535"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11536 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11536/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11536/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11536/events | https://github.com/pandas-dev/pandas/issues/11536 | 115,616,459 | MDU6SXNzdWUxMTU2MTY0NTk= | 11,536 | DataFrame.plot(subplots=True) forces black-and-white mode regardless of other settings | {
"avatar_url": "https://avatars.githubusercontent.com/u/1315874?v=4",
"events_url": "https://api.github.com/users/dniku/events{/privacy}",
"followers_url": "https://api.github.com/users/dniku/followers",
"following_url": "https://api.github.com/users/dniku/following{/other_user}",
"gists_url": "https://api.g... | [
{
"color": "8AE234",
"default": false,
"description": null,
"id": 2413328,
"name": "Visualization",
"node_id": "MDU6TGFiZWwyNDEzMzI4",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Visualization"
}
] | closed | false | null | [] | null | 2 | 2015-11-07T00:13:49Z | 2015-11-07T20:23:48Z | 2015-11-07T00:25:06Z | NONE | null | ``` python
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randn(6, 4), index=pd.date_range('20150101', periods=6), columns=list('ABCD'))
plotters = [
"df.plot()",
"df.plot(legend=None)",
"df.plot(legend=None, subplots=True, layout=(2, 2))",
"df['A'].... | {
"+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/11536/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11536/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11537 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11537/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11537/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11537/events | https://github.com/pandas-dev/pandas/issues/11537 | 115,627,412 | MDU6SXNzdWUxMTU2Mjc0MTI= | 11,537 | BUG/API: Clarify the behaviour of fillna downcasting | {
"avatar_url": "https://avatars.githubusercontent.com/u/1696302?v=4",
"events_url": "https://api.github.com/users/sinhrks/events{/privacy}",
"followers_url": "https://api.github.com/users/sinhrks/followers",
"following_url": "https://api.github.com/users/sinhrks/following{/other_user}",
"gists_url": "https:/... | [
{
"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 | [] | {
"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",
... | 3 | 2015-11-07T02:47:02Z | 2021-04-20T06:02:50Z | null | MEMBER | null | From #11497. Found inconsistencyr regarding `fillna` downcasting.
I understand `fillna(downcast=None)` should downcast values appropriately. It doesn't work on `float` dtype.
```
# NG
pd.Series([1, 2, np.nan, 4]).fillna(3)
#0 1
#1 2
#2 3
#3 4
# dtype: float64
# OK
pd.Series([1, 2, np.nan, 4], dtype=objec... | {
"+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/11537/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11537/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11538 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11538/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11538/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11538/events | https://github.com/pandas-dev/pandas/pull/11538 | 115,654,498 | MDExOlB1bGxSZXF1ZXN0NTAwMzI1MDY= | 11,538 | Fix dictionary declaration to litteral | {
"avatar_url": "https://avatars.githubusercontent.com/u/300834?v=4",
"events_url": "https://api.github.com/users/remyleone/events{/privacy}",
"followers_url": "https://api.github.com/users/remyleone/followers",
"following_url": "https://api.github.com/users/remyleone/following{/other_user}",
"gists_url": "ht... | [
{
"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 | [] | null | 4 | 2015-11-07T09:40:31Z | 2015-11-20T18:42:15Z | 2015-11-20T18:42:15Z | 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/11538/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11538/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11538.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11538",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11538.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11538"
} | |
https://api.github.com/repos/pandas-dev/pandas/issues/11539 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11539/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11539/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11539/events | https://github.com/pandas-dev/pandas/pull/11539 | 115,654,509 | MDExOlB1bGxSZXF1ZXN0NTAwMzI1MTM= | 11,539 | Remove useless semicolon | {
"avatar_url": "https://avatars.githubusercontent.com/u/300834?v=4",
"events_url": "https://api.github.com/users/remyleone/events{/privacy}",
"followers_url": "https://api.github.com/users/remyleone/followers",
"following_url": "https://api.github.com/users/remyleone/following{/other_user}",
"gists_url": "ht... | [
{
"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": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 1 | 2015-11-07T09:40:57Z | 2015-11-07T14:34:13Z | 2015-11-07T14:34:10Z | 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/11539/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11539/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11539.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11539",
"merged_at": "2015-11-07T14:34:10Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11539.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11539"
} | |
https://api.github.com/repos/pandas-dev/pandas/issues/11540 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11540/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11540/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11540/events | https://github.com/pandas-dev/pandas/issues/11540 | 115,657,894 | MDU6SXNzdWUxMTU2NTc4OTQ= | 11,540 | Series.sort_values doesn't support a `by` keyword argument, but the documentation claims it does | {
"avatar_url": "https://avatars.githubusercontent.com/u/78236?v=4",
"events_url": "https://api.github.com/users/mineo/events{/privacy}",
"followers_url": "https://api.github.com/users/mineo/followers",
"following_url": "https://api.github.com/users/mineo/following{/other_user}",
"gists_url": "https://api.git... | [
{
"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": "2016-10-03T08:52:13Z",
"closed_issues": 733,
"created_at": "2016-03-11T21:24:45Z",
"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/jr... | 11 | 2015-11-07T10:32:26Z | 2019-08-01T17:19:50Z | 2017-10-31T19:58:48Z | CONTRIBUTOR | null | pandas: 0.17.0
``` python
import pandas
s = pandas.Series([1,2,3])
s.sort_values(by=["a"])
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-4-4a7ccaa074a5> in <module>()
1 import pandas
2 ... | {
"+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/11540/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11540/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11541 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11541/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11541/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11541/events | https://github.com/pandas-dev/pandas/pull/11541 | 115,658,365 | MDExOlB1bGxSZXF1ZXN0NTAwMzMzNjI= | 11,541 | DOC: Document the args of DataFrame.apply in the same order as in the signature | {
"avatar_url": "https://avatars.githubusercontent.com/u/78236?v=4",
"events_url": "https://api.github.com/users/mineo/events{/privacy}",
"followers_url": "https://api.github.com/users/mineo/followers",
"following_url": "https://api.github.com/users/mineo/following{/other_user}",
"gists_url": "https://api.git... | [
{
"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": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 1 | 2015-11-07T10:42:17Z | 2015-11-08T14:04:28Z | 2015-11-08T14:04:23Z | 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/11541/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11541/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11541.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11541",
"merged_at": "2015-11-08T14:04:23Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11541.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11541"
} | |
https://api.github.com/repos/pandas-dev/pandas/issues/11542 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11542/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11542/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11542/events | https://github.com/pandas-dev/pandas/pull/11542 | 115,658,595 | MDExOlB1bGxSZXF1ZXN0NTAwMzM0NjM= | 11,542 | DOC: Clean up colons in CONTRIBUTING.md | {
"avatar_url": "https://avatars.githubusercontent.com/u/78236?v=4",
"events_url": "https://api.github.com/users/mineo/events{/privacy}",
"followers_url": "https://api.github.com/users/mineo/followers",
"following_url": "https://api.github.com/users/mineo/following{/other_user}",
"gists_url": "https://api.git... | [
{
"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 | [] | null | 1 | 2015-11-07T10:49:42Z | 2015-11-07T14:49:56Z | 2015-11-07T14:49:52Z | CONTRIBUTOR | null | Turn RST's :: and other variants like ': :' or '<word> :' into simple
colons.
| {
"+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/11542/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11542/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11542.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11542",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11542.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11542"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11543 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11543/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11543/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11543/events | https://github.com/pandas-dev/pandas/issues/11543 | 115,668,991 | MDU6SXNzdWUxMTU2Njg5OTE= | 11,543 | Potential bug: drop_duplicates() and duplicated() fail for multiple integer columns | {
"avatar_url": "https://avatars.githubusercontent.com/u/13544755?v=4",
"events_url": "https://api.github.com/users/pekaalto/events{/privacy}",
"followers_url": "https://api.github.com/users/pekaalto/followers",
"following_url": "https://api.github.com/users/pekaalto/following{/other_user}",
"gists_url": "htt... | [
{
"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": "02d7e1",
"default": false,
"description": "Concat, Merge/Join, Stac... | closed | false | null | [] | null | 2 | 2015-11-07T14:08:35Z | 2015-11-07T14:17:21Z | 2015-11-07T14:12:28Z | NONE | null | It seems that drop_duplicates() and duplicated() methods are not working properly for large integer columns. Here is my example data frame http://pastebin.com/KVHxUpgz
```
import pandas as pd
pd.read_clipboard(delimiter=',')
r = x.duplicated(keep=False)
print(x[r])
```
This gives me:
x1 x2
... | {
"+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/11543/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11543/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11544 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11544/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11544/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11544/events | https://github.com/pandas-dev/pandas/issues/11544 | 115,670,757 | MDU6SXNzdWUxMTU2NzA3NTc= | 11,544 | ERR: raise NotImplemented error if keywords are passed to read_excel which are not supported | {
"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://... | [
{
"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": "bfe5... | closed | false | null | [] | {
"closed_at": "2017-05-06T10:20:19Z",
"closed_issues": 987,
"created_at": "2016-02-08T15:30:21Z",
"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/jr... | 3 | 2015-11-07T14:47:00Z | 2017-03-28T12:49:58Z | 2017-03-28T12:49:58Z | CONTRIBUTOR | null | xref #11527
xref #10001
currently we pass thru keywords to the `TextReader` but some of these don't do anything. Should catch and raise on these.
| {
"+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/11544/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11544/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11545 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11545/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11545/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11545/events | https://github.com/pandas-dev/pandas/pull/11545 | 115,695,832 | MDExOlB1bGxSZXF1ZXN0NTAwNDY3MTY= | 11,545 | BUG: df.join(df2, how='right') TypeError | {
"avatar_url": "https://avatars.githubusercontent.com/u/9929982?v=4",
"events_url": "https://api.github.com/users/nbonnotte/events{/privacy}",
"followers_url": "https://api.github.com/users/nbonnotte/followers",
"following_url": "https://api.github.com/users/nbonnotte/following{/other_user}",
"gists_url": "h... | [
{
"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 | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 7 | 2015-11-07T22:14:36Z | 2015-11-16T09:31:54Z | 2015-11-11T03:23:40Z | CONTRIBUTOR | null | Issue #11519
Somehow right joins had been forgotten in a previous bugfix. There were tests already written that should have seen the problem, but they had been commented out because the expected results were wrong, because of a subtlety in the way non-unique index are handled.
Thanks for the labels "difficulty novice... | {
"+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/11545/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11545/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11545.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11545",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11545.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11545"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11546 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11546/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11546/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11546/events | https://github.com/pandas-dev/pandas/pull/11546 | 115,696,337 | MDExOlB1bGxSZXF1ZXN0NTAwNDY5ODk= | 11,546 | BUG: GH11517 add multiindex column names after describe() | {
"avatar_url": "https://avatars.githubusercontent.com/u/2503544?v=4",
"events_url": "https://api.github.com/users/varunkumar-dev/events{/privacy}",
"followers_url": "https://api.github.com/users/varunkumar-dev/followers",
"following_url": "https://api.github.com/users/varunkumar-dev/following{/other_user}",
... | [
{
"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 | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 12 | 2015-11-07T22:30:01Z | 2015-11-10T04:52:18Z | 2015-11-10T02:27:23Z | CONTRIBUTOR | null | Hi,
This fixes the bug mentioned in https://github.com/pydata/pandas/issues/11517
I have added column names after the describe operation.
Request you to review the change and merge it.
Thanks
| {
"+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/11546/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11546/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11546.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11546",
"merged_at": "2015-11-10T02:27:22Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11546.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11546"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11547 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11547/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11547/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11547/events | https://github.com/pandas-dev/pandas/pull/11547 | 115,701,092 | MDExOlB1bGxSZXF1ZXN0NTAwNDg4NzY= | 11,547 | BUG: to_sql with datetime.time values with sqlite | {
"avatar_url": "https://avatars.githubusercontent.com/u/9929982?v=4",
"events_url": "https://api.github.com/users/nbonnotte/events{/privacy}",
"followers_url": "https://api.github.com/users/nbonnotte/followers",
"following_url": "https://api.github.com/users/nbonnotte/following{/other_user}",
"gists_url": "h... | [
{
"color": "5319e7",
"default": false,
"description": "to_sql, read_sql, read_sql_query",
"id": 47232590,
"name": "IO SQL",
"node_id": "MDU6TGFiZWw0NzIzMjU5MA==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20SQL"
}
] | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 15 | 2015-11-08T00:06:08Z | 2016-02-24T12:54:28Z | 2016-02-24T12:53:12Z | CONTRIBUTOR | null | I'm proposing a solution to #8341
As @jorisvandenbossche suggested, I use a sqlite3 adapter to transform `datetime.time` objects into string (`hh:mm:ss.ffffff`, as this what sqlalchemy... I think?)
I added a test in the class `_TestSQLApi`, so that the solution is tested with both sqlalchemy and the sqlite3 fallback.... | {
"+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/11547/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11547/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11547.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11547",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11547.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11547"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11548 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11548/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11548/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11548/events | https://github.com/pandas-dev/pandas/issues/11548 | 115,708,166 | MDU6SXNzdWUxMTU3MDgxNjY= | 11,548 | BUG: groupby with datetime columns | {
"avatar_url": "https://avatars.githubusercontent.com/u/6048954?v=4",
"events_url": "https://api.github.com/users/superChing/events{/privacy}",
"followers_url": "https://api.github.com/users/superChing/followers",
"following_url": "https://api.github.com/users/superChing/following{/other_user}",
"gists_url":... | [
{
"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": "729FCF",
"default": false,
"description": null,
"id": 233160,
... | closed | false | null | [] | null | 2 | 2015-11-08T04:00:58Z | 2015-11-08T16:13:44Z | 2015-11-08T16:13:44Z | NONE | null | ```
df=pd.DataFrame(
[[75,1,'2013-07-15',],
[44,3,'2014-04-02',],
[15,2,'2013-05-23',],
[93,1,'2014-04-04',]] ,columns=['Sales','Store','Date'])
df.Date=pd.to_datetime(df.Date)
gb=df.groupby('Store')
gb.apply(lambda df: pd.Series([1,2,3]))
```
**KeyError: "['Date'] not in index"**
If I comment out ... | {
"+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/11548/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11548/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11549 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11549/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11549/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11549/events | https://github.com/pandas-dev/pandas/issues/11549 | 115,742,302 | MDU6SXNzdWUxMTU3NDIzMDI= | 11,549 | Python3.4 and pandas 0.17, core dump on loading a csv | {
"avatar_url": "https://avatars.githubusercontent.com/u/886074?v=4",
"events_url": "https://api.github.com/users/teto/events{/privacy}",
"followers_url": "https://api.github.com/users/teto/followers",
"following_url": "https://api.github.com/users/teto/following{/other_user}",
"gists_url": "https://api.githu... | [
{
"color": "5319e7",
"default": false,
"description": "read_csv, to_csv",
"id": 47229171,
"name": "IO CSV",
"node_id": "MDU6TGFiZWw0NzIyOTE3MQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20CSV"
}
] | closed | false | null | [] | null | 2 | 2015-11-08T16:22:07Z | 2015-11-08T16:53:28Z | 2015-11-08T16:25:03Z | NONE | null | Hi,
I get a core dump while only loading a csv with d = pd.read_csv('roudrobin.csv')
Here is the csv:
https://transfer.sh/EYNLT/roudrobin.csv
pd.**version**
Out[3]: '0.17.0'
```
gdb python3 core
GNU gdb (Ubuntu 7.10-1ubuntu2) 7.10
... | {
"+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/11549/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11549/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11550 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11550/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11550/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11550/events | https://github.com/pandas-dev/pandas/pull/11550 | 115,744,989 | MDExOlB1bGxSZXF1ZXN0NTAwNjQ2NTQ= | 11,550 | ENH: allow dataframe get to take an axis argument | {
"avatar_url": "https://avatars.githubusercontent.com/u/9929982?v=4",
"events_url": "https://api.github.com/users/nbonnotte/events{/privacy}",
"followers_url": "https://api.github.com/users/nbonnotte/followers",
"following_url": "https://api.github.com/users/nbonnotte/following{/other_user}",
"gists_url": "h... | [
{
"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": "0b02e1",
"default": false,
"description": "Related ... | 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/jorisva... | 6 | 2015-11-08T17:14:36Z | 2016-07-21T15:44:46Z | 2015-11-13T13:55:10Z | CONTRIBUTOR | null | closes #6703
I would have like to have a solution also working for panels, but I've never used them, so I'm not sure how it should behave.
| {
"+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/11550/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11550/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11550.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11550",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11550.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11550"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11551 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11551/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11551/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11551/events | https://github.com/pandas-dev/pandas/pull/11551 | 115,747,697 | MDExOlB1bGxSZXF1ZXN0NTAwNjUxNjc= | 11,551 | BUG: multi-index to_native_types is not passing thru parameters | {
"avatar_url": "https://avatars.githubusercontent.com/u/9929982?v=4",
"events_url": "https://api.github.com/users/nbonnotte/events{/privacy}",
"followers_url": "https://api.github.com/users/nbonnotte/followers",
"following_url": "https://api.github.com/users/nbonnotte/following{/other_user}",
"gists_url": "h... | [
{
"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": "ededed",
"default": false,
"description": "__repr__ of pandas objec... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 7 | 2015-11-08T17:37:41Z | 2015-11-16T09:31:41Z | 2015-11-11T03:20:12Z | CONTRIBUTOR | null | closes #7791
xref #6797
| {
"+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/11551/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11551/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11551.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11551",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11551.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11551"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11552 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11552/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11552/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11552/events | https://github.com/pandas-dev/pandas/issues/11552 | 115,753,168 | MDU6SXNzdWUxMTU3NTMxNjg= | 11,552 | BUG: index attributes don't respect the width & need wrapping | {
"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://... | [
{
"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": "ededed",
"default": false,
"description": "__repr__ of pandas objec... | 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",
... | 0 | 2015-11-08T19:16:28Z | 2015-11-08T19:16:28Z | null | CONTRIBUTOR | null | I could get this only to show up in the notebook, but the idea is that the attributes (e.g. `_format_attrs()`)
should be wrapped like we do data so that they don't get cut off.
```
In [14]: pd.options.display.width=20
In [15]: pd.CategoricalIndex(['foo','bar','baz','a really long string']*100,name='a long name')
Out[... | {
"+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/11552/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11552/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11553 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11553/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11553/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11553/events | https://github.com/pandas-dev/pandas/issues/11553 | 115,758,548 | MDU6SXNzdWUxMTU3NTg1NDg= | 11,553 | DataFrame.to_csv ignores some formatting parameters for float indexes | {
"avatar_url": "https://avatars.githubusercontent.com/u/9929982?v=4",
"events_url": "https://api.github.com/users/nbonnotte/events{/privacy}",
"followers_url": "https://api.github.com/users/nbonnotte/followers",
"following_url": "https://api.github.com/users/nbonnotte/following{/other_user}",
"gists_url": "h... | [
{
"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"
},
{
"color": "ed... | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 3 | 2015-11-08T20:38:56Z | 2015-12-28T19:19:39Z | 2015-12-28T19:19:39Z | CONTRIBUTOR | null | xref #11551
Parameter `float_format` and `decimal` options are ignored in an Index, but work in the data itself.
```
In [2]: pd.DataFrame({'a': [0.1,1.1], 'b': [2, 3]}).to_csv(float_format='%.2f', index=False)
Out[2]: 'a,b\n0.10,2\n1.10,3\n
In [3]: pd.DataFrame({'a': [0.1,1.1], 'b': [2, 3]}).set_index('a').to_csv(f... | {
"+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/11553/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11553/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11554 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11554/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11554/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11554/events | https://github.com/pandas-dev/pandas/issues/11554 | 115,763,885 | MDU6SXNzdWUxMTU3NjM4ODU= | 11,554 | PERF: Use numpy arrays in andrews_curves plots | {
"avatar_url": "https://avatars.githubusercontent.com/u/3355128?v=4",
"events_url": "https://api.github.com/users/khs26/events{/privacy}",
"followers_url": "https://api.github.com/users/khs26/followers",
"following_url": "https://api.github.com/users/khs26/following{/other_user}",
"gists_url": "https://api.g... | [
{
"color": "8AE234",
"default": false,
"description": null,
"id": 2413328,
"name": "Visualization",
"node_id": "MDU6TGFiZWwyNDEzMzI4",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Visualization"
},
{
"color": "a10c02",
"default": false,
"description": "Me... | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 3 | 2015-11-08T21:50:18Z | 2016-03-06T08:22:09Z | 2016-03-06T08:21:12Z | CONTRIBUTOR | null | Following on from discussion in #11534, this uses a list comprehension in the following function:
```
def function(amplitudes):
def f(t):
x1 = amplitudes[0]
result = x1 / sqrt(2.0)
harmonic = 1.0
for x_even, x_odd in zip(amplitudes[1::2], amplitudes[2::2]):
result += (x_... | {
"+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/11554/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11554/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11555 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11555/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11555/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11555/events | https://github.com/pandas-dev/pandas/issues/11555 | 115,772,392 | MDU6SXNzdWUxMTU3NzIzOTI= | 11,555 | DOC: pd.read_csv doc-string clarification | {
"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://... | [
{
"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": "5319e7",
"default": false,
"description": "read_csv, to_csv",
... | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 0 | 2015-11-09T00:24:42Z | 2016-02-12T03:07:36Z | 2016-02-12T03:07:36Z | CONTRIBUTOR | null | need to update the docs for `read_csv` to match the doc-string. Let's make sure they have the same text / examples as much as possible (and are in the same order and such).
In particular, the `header` option doesn't have `header='infer'` which is the default in the docs, but it exists in the doc-string.
Further, shou... | {
"+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/11555/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11555/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11556 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11556/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11556/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11556/events | https://github.com/pandas-dev/pandas/issues/11556 | 115,772,545 | MDU6SXNzdWUxMTU3NzI1NDU= | 11,556 | Plotting fails when using subplot grid + manual axis | {
"avatar_url": "https://avatars.githubusercontent.com/u/781659?v=4",
"events_url": "https://api.github.com/users/jakevdp/events{/privacy}",
"followers_url": "https://api.github.com/users/jakevdp/followers",
"following_url": "https://api.github.com/users/jakevdp/following{/other_user}",
"gists_url": "https://... | [
{
"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": "8AE234",
"default": false,
"description": null,
"id": 2413328,
... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 6 | 2015-11-09T00:28:00Z | 2015-11-15T18:36:51Z | 2015-11-15T18:36:51Z | CONTRIBUTOR | null | The following code raises an error (tested on pandas 0.17.0, matplotlib 1.4.3, and Python 3.4.2)
```
>>> fig, ax = plt.subplots()
>>> fig.add_axes([0.2, 0.2, 0.2, 0.2])
>>> pd.Series(np.random.rand(100)).plot(ax=ax)
---------------------------------------------------------------------------
AttributeError ... | {
"+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/11556/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11556/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11557 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11557/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11557/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11557/events | https://github.com/pandas-dev/pandas/pull/11557 | 115,776,811 | MDExOlB1bGxSZXF1ZXN0NTAwNzcyNzA= | 11,557 | Style2: ignore this, just for CI | {
"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}",
"gi... | [] | closed | false | null | [] | null | 0 | 2015-11-09T01:35:53Z | 2015-11-12T01:08:46Z | 2015-11-09T13:18:51Z | 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/11557/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11557/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11557.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11557",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11557.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11557"
} | |
https://api.github.com/repos/pandas-dev/pandas/issues/11558 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11558/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11558/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11558/events | https://github.com/pandas-dev/pandas/issues/11558 | 115,789,910 | MDU6SXNzdWUxMTU3ODk5MTA= | 11,558 | groupby categorical column fails with unstack | {
"avatar_url": "https://avatars.githubusercontent.com/u/370930?v=4",
"events_url": "https://api.github.com/users/mikepqr/events{/privacy}",
"followers_url": "https://api.github.com/users/mikepqr/followers",
"following_url": "https://api.github.com/users/mikepqr/following{/other_user}",
"gists_url": "https://... | [
{
"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 | [] | {
"closed_at": "2016-05-05T00:34:40Z",
"closed_issues": 306,
"created_at": "2016-02-08T15:29:59Z",
"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/jr... | 3 | 2015-11-09T04:32:58Z | 2016-03-29T20:09:45Z | 2016-03-29T20:09:45Z | NONE | null | Replicating example
```
In [1]: df = pd.DataFrame([[1,2],[3,4]],columns=pd.CategoricalIndex(list('AB')))
In [2]: df.describe()
AttributeError: 'DataFrame' object has no attribute 'value_counts'
```
The behaviour in [this notebook](https://gist.github.com/williamsmj/c6cbabcb25f27f08407f) seems like a bug to me. 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/11558/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11558/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11559 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11559/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11559/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11559/events | https://github.com/pandas-dev/pandas/issues/11559 | 115,829,201 | MDU6SXNzdWUxMTU4MjkyMDE= | 11,559 | Subclassing not working as expected | {
"avatar_url": "https://avatars.githubusercontent.com/u/8320468?v=4",
"events_url": "https://api.github.com/users/rserbitar/events{/privacy}",
"followers_url": "https://api.github.com/users/rserbitar/followers",
"following_url": "https://api.github.com/users/rserbitar/following{/other_user}",
"gists_url": "h... | [
{
"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 | [] | {
"closed_at": "2016-05-05T00:34:40Z",
"closed_issues": 306,
"created_at": "2016-02-08T15:29:59Z",
"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/jr... | 3 | 2015-11-09T08:21:53Z | 2017-08-10T21:59:47Z | 2016-04-17T13:54:53Z | NONE | null | Running the code:
``` python
import pandas
class SubclassedSeries(pandas.Series):
@property
def _constructor(self):
return SubclassedSeries
@property
def _constructor_expanddim(self):
return SubclassedDataFrame
def c(self):
return 1
class SubclassedDataFrame(pandas.DataF... | {
"+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/11559/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11559/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11560 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11560/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11560/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11560/events | https://github.com/pandas-dev/pandas/pull/11560 | 115,864,213 | MDExOlB1bGxSZXF1ZXN0NTAxMTQ1MTA= | 11,560 | BUG: Fix bug for kendall corr when in DF num and bool | {
"avatar_url": "https://avatars.githubusercontent.com/u/14754617?v=4",
"events_url": "https://api.github.com/users/roman-khomenko/events{/privacy}",
"followers_url": "https://api.github.com/users/roman-khomenko/followers",
"following_url": "https://api.github.com/users/roman-khomenko/following{/other_user}",
... | [
{
"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": "e102d8",
"default": false,
"description": "Unexpected or buggy dtyp... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 5 | 2015-11-09T12:04:53Z | 2015-11-13T15:16:48Z | 2015-11-13T15:06:26Z | CONTRIBUTOR | null | Hi,
1. When DataFrame contain Numerics and Booleans, than numpy will have type object,
so `np.isfinite(mat)` will raise Exception.
I've fixed this by using `com._ensure_float64` like for other correlation.
1. I've skipped half of computation, because correlation is symmetrical
| {
"+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/11560/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11560/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11560.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11560",
"merged_at": "2015-11-13T15:06:26Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11560.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11560"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11561 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11561/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11561/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11561/events | https://github.com/pandas-dev/pandas/pull/11561 | 115,891,633 | MDExOlB1bGxSZXF1ZXN0NTAxMzA1NTY= | 11,561 | VIS: only apply shared axes handling on actual SubplotAxes | {
"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{/othe... | [
{
"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": "8AE234",
"default": false,
"description": null,
"id": 2413328,
... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 6 | 2015-11-09T14:48:37Z | 2015-11-15T18:36:39Z | 2015-11-15T18:36:39Z | MEMBER | null | closes #11556
closes #11520
| {
"+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/11561/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11561/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11561.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11561",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11561.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11561"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11562 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11562/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11562/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11562/events | https://github.com/pandas-dev/pandas/issues/11562 | 115,910,348 | MDU6SXNzdWUxMTU5MTAzNDg= | 11,562 | 'mode' not recognized by df.groupby().agg(), but pd.Series.mode works | {
"avatar_url": "https://avatars.githubusercontent.com/u/4314666?v=4",
"events_url": "https://api.github.com/users/patricksurry/events{/privacy}",
"followers_url": "https://api.github.com/users/patricksurry/followers",
"following_url": "https://api.github.com/users/patricksurry/following{/other_user}",
"gists... | [
{
"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": "729FCF",
"default": false,
"description": null,
... | 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",
... | 6 | 2015-11-09T16:15:52Z | 2021-04-21T04:53:08Z | null | NONE | null | This works:
```
df = pd.DataFrame({'A': [1, 2, 1, 2, 1, 2, 3], 'B': [1, 1, 1, 2, 2, 2, 2]})
df.groupby('B').agg(pd.Series.mode)
```
but this doesn't:
```
df.groupby('B').agg('mode')
...
AttributeError: Cannot access callable attribute 'mode' of 'DataFrameGroupBy' objects, try using the 'apply' method
```
I thought... | {
"+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/11562/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11562/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11563 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11563/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11563/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11563/events | https://github.com/pandas-dev/pandas/issues/11563 | 116,004,479 | MDU6SXNzdWUxMTYwMDQ0Nzk= | 11,563 | Remove hard coded border property in pandas `to_html()` | {
"avatar_url": "https://avatars.githubusercontent.com/u/3218617?v=4",
"events_url": "https://api.github.com/users/raivivek/events{/privacy}",
"followers_url": "https://api.github.com/users/raivivek/followers",
"following_url": "https://api.github.com/users/raivivek/following{/other_user}",
"gists_url": "http... | [
{
"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": "2016-10-03T08:52:13Z",
"closed_issues": 733,
"created_at": "2016-03-11T21:24:45Z",
"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/jr... | 6 | 2015-11-10T01:16:49Z | 2016-08-31T08:07:31Z | 2016-08-31T08:07:31Z | NONE | null | Hi,
https://github.com/pydata/pandas/blob/e4cb0f8a6cbb5f0c89b24783baa44326e4b2cccb/pandas/core/format.py#L893
Currently, a `border="0"` seems to be hard coded in the pandas `to_html()` table output. I think it'd be more convenient to have that as a CSS property on `dataframe` than put directly like that.
| {
"+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/11563/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11563/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11564 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11564/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11564/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11564/events | https://github.com/pandas-dev/pandas/pull/11564 | 116,033,274 | MDExOlB1bGxSZXF1ZXN0NTAyMTcwMDA= | 11,564 | BUG: GH11349 where Series.apply and Series.map did not box timedelta64 | {
"avatar_url": "https://avatars.githubusercontent.com/u/10709573?v=4",
"events_url": "https://api.github.com/users/kawochen/events{/privacy}",
"followers_url": "https://api.github.com/users/kawochen/followers",
"following_url": "https://api.github.com/users/kawochen/following{/other_user}",
"gists_url": "htt... | [
{
"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": "5319e7",
"default": false,
"description": "Timedelta data type",
... | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 29 | 2015-11-10T05:53:32Z | 2016-01-05T18:44:24Z | 2015-12-31T13:46:31Z | CONTRIBUTOR | null | closes #11349
closes #11925
| {
"+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/11564/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11564/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11564.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11564",
"merged_at": "2015-12-31T13:46:31Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11564.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11564"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11565 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11565/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11565/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11565/events | https://github.com/pandas-dev/pandas/issues/11565 | 116,034,467 | MDU6SXNzdWUxMTYwMzQ0Njc= | 11,565 | Comparing Strings to Numbers: No ValueError | {
"avatar_url": "https://avatars.githubusercontent.com/u/8622473?v=4",
"events_url": "https://api.github.com/users/mattayes/events{/privacy}",
"followers_url": "https://api.github.com/users/mattayes/followers",
"following_url": "https://api.github.com/users/mattayes/following{/other_user}",
"gists_url": "http... | [
{
"color": "006b75",
"default": false,
"description": "Arithmetic, Comparison, and Logical operations",
"id": 47223669,
"name": "Numeric Operations",
"node_id": "MDU6TGFiZWw0NzIyMzY2OQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Numeric%20Operations"
},
{
"c... | 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... | 3 | 2015-11-10T06:02:54Z | 2019-11-12T23:29:28Z | 2019-11-12T23:29:28Z | CONTRIBUTOR | null | I noticed this quirk today: When you do a DataFrame-wide comparison (excluding `==`) using a number, it doesn't raise a ValueError (which you'd expect in Python 3); instead it always returns True.
``` python
>>> from pandas import DataFrame
>>> df = DataFrame(x: {'x': 'foo', 'y': 'bar', 'z': 'baz'} for x in ['a', 'b',... | {
"+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/11565/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11565/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11566 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11566/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11566/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11566/events | https://github.com/pandas-dev/pandas/issues/11566 | 116,095,314 | MDU6SXNzdWUxMTYwOTUzMTQ= | 11,566 | RLS: 0.17.1 | {
"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://... | [
{
"color": "006b75",
"default": false,
"description": null,
"id": 131473665,
"name": "Release",
"node_id": "MDU6TGFiZWwxMzE0NzM2NjU=",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Release"
}
] | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 18 | 2015-11-10T12:13:58Z | 2015-11-21T15:41:20Z | 2015-11-21T13:46:57Z | CONTRIBUTOR | null | looking to do this on around Nov 20th (next friday)
| {
"+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/11566/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11566/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11567 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11567/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11567/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11567/events | https://github.com/pandas-dev/pandas/issues/11567 | 116,199,899 | MDU6SXNzdWUxMTYxOTk4OTk= | 11,567 | unexpected behaviour of DataFrame.duplicated | {
"avatar_url": "https://avatars.githubusercontent.com/u/5283394?v=4",
"events_url": "https://api.github.com/users/evfro/events{/privacy}",
"followers_url": "https://api.github.com/users/evfro/followers",
"following_url": "https://api.github.com/users/evfro/following{/other_user}",
"gists_url": "https://api.g... | [
{
"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": "009800",
"default": false,
"description": "Duplicate issue or pull ... | closed | false | null | [] | null | 1 | 2015-11-10T20:56:39Z | 2015-11-11T01:39:24Z | 2015-11-11T01:39:17Z | NONE | null | At least for large datasets `DataFrame.duplicated` returns incorrect results.
Consider MovieLens10M data (this code will automatically download the data from grouplens website):
``` python
import pandas as pd
from requests import get
from StringIO import StringIO
zip_file_url = 'http://files.grouplens.org/datasets/mo... | {
"+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/11567/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11567/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11568 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11568/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11568/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11568/events | https://github.com/pandas-dev/pandas/issues/11568 | 116,201,636 | MDU6SXNzdWUxMTYyMDE2MzY= | 11,568 | pd.DataFrame.fillna() recasts to previous dtype | {
"avatar_url": "https://avatars.githubusercontent.com/u/15057353?v=4",
"events_url": "https://api.github.com/users/alichaudry/events{/privacy}",
"followers_url": "https://api.github.com/users/alichaudry/followers",
"following_url": "https://api.github.com/users/alichaudry/following{/other_user}",
"gists_url"... | [
{
"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": "e102d8"... | closed | false | null | [] | null | 6 | 2015-11-10T21:06:27Z | 2015-11-11T01:38:57Z | 2015-11-11T01:38:50Z | NONE | null | Getting some really funny functionality with pd.DataFrame.fillna(). After running fillna() on a non-null dataframe (or series), it converts items that should be objects (as I typecasted them) back to floats (as they originally were).
``` python
import pandas as pd
import numpy as np
test = pd.DataFrame(np.random.ran... | {
"+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/11568/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11568/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11569 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11569/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11569/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11569/events | https://github.com/pandas-dev/pandas/issues/11569 | 116,225,183 | MDU6SXNzdWUxMTYyMjUxODM= | 11,569 | read_csv silently passes through rows with too many columns when chunking | {
"avatar_url": "https://avatars.githubusercontent.com/u/545970?v=4",
"events_url": "https://api.github.com/users/scottriding/events{/privacy}",
"followers_url": "https://api.github.com/users/scottriding/followers",
"following_url": "https://api.github.com/users/scottriding/following{/other_user}",
"gists_url... | [
{
"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": "5319e7",
"default": false,
"description": "read_csv, to_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",
... | 1 | 2015-11-10T23:19:50Z | 2021-04-21T04:54:41Z | null | NONE | null | I stumbled upon this today while working with the chunking feature. I was trying to implement a CSV cleaner that would set aside error rows (or a chunk that has an error) for future review.
Given input table as 'test.csv':
```
1,2,3,4
1,2,3,4
1,2,3,4
1,2,3,4
1,2,3,4
1,2,3,4
1,2,3,4,5,6,7,8
1,2,3,4
1,2,3,4
```
And re... | {
"+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/11569/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11569/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11570 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11570/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11570/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11570/events | https://github.com/pandas-dev/pandas/issues/11570 | 116,308,234 | MDU6SXNzdWUxMTYzMDgyMzQ= | 11,570 | Error installing Pandas via pip in Ubuntu | {
"avatar_url": "https://avatars.githubusercontent.com/u/7131826?v=4",
"events_url": "https://api.github.com/users/rowanv/events{/privacy}",
"followers_url": "https://api.github.com/users/rowanv/followers",
"following_url": "https://api.github.com/users/rowanv/following{/other_user}",
"gists_url": "https://ap... | [] | closed | false | null | [] | null | 1 | 2015-11-11T10:45:39Z | 2015-11-11T16:21:42Z | 2015-11-11T16:21:42Z | NONE | null | I'm attempting to install pandas via pip into a virtualenv. I have the latest version of numpy, `virtualenv/bin/pip3 install numpy --upgrade` confirms that it is the latest version. However, the pandas installation fails and gives me the following traceback:
``` bash
../virtualenv/bin/pip3 install pandas
Collecting p... | {
"+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/11570/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11570/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11571 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11571/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11571/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11571/events | https://github.com/pandas-dev/pandas/issues/11571 | 116,318,208 | MDU6SXNzdWUxMTYzMTgyMDg= | 11,571 | Segmentatuin fault while read_csv | {
"avatar_url": "https://avatars.githubusercontent.com/u/4193288?v=4",
"events_url": "https://api.github.com/users/thran/events{/privacy}",
"followers_url": "https://api.github.com/users/thran/followers",
"following_url": "https://api.github.com/users/thran/following{/other_user}",
"gists_url": "https://api.g... | [
{
"color": "5319e7",
"default": false,
"description": "read_csv, to_csv",
"id": 47229171,
"name": "IO CSV",
"node_id": "MDU6TGFiZWw0NzIyOTE3MQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20CSV"
}
] | closed | false | null | [] | null | 1 | 2015-11-11T11:48:34Z | 2015-11-11T12:36:31Z | 2015-11-11T12:36:31Z | NONE | null | Following code crashes with segmentation fault (SIGSEGV) - [strace.txt](https://github.com/pydata/pandas/files/31816/strace.txt). When engine is set to `python` all works fine. Problem is in that too large numeber.
```
import pandas as pd
answers = pd.read_csv("questions_answer.csv", engine='c')
```
questions_answer.... | {
"+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/11571/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11571/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11572 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11572/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11572/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11572/events | https://github.com/pandas-dev/pandas/pull/11572 | 116,365,126 | MDExOlB1bGxSZXF1ZXN0NTA0MDA0ODY= | 11,572 | Fixed typo in plotting documentation | {
"avatar_url": "https://avatars.githubusercontent.com/u/2225828?v=4",
"events_url": "https://api.github.com/users/jimmycallin/events{/privacy}",
"followers_url": "https://api.github.com/users/jimmycallin/followers",
"following_url": "https://api.github.com/users/jimmycallin/following{/other_user}",
"gists_ur... | [
{
"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": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 1 | 2015-11-11T16:04:32Z | 2015-11-11T23:03:04Z | 2015-11-11T22:07:18Z | 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/11572/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11572/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11572.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11572",
"merged_at": "2015-11-11T22:07:18Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11572.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11572"
} | |
https://api.github.com/repos/pandas-dev/pandas/issues/11573 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11573/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11573/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11573/events | https://github.com/pandas-dev/pandas/issues/11573 | 116,369,392 | MDU6SXNzdWUxMTYzNjkzOTI= | 11,573 | str method doesn't work after astype('object') | {
"avatar_url": "https://avatars.githubusercontent.com/u/8531623?v=4",
"events_url": "https://api.github.com/users/bobhaffner/events{/privacy}",
"followers_url": "https://api.github.com/users/bobhaffner/followers",
"following_url": "https://api.github.com/users/bobhaffner/following{/other_user}",
"gists_url":... | [
{
"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": "005... | closed | false | null | [] | null | 1 | 2015-11-11T16:22:07Z | 2015-11-12T00:51:18Z | 2015-11-12T00:51:09Z | CONTRIBUTOR | null | Given a small csv
```
City,State,Zip
Omaha,NE,68134
Chicago,IL,60290
Atlanta,GA,30303
```
then
```
df = pd.read_csv("test.csv")
df["Zip"].str.len()
```
not surprisingly yields
_AttributeError: Can only use .str accessor with string values, which use np.object_ dtype in pandas_
this will not throw an error, but do... | {
"+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/11573/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11573/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11574 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11574/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11574/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11574/events | https://github.com/pandas-dev/pandas/issues/11574 | 116,379,310 | MDU6SXNzdWUxMTYzNzkzMTA= | 11,574 | Misaligned shared axes between timeseries plots of different frequency. | {
"avatar_url": "https://avatars.githubusercontent.com/u/1186928?v=4",
"events_url": "https://api.github.com/users/juseg/events{/privacy}",
"followers_url": "https://api.github.com/users/juseg/followers",
"following_url": "https://api.github.com/users/juseg/following{/other_user}",
"gists_url": "https://api.g... | [
{
"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 | 3 | 2015-11-11T17:10:35Z | 2020-05-22T03:27:32Z | null | NONE | null | Observed in pandas 0.17.0 and the current development version (d78266e).
It seems to me that pandas fail to align timeseries plots with different frequency unit (or no frequency) when they are drawn on _different axes_ with one _shared axis_. The issue does _not_ occur if the two timeseries are plotted on the _same ax... | {
"+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/11574/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11574/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11575 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11575/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11575/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11575/events | https://github.com/pandas-dev/pandas/pull/11575 | 116,431,110 | MDExOlB1bGxSZXF1ZXN0NTA0NDMwNTQ= | 11,575 | Prevent adding new attributes to the accessors .str, .dt and .cat | {
"avatar_url": "https://avatars.githubusercontent.com/u/890156?v=4",
"events_url": "https://api.github.com/users/jankatins/events{/privacy}",
"followers_url": "https://api.github.com/users/jankatins/followers",
"following_url": "https://api.github.com/users/jankatins/following{/other_user}",
"gists_url": "ht... | [
{
"color": "AD7FA8",
"default": false,
"description": null,
"id": 35818298,
"name": "API Design",
"node_id": "MDU6TGFiZWwzNTgxODI5OA==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/API%20Design"
},
{
"color": "ffa0ff",
"default": false,
"description": "I... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 12 | 2015-11-11T22:04:25Z | 2015-11-14T15:08:24Z | 2015-11-14T15:08:07Z | CONTRIBUTOR | null | assigning to `Series.str`, `Series.dt`, or `Series.cat` was not failing
although you couldn't get the value back:
```
In[10]: a = pandas.Series(pandas.Categorical(list("abc")))
In[11]: a.cat.labels = [1,2]
In[12]: a.cat.labels
Traceback (most recent call last):
File "C:\portabel\miniconda\envs\pandas_dev\lib\site-pa... | {
"+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/11575/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11575/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11575.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11575",
"merged_at": "2015-11-14T15:08:07Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11575.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11575"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11576 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11576/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11576/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11576/events | https://github.com/pandas-dev/pandas/issues/11576 | 116,445,769 | MDU6SXNzdWUxMTY0NDU3Njk= | 11,576 | pandas query is broken | {
"avatar_url": "https://avatars.githubusercontent.com/u/7870949?v=4",
"events_url": "https://api.github.com/users/denfromufa/events{/privacy}",
"followers_url": "https://api.github.com/users/denfromufa/followers",
"following_url": "https://api.github.com/users/denfromufa/following{/other_user}",
"gists_url":... | [
{
"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"
},
{
"color": "00... | closed | false | null | [] | null | 6 | 2015-11-11T23:39:12Z | 2015-11-12T01:50:16Z | 2015-11-12T00:44:57Z | NONE | null | This works:
```
(df1.col1/(df1.col1+df1.col2)).plot(ylim=[0,.1])
```
But this fails (even with `engine`/`parser` set to `python`):
```
df1.query('col1/(col1+col2)').plot(ylim=[0,.1])
```
with traceback:
```
C:\Python\Python27\lib\site-packages\pandas\core\frame.pyc in query(self, expr, **kwargs)
2053
2054 ... | {
"+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/11576/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11576/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11577 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11577/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11577/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11577/events | https://github.com/pandas-dev/pandas/pull/11577 | 116,457,686 | MDExOlB1bGxSZXF1ZXN0NTA0NTk1Njc= | 11,577 | CI: Ignore this | {
"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}",
"gi... | [] | closed | false | null | [] | null | 20 | 2015-11-12T01:07:49Z | 2017-04-05T02:06:36Z | 2015-11-14T20:49:13Z | CONTRIBUTOR | null | just trying from a different branch.
| {
"+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/11577/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11577/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11577.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11577",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11577.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11577"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11578 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11578/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11578/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11578/events | https://github.com/pandas-dev/pandas/issues/11578 | 116,476,326 | MDU6SXNzdWUxMTY0NzYzMjY= | 11,578 | Dataframe resampling by groups | {
"avatar_url": "https://avatars.githubusercontent.com/u/1993919?v=4",
"events_url": "https://api.github.com/users/amelio-vazquez-reina/events{/privacy}",
"followers_url": "https://api.github.com/users/amelio-vazquez-reina/followers",
"following_url": "https://api.github.com/users/amelio-vazquez-reina/following... | [
{
"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"
},
{
"color": "207de5",
"default": false,
"descript... | closed | false | null | [] | null | 1 | 2015-11-12T04:15:23Z | 2015-11-12T12:26:06Z | 2015-11-12T12:25:52Z | CONTRIBUTOR | null | The examples that I see for [`resample`](http://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.DataFrame.resample.html) seem to only involve `pd.Series`, although the method is technically defined for a `pd.DataFrame`.
Can it be used to do the type of more complex resampling described [here](http://stac... | {
"+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/11578/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11578/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11579 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11579/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11579/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11579/events | https://github.com/pandas-dev/pandas/issues/11579 | 116,495,200 | MDU6SXNzdWUxMTY0OTUyMDA= | 11,579 | inconsistent name handling in value_counts, part 2 | {
"avatar_url": "https://avatars.githubusercontent.com/u/15811960?v=4",
"events_url": "https://api.github.com/users/corr724/events{/privacy}",
"followers_url": "https://api.github.com/users/corr724/followers",
"following_url": "https://api.github.com/users/corr724/following{/other_user}",
"gists_url": "https:... | [
{
"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... | open | false | null | [] | null | 4 | 2015-11-12T07:26:24Z | 2021-04-21T04:57:53Z | null | NONE | null | I was happy to see in the release notes for 0.17.0 that value_counts no longer discards the series name, but the implementation wasn't what I expected.
0.17.0 gives
``` py
>>> series = pd.Series([1731, 364, 813, 1731], name='user_id')
>>> series.value_counts()
1731 2
813 1
364 1
Name: user_id, dtype: int64... | {
"+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/11579/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11579/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11580 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11580/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11580/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11580/events | https://github.com/pandas-dev/pandas/issues/11580 | 116,516,340 | MDU6SXNzdWUxMTY1MTYzNDA= | 11,580 | Binary operator functions failure? | {
"avatar_url": "https://avatars.githubusercontent.com/u/9819047?v=4",
"events_url": "https://api.github.com/users/pasaitow/events{/privacy}",
"followers_url": "https://api.github.com/users/pasaitow/followers",
"following_url": "https://api.github.com/users/pasaitow/following{/other_user}",
"gists_url": "http... | [
{
"color": "006b75",
"default": false,
"description": "Arithmetic, Comparison, and Logical operations",
"id": 47223669,
"name": "Numeric Operations",
"node_id": "MDU6TGFiZWw0NzIyMzY2OQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Numeric%20Operations"
}
] | closed | false | null | [] | null | 1 | 2015-11-12T10:00:05Z | 2015-11-12T12:24:13Z | 2015-11-12T12:23:57Z | NONE | null | Hi,
I run the following code which uses the binary operator function .mul to multiply a dataframe by 1.0 and then assert that the operation should result in the same dataframe, however, the test fails indeterminately?
```
import pandas as pd, numpy as np
from pandas.util.testing import assert_frame_equal
np.random.se... | {
"+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/11580/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11580/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11581 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11581/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11581/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11581/events | https://github.com/pandas-dev/pandas/pull/11581 | 116,529,334 | MDExOlB1bGxSZXF1ZXN0NTA0OTgyOTU= | 11,581 | ENH: #3335 Pivot table support for setting name of margins column. | {
"avatar_url": "https://avatars.githubusercontent.com/u/410907?v=4",
"events_url": "https://api.github.com/users/lexual/events{/privacy}",
"followers_url": "https://api.github.com/users/lexual/followers",
"following_url": "https://api.github.com/users/lexual/following{/other_user}",
"gists_url": "https://api... | [
{
"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": "02d7e1",
"default": false,
"description": "Concat, Merge/Join, Stac... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 6 | 2015-11-12T11:11:18Z | 2015-11-15T16:46:47Z | 2015-11-15T16:46:44Z | CONTRIBUTOR | null | closes #3335.
Adds margin_column parameter to pivot_table so that user can set it to
something other than 'All'.
Raises ValueError exception if there is a conflict between the value of
margin_column and one of the other values appearing in the indices of
the pivot table.
take into account notes from closed pull reque... | {
"+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/11581/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11581/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11581.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11581",
"merged_at": "2015-11-15T16:46:44Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11581.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11581"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11582 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11582/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11582/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11582/events | https://github.com/pandas-dev/pandas/pull/11582 | 116,547,615 | MDExOlB1bGxSZXF1ZXN0NTA1MDk2NDE= | 11,582 | Make .str/.dt available for Series of type category with string/datetime | {
"avatar_url": "https://avatars.githubusercontent.com/u/890156?v=4",
"events_url": "https://api.github.com/users/jankatins/events{/privacy}",
"followers_url": "https://api.github.com/users/jankatins/followers",
"following_url": "https://api.github.com/users/jankatins/following{/other_user}",
"gists_url": "ht... | [
{
"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": "AD7FA8",
"default": false,
"description": null,
... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 25 | 2015-11-12T13:21:27Z | 2015-11-18T13:39:25Z | 2015-11-18T11:46:16Z | CONTRIBUTOR | null | If a series is a type category and the underlying Categorical has categories of type string or datetime, then make it possible to use the `.str`/`.dt` assessor on such a series.
The string/dt methods work on the categories (and therefore fast if we have
only a few categories), but return a Series with a dtype other th... | {
"+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/11582/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11582/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11582.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11582",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11582.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11582"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11583 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11583/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11583/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11583/events | https://github.com/pandas-dev/pandas/issues/11583 | 116,628,172 | MDU6SXNzdWUxMTY2MjgxNzI= | 11,583 | Enhancement: add fuzzy join ability | {
"avatar_url": "https://avatars.githubusercontent.com/u/5126549?v=4",
"events_url": "https://api.github.com/users/lminer/events{/privacy}",
"followers_url": "https://api.github.com/users/lminer/followers",
"following_url": "https://api.github.com/users/lminer/following{/other_user}",
"gists_url": "https://ap... | [
{
"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, ... | open | false | null | [] | {
"closed_at": null,
"closed_issues": 278,
"created_at": "2013-01-06T03:02:01Z",
"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",
"f... | 1 | 2015-11-12T19:58:33Z | 2021-04-21T04:58:11Z | null | NONE | null | Would be nice to be able to perform a fuzzy join between two dataframes based on string columns. This [thread](http://stackoverflow.com/questions/13636848/is-it-possible-to-do-fuzzy-match-merge-with-python-pandas) shows how to do it using difflib, but it may be nice to have this as built-in functionality.
| {
"+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/11583/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11583/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11584 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11584/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11584/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11584/events | https://github.com/pandas-dev/pandas/issues/11584 | 116,645,539 | MDU6SXNzdWUxMTY2NDU1Mzk= | 11,584 | util.testing.assert_almost_equal() gives Key Error | {
"avatar_url": "https://avatars.githubusercontent.com/u/4152095?v=4",
"events_url": "https://api.github.com/users/dickster77/events{/privacy}",
"followers_url": "https://api.github.com/users/dickster77/followers",
"following_url": "https://api.github.com/users/dickster77/following{/other_user}",
"gists_url":... | [
{
"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": "ffa0ff",
"d... | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 8 | 2015-11-12T21:32:54Z | 2016-02-12T15:04:32Z | 2016-02-12T15:04:32Z | NONE | null | Test 1 works successfully with a square dataframe
``` python
import numpy as np
import pandas as pd
np.random.seed(1)
a = pd.DataFrame(np.random.rand(5, 5))
np.random.seed(1)
b = pd.DataFrame(np.random.rand(5, 5))
b += 0.00001
pd.util.testing.assert_almost_equal(a,b)
```
Test 2 fails with a dataframe where number ro... | {
"+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/11584/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11584/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11586 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11586/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11586/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11586/events | https://github.com/pandas-dev/pandas/issues/11586 | 116,718,815 | MDU6SXNzdWUxMTY3MTg4MTU= | 11,586 | BUG: .loc against CategoricalIndex may result in normal Index | {
"avatar_url": "https://avatars.githubusercontent.com/u/1696302?v=4",
"events_url": "https://api.github.com/users/sinhrks/events{/privacy}",
"followers_url": "https://api.github.com/users/sinhrks/followers",
"following_url": "https://api.github.com/users/sinhrks/following{/other_user}",
"gists_url": "https:/... | [
{
"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 | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 1 | 2015-11-13T07:42:25Z | 2015-11-23T01:20:25Z | 2015-11-23T01:20:25Z | MEMBER | null | `.loc` against `CategoricalIndex` with values included in its `categories` but not appears as `codes` results in normal `Index`
```
import numpy as np
import pandas as pd
index = pd.CategoricalIndex(list('aabbca'), categories=list('cabe'))
df = pd.DataFrame({'A' : np.arange(6,dtype='int64')}, index=index)
# OK
df.lo... | {
"+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/11586/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11586/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11587 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11587/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11587/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11587/events | https://github.com/pandas-dev/pandas/issues/11587 | 116,719,293 | MDU6SXNzdWUxMTY3MTkyOTM= | 11,587 | ERR: DatetimeIndex creation inconsistencies between list and ndarray | {
"avatar_url": "https://avatars.githubusercontent.com/u/1696302?v=4",
"events_url": "https://api.github.com/users/sinhrks/events{/privacy}",
"followers_url": "https://api.github.com/users/sinhrks/followers",
"following_url": "https://api.github.com/users/sinhrks/following{/other_user}",
"gists_url": "https:/... | [
{
"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": "ffa0ff",
"default": false,
"description": "Incorrect... | closed | false | null | [] | {
"closed_at": "2019-01-26T00:51:26Z",
"closed_issues": 2048,
"created_at": "2018-03-29T12:00:12Z",
"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... | 2 | 2015-11-13T07:47:23Z | 2018-12-14T14:53:43Z | 2018-12-14T14:53:43Z | MEMBER | null | Setting invalid freq against ndarray(dtype=int) should raise `ValueError`.
```
import numpy as np
import pandas as pd
pd.DatetimeIndex(np.array([pd.Timestamp('2011-01-01').value, pd.Timestamp('2011-01-03').value]), freq='D')
# ValueError: Inferred frequency None from passed dates does not conform to passed frequency ... | {
"+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/11587/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11587/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11588 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11588/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11588/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11588/events | https://github.com/pandas-dev/pandas/pull/11588 | 116,770,984 | MDExOlB1bGxSZXF1ZXN0NTA2NDIxNjk= | 11,588 | TST: Enable Index dtype comparison by default | {
"avatar_url": "https://avatars.githubusercontent.com/u/1696302?v=4",
"events_url": "https://api.github.com/users/sinhrks/events{/privacy}",
"followers_url": "https://api.github.com/users/sinhrks/followers",
"following_url": "https://api.github.com/users/sinhrks/following{/other_user}",
"gists_url": "https:/... | [
{
"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": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 1 | 2015-11-13T13:45:17Z | 2015-11-17T13:19:12Z | 2015-11-17T12:17:29Z | MEMBER | null | Enable `check_index_type` and `check_columns_type` by default to detect dtype related problems.
Fixed following 2 minor bugs at the same time, but I'm willing to split them to separate PR if required.
### 1. `Series.quantile` with empty list results in `object` index rather than `float`.
```
pd.Series([1, 2, 3]).qua... | {
"+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/11588/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11588/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11588.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11588",
"merged_at": "2015-11-17T12:17:29Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11588.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11588"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11589 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11589/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11589/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11589/events | https://github.com/pandas-dev/pandas/issues/11589 | 116,772,726 | MDU6SXNzdWUxMTY3NzI3MjY= | 11,589 | DOC: url for tips.csv leads a 404 in visualization doc | {
"avatar_url": "https://avatars.githubusercontent.com/u/1426279?v=4",
"events_url": "https://api.github.com/users/glyg/events{/privacy}",
"followers_url": "https://api.github.com/users/glyg/followers",
"following_url": "https://api.github.com/users/glyg/following{/other_user}",
"gists_url": "https://api.gith... | [
{
"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": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 2 | 2015-11-13T13:57:42Z | 2015-11-13T14:07:05Z | 2015-11-13T14:07:05Z | CONTRIBUTOR | null | Here is the bad address:
http://wesmckinney.com/files/tips.csv
Found here in the docs:
https://github.com/pydata/pandas/blob/master/doc/source/visualization.rst#trellis-plotting-interface
Alternative link found elsewhere in the code base:
https://raw.github.com/pydata/pandas/master/pandas/tests/data/tips.csv
PR for a... | {
"+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/11589/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11589/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11590 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11590/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11590/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11590/events | https://github.com/pandas-dev/pandas/pull/11590 | 116,774,057 | MDExOlB1bGxSZXF1ZXN0NTA2NDQxMDQ= | 11,590 | Update Vizualisation.rst - Fixes #11589 | {
"avatar_url": "https://avatars.githubusercontent.com/u/1426279?v=4",
"events_url": "https://api.github.com/users/glyg/events{/privacy}",
"followers_url": "https://api.github.com/users/glyg/followers",
"following_url": "https://api.github.com/users/glyg/following{/other_user}",
"gists_url": "https://api.gith... | [
{
"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": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 2 | 2015-11-13T14:05:36Z | 2015-11-13T14:07:31Z | 2015-11-13T14:07:05Z | CONTRIBUTOR | null | closes #11589
Fixes a bad url
| {
"+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/11590/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11590/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11590.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11590",
"merged_at": "2015-11-13T14:07:05Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11590.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11590"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11591 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11591/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11591/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11591/events | https://github.com/pandas-dev/pandas/pull/11591 | 116,776,246 | MDExOlB1bGxSZXF1ZXN0NTA2NDUyMjQ= | 11,591 | BUG/PERF: Stata value labels | {
"avatar_url": "https://avatars.githubusercontent.com/u/2666691?v=4",
"events_url": "https://api.github.com/users/kshedden/events{/privacy}",
"followers_url": "https://api.github.com/users/kshedden/followers",
"following_url": "https://api.github.com/users/kshedden/following{/other_user}",
"gists_url": "http... | [
{
"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": "5319e7",
"default"... | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 16 | 2015-11-13T14:17:48Z | 2016-01-13T13:41:59Z | 2016-01-13T13:41:59Z | CONTRIBUTOR | null | closes #12014
This PR fixes a minor bug and introduces some performance enhancements, all related to value label reading in Stata files.
The bug is that when reading a Stata file incrementally, the value labels will be read even when specifying convert_categoricals=False (this does not happen when reading the enti... | {
"+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/11591/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11591/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11591.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11591",
"merged_at": null,
"patch_url": "https://github.com/pandas-dev/pandas/pull/11591.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11591"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11592 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11592/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11592/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11592/events | https://github.com/pandas-dev/pandas/issues/11592 | 116,796,201 | MDU6SXNzdWUxMTY3OTYyMDE= | 11,592 | Bug: read_csv does not work with chr(254) as quotechar parameter | {
"avatar_url": "https://avatars.githubusercontent.com/u/12657812?v=4",
"events_url": "https://api.github.com/users/joelschw/events{/privacy}",
"followers_url": "https://api.github.com/users/joelschw/followers",
"following_url": "https://api.github.com/users/joelschw/following{/other_user}",
"gists_url": "htt... | [
{
"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": "ffa0ff",
"default": false,
"description": "Incorrect or improved er... | closed | false | null | [] | {
"closed_at": "2017-05-06T10:20:19Z",
"closed_issues": 987,
"created_at": "2016-02-08T15:30:21Z",
"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/jr... | 5 | 2015-11-13T15:56:39Z | 2017-01-05T22:20:35Z | 2017-01-05T22:20:24Z | 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/11592/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11592/timeline | null | null | null | |
https://api.github.com/repos/pandas-dev/pandas/issues/11593 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11593/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11593/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11593/events | https://github.com/pandas-dev/pandas/issues/11593 | 116,804,251 | MDU6SXNzdWUxMTY4MDQyNTE= | 11,593 | DatetimeIndex with a frequency greater than dates range now returns only one value | {
"avatar_url": "https://avatars.githubusercontent.com/u/6425333?v=4",
"events_url": "https://api.github.com/users/edouardruiz/events{/privacy}",
"followers_url": "https://api.github.com/users/edouardruiz/followers",
"following_url": "https://api.github.com/users/edouardruiz/following{/other_user}",
"gists_ur... | [
{
"color": "0052cc",
"default": false,
"description": "DateOffsets",
"id": 53181044,
"name": "Frequency",
"node_id": "MDU6TGFiZWw1MzE4MTA0NA==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Frequency"
}
] | closed | false | null | [] | null | 3 | 2015-11-13T16:40:56Z | 2015-11-13T17:04:05Z | 2015-11-13T17:04:05Z | NONE | null | There's a different behavior between 0.16.0 and 0.17.0 on a DatetimeIndex creation with a frequency greater than the dates range:
``` python
import pandas as pd
pd.DatetimeIndex(start=pd.Timestamp('2015-04-15'), end=pd.Timestamp('2015-04-18'), freq='7D')
```
With previous versions I had a DatetimeIndex of length 2: `... | {
"+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/11593/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11593/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11594 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11594/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11594/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11594/events | https://github.com/pandas-dev/pandas/issues/11594 | 116,811,012 | MDU6SXNzdWUxMTY4MTEwMTI= | 11,594 | BUG: displayed dtype of series inferred from shown subset instead of series | {
"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{/othe... | [
{
"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": "ededed",
"default": false,
"description": "__repr__ of pandas objec... | closed | false | null | [] | {
"closed_at": "2016-05-05T00:34:40Z",
"closed_issues": 306,
"created_at": "2016-02-08T15:29:59Z",
"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/jr... | 5 | 2015-11-13T17:18:47Z | 2016-03-23T17:56:45Z | 2016-03-23T17:56:45Z | MEMBER | null | All the same issue
- [ ] #12045
- [ ] #12211
```
In [1]: import datetime
In [2]: s = pd.Series([datetime.datetime(2012, 1, 1)]*10 + [datetime.datetime(1012,1,2)] + [datetime.datetime(2012, 1, 3)]*10)
In [8]: s
Out[8]:
0 2012-01-01 00:00:00
1 2012-01-01 00:00:00
2 2012-01-01 00:00:00
3 2012-01-01 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/11594/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11594/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11595 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11595/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11595/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11595/events | https://github.com/pandas-dev/pandas/issues/11595 | 116,812,341 | MDU6SXNzdWUxMTY4MTIzNDE= | 11,595 | Optionally use sys.getsizeof in DataFrame.memory_usage | {
"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... | [
{
"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"
},
{
"color": "AD7FA... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 14 | 2015-11-13T17:26:56Z | 2016-03-30T17:24:15Z | 2015-11-13T21:34:59Z | CONTRIBUTOR | null | I would like to know how many bytes my dataframe takes up in memory. The standard way to do this is the `memory_usage` method
```
df.memory_usage(index=True)
```
For object dtype columns this measures 8 bytes per element, the size of the reference not the size of the full object. In some cases this significantly un... | {
"+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/11595/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11595/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11596 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11596/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11596/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11596/events | https://github.com/pandas-dev/pandas/pull/11596 | 116,821,815 | MDExOlB1bGxSZXF1ZXN0NTA2NzM4Nzc= | 11,596 | PERF/DOC: Option to .info() and .memory_usage() to provide for deep introspection of memory consumption #11595 | {
"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://... | [
{
"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"
},
{
"color": "AD7FA... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 9 | 2015-11-13T18:23:01Z | 2015-11-13T21:34:59Z | 2015-11-13T21:34:59Z | CONTRIBUTOR | null | closes #11595
| {
"+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/11596/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11596/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11596.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11596",
"merged_at": "2015-11-13T21:34:59Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11596.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11596"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11597 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11597/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11597/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11597/events | https://github.com/pandas-dev/pandas/issues/11597 | 116,850,338 | MDU6SXNzdWUxMTY4NTAzMzg= | 11,597 | Change .memory_usage() index default to True | {
"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": "h... | [
{
"color": "AD7FA8",
"default": false,
"description": null,
"id": 35818298,
"name": "API Design",
"node_id": "MDU6TGFiZWwzNTgxODI5OA==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/API%20Design"
}
] | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 1 | 2015-11-13T20:56:11Z | 2016-01-03T16:54:06Z | 2016-01-03T16:54:06Z | CONTRIBUTOR | null | As discussed: https://github.com/pydata/pandas/pull/11596#issuecomment-156552785
| {
"+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/11597/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11597/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11598 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11598/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11598/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11598/events | https://github.com/pandas-dev/pandas/pull/11598 | 116,857,791 | MDExOlB1bGxSZXF1ZXN0NTA2OTU1MTc= | 11,598 | PERF: Faster Series construction with no data and DatetimeIndex. | {
"avatar_url": "https://avatars.githubusercontent.com/u/410907?v=4",
"events_url": "https://api.github.com/users/lexual/events{/privacy}",
"followers_url": "https://api.github.com/users/lexual/followers",
"following_url": "https://api.github.com/users/lexual/following{/other_user}",
"gists_url": "https://api... | [
{
"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": "a10c02",
"default": false,
"description": "Memory or... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 7 | 2015-11-13T21:40:37Z | 2015-11-15T16:55:19Z | 2015-11-15T16:55:16Z | CONTRIBUTOR | null | closes pydata/pandas#11433
Code. taken from @jreback comment on pydata/pandas#11433
asv benchmark:
```
before after ratio
[6c4d2c7d] [6439bd94]
- 1.68s 364.81μs 0.00 series_methods.series_constructor_no_data_datetime_index.time_series_constructor_no_data_datetime_index
SOME BENCHMARKS HAV... | {
"+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/11598/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11598/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11598.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11598",
"merged_at": "2015-11-15T16:55:16Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11598.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11598"
} |
https://api.github.com/repos/pandas-dev/pandas/issues/11599 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11599/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11599/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11599/events | https://github.com/pandas-dev/pandas/issues/11599 | 116,868,659 | MDU6SXNzdWUxMTY4Njg2NTk= | 11,599 | BUG in remove_unused_categories with NaNs in values | {
"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{/othe... | [
{
"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": "Categorical Data Type",
... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 0 | 2015-11-13T22:45:30Z | 2015-11-18T21:34:56Z | 2015-11-18T21:34:56Z | MEMBER | null | From SO: http://stackoverflow.com/questions/33693601/removing-unused-categories-in-series-results-in-duplicated-categories
`removed_unused_categories` gives a wrong result when there is a NaN in the values:
```
>>> s = pd.Series(["A", "B", pd.np.nan]).astype("category")
>>> s.cat.remove_unused_categories()
0 A
1... | {
"+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/11599/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11599/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11600/events | https://github.com/pandas-dev/pandas/issues/11600 | 116,880,403 | MDU6SXNzdWUxMTY4ODA0MDM= | 11,600 | BUG - sparse dataframes lose multi-index column names | {
"avatar_url": "https://avatars.githubusercontent.com/u/2335790?v=4",
"events_url": "https://api.github.com/users/Ezekiel-Kruglick/events{/privacy}",
"followers_url": "https://api.github.com/users/Ezekiel-Kruglick/followers",
"following_url": "https://api.github.com/users/Ezekiel-Kruglick/following{/other_user... | [
{
"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": "009800",
"default": false,
"description": "Sparse Data Type",
"... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
"created_at": "2015-09-10T14:30:44Z",
"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/jr... | 8 | 2015-11-14T00:21:57Z | 2015-11-19T01:13:54Z | 2015-11-19T01:13:54Z | NONE | null | From SO: http://stackoverflow.com/questions/33702198/do-python-pandas-sparse-dataframes-lose-multi-index-column-names-or-am-i-doing-i
Bug is simple in concept, multi-index with column level names loses those names when going into sparse dataframes.
Minimal example - first create a multi-index dataframe:
```
In[2]: i... | {
"+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/11600/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11600/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11601 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11601/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11601/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11601/events | https://github.com/pandas-dev/pandas/issues/11601 | 116,884,685 | MDU6SXNzdWUxMTY4ODQ2ODU= | 11,601 | Enhancement - to_tde rand read_tde (Tableau Data Extract) | {
"avatar_url": "https://avatars.githubusercontent.com/u/12517855?v=4",
"events_url": "https://api.github.com/users/ldacey/events{/privacy}",
"followers_url": "https://api.github.com/users/ldacey/followers",
"following_url": "https://api.github.com/users/ldacey/following{/other_user}",
"gists_url": "https://a... | [
{
"color": "0052cc",
"default": false,
"description": "pandas objects compatability with Numpy or Python functions",
"id": 76865106,
"name": "Compat",
"node_id": "MDU6TGFiZWw3Njg2NTEwNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Compat"
}
] | closed | false | null | [] | null | 6 | 2015-11-14T01:19:42Z | 2015-11-16T21:26:31Z | 2015-11-14T14:51:09Z | NONE | null | Hello - I was wondering if someone could throw together a way to export a .tde file which stands for a Tableau Data Extract file. I spend a lot of time reading and writing .csv files and then extracting the data manually in Tableau but it would be cool to skip the .csv step and read/write directly to the .tde format.
... | {
"+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/11601/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11601/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11602 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11602/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11602/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11602/events | https://github.com/pandas-dev/pandas/issues/11602 | 116,932,320 | MDU6SXNzdWUxMTY5MzIzMjA= | 11,602 | WARN: some warnings on mpl 1.5 / windows | {
"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://... | [
{
"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": "8AE234",
"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",
... | 6 | 2015-11-14T15:17:11Z | 2016-01-06T16:37:24Z | 2016-01-06T16:37:24Z | CONTRIBUTOR | null | this was on 3.5; I couldn't repro on macosx 2.7.
```
In [1]: pd.__version__
Out[1]: '0.17.0+185.g9cbc179'
```
```
[pandas3.5] C:\Users\Jeff Reback\pandas3.5>nosetests pandas\tests\test_graphics.py -v -m area_lim -s
test_area_lim (pandas.tests.test_graphics.TestDataFramePlots) ... C:\Miniconda\envs\pandas3.5\lib\site-... | {
"+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/11602/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11602/timeline | null | null | null |
https://api.github.com/repos/pandas-dev/pandas/issues/11603 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11603/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11603/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11603/events | https://github.com/pandas-dev/pandas/pull/11603 | 116,942,772 | MDExOlB1bGxSZXF1ZXN0NTA3Mjg2MzI= | 11,603 | API: provide Rolling/Expanding/EWM objects for deferred rolling type calculations #10702 | {
"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://... | [
{
"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": "AD7FA8",
"de... | closed | false | null | [] | {
"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
"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/jr... | 55 | 2015-11-14T18:12:18Z | 2016-01-17T18:46:08Z | 2015-12-19T13:52:07Z | CONTRIBUTOR | null | closes #10702
closes #9052
xref #4950, removal of depr
So this basically takes all of the `pd.rolling_*`,`pd.expanding_*`,`pd.ewma_*` routines and allows an object oriented interface, similar to groupby.
Some benefits:
- nice tab completions on the Rolling/Expanding/EWM objects
- much cleaner code internally
- compl... | {
"+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/11603/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/11603/timeline | null | 0 | {
"diff_url": "https://github.com/pandas-dev/pandas/pull/11603.diff",
"html_url": "https://github.com/pandas-dev/pandas/pull/11603",
"merged_at": "2015-12-19T13:52:07Z",
"patch_url": "https://github.com/pandas-dev/pandas/pull/11603.patch",
"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/11603"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.