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https://api.github.com/repos/pandas-dev/pandas/issues/11904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11904/events | https://github.com/pandas-dev/pandas/pull/11904 | 123,912,567 | MDExOlB1bGxSZXF1ZXN0NTQ1OTgwMTY= | 11,904 | Issue 11833-2 | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2015-12-26T06:36:46Z | 2015-12-26T11:16:37Z | 2015-12-26T11:16:03Z | CONTRIBUTOR | null | updated the to_string() function of DataFrameFormatter(TableFormatter) class ,in format.py file, of the core directory.This is another commit . I hope this works
#11833
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https://api.github.com/repos/pandas-dev/pandas/issues/11905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11905/events | https://github.com/pandas-dev/pandas/issues/11905 | 123,919,448 | MDU6SXNzdWUxMjM5MTk0NDg= | 11,905 | from_dict / to_dict should accept same orient parameter | {
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`pd.DataFrame.to_dict` accepts `orient` parameter in
`['dict', 'list', 'series', 'split', 'records', 'index']` (default being `'dict'`)
http://pandas.pydata.org/pandas-docs/version/0.17.1/generated/pandas.DataFrame.to_dict.html
`from_dict` only accepts `orient` parameter in `['columns', 'index']` (default bei... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11906/events | https://github.com/pandas-dev/pandas/pull/11906 | 123,929,429 | MDExOlB1bGxSZXF1ZXN0NTQ2MDIyNDc= | 11,906 | Issue-11833 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11907/events | https://github.com/pandas-dev/pandas/pull/11907 | 123,929,533 | MDExOlB1bGxSZXF1ZXN0NTQ2MDIyNjU= | 11,907 | issue-11833 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11908/events | https://github.com/pandas-dev/pandas/pull/11908 | 123,929,561 | MDExOlB1bGxSZXF1ZXN0NTQ2MDIyODI= | 11,908 | fix for the issue-11833 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11909 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11909/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11909/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11909/events | https://github.com/pandas-dev/pandas/pull/11909 | 123,929,841 | MDExOlB1bGxSZXF1ZXN0NTQ2MDIzNjI= | 11,909 | fix for the issue-11833 #11903 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11910/events | https://github.com/pandas-dev/pandas/pull/11910 | 123,944,949 | MDExOlB1bGxSZXF1ZXN0NTQ2MDYzMDA= | 11,910 | issue-11833 | {
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Function updated : to_string()
Class : DataFrameFormatter
.travis.yml also changed to for fewer builds
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https://api.github.com/repos/pandas-dev/pandas/issues/11911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11911/events | https://github.com/pandas-dev/pandas/issues/11911 | 123,966,024 | MDU6SXNzdWUxMjM5NjYwMjQ= | 11,911 | New syntax request - filtering with Python's 'is in' | {
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With the current version in order to achieve filtering that is reversed to 'pd.Series.isin()' we need to define a function or use a lambda, ie:
```
df = df[df['city'].apply(lambda x: 'TA' in x if x is not None else False)]
```
I tought it could be a bit easier if we could have a syntax like:
```
df = df['TA... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11912/events | https://github.com/pandas-dev/pandas/pull/11912 | 123,969,707 | MDExOlB1bGxSZXF1ZXN0NTQ2MTQ1NTA= | 11,912 | Leading space in to_string, #11833 | {
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Final Commits
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copied from `numpy` nosetester.
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I'm working on solving issue #7061: currently, with Python 2 it is not possible to use `.to_latex()` when the dataframe contains utf-8 strings. This PR adds an `encoding` parameter to make it possible.
The work is not completely done though, and I'm making this PR to start a discussion here. In its curr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11915/events | https://github.com/pandas-dev/pandas/issues/11915 | 124,021,239 | MDU6SXNzdWUxMjQwMjEyMzk= | 11,915 | io/common.py: boto3 with python 3.5 | {
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Update (2016-01-10T02:45:00Z): There are significant API changes between `... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11918/events | https://github.com/pandas-dev/pandas/pull/11918 | 124,108,963 | MDExOlB1bGxSZXF1ZXN0NTQ2NzY3Mjk= | 11,918 | BUG in DataFrameGroupBy.rank raising an obscure TypeError | {
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Two things:
1. `Series.rank` and `DataFrame.rank` have been moved to `generic.py` and get the same signature [done with PR #11924]
2. It can happen that aggregate functions are applied to grouped object in a recursive way. Instead of raising a plain `ValueError` when that fails, and catching it afterw... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11919/events | https://github.com/pandas-dev/pandas/issues/11919 | 124,132,764 | MDU6SXNzdWUxMjQxMzI3NjQ= | 11,919 | list recent Pandas tutorial in Wiki and webpage | {
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wouldn't it be nice for newcomer to find a link to it (or other excellent ones) in the website or the Wiki ?
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https://api.github.com/repos/pandas-dev/pandas/issues/11920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11920/events | https://github.com/pandas-dev/pandas/pull/11920 | 124,160,677 | MDExOlB1bGxSZXF1ZXN0NTQ3MDExNjE= | 11,920 | ENH: raise exception when sqlalchemy is required for database string URI | {
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- Also I think there is a shadowing issue with`_SQLALCHEMY_INSTALLED` in `_engine_builder`.
```
/opt/con... | {
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"color": "009... | closed | false | null | [] | null | 1 | 2015-12-29T06:58:56Z | 2015-12-29T19:22:23Z | 2015-12-29T19:22:23Z | NONE | null | As per this: http://stackoverflow.com/questions/34236870/pandas-read-html-to-return-raw-html-contents-for-certain-rows-cells-etc?noredirect=1#comment56359521_34236870 Pandas returns the HTML stripped text of tables it scrapes. It might be nice to be able to specify columns for which you would return the raw HTML for p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11922/events | https://github.com/pandas-dev/pandas/issues/11922 | 124,207,749 | MDU6SXNzdWUxMjQyMDc3NDk= | 11,922 | Wrong behavior for df.groupby(()) | {
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Currently, an exception is raised if DataFrame.groupby is called with an empty tuple as argument:
```
>>> df.groupby(by=())
...
ValueError: No group keys passed!... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11924/events | https://github.com/pandas-dev/pandas/pull/11924 | 124,276,954 | MDExOlB1bGxSZXF1ZXN0NTQ3NjM1MDA= | 11,924 | CLN: Moving Series.rank and DataFrame.rank to generic.py | {
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"followers_url": "https://api.github.com/users/jr... | 13 | 2015-12-29T22:27:20Z | 2016-01-28T21:46:58Z | 2016-01-28T21:41:24Z | CONTRIBUTOR | null | I'm pulling this out from PR #11918. It is a first step toward solving issue #11759
The signature of `Series.rank` changes, and is now the same as `DataFrame.rank`. This may cause some problems...
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https://api.github.com/repos/pandas-dev/pandas/issues/11925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11925/events | https://github.com/pandas-dev/pandas/issues/11925 | 124,278,392 | MDU6SXNzdWUxMjQyNzgzOTI= | 11,925 | BUG: subtraction of datetime / timedelta should be allowed | {
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... | closed | false | null | [] | {
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In [12]: s2
Out[12]:
0 1 days
1 2 days
2 3 days
dtype: timedelta64[ns]
In [9]: pd.Timestamp('2012-01-01') + s2
Out[9]:
0 2012-01-02
1 2012-01-03
2 2012-01-04
dtype: datetime64[ns]
In [10]: pd.Timestamp('2012-01-01') - s2
TypeError: can only operate on a timedelta/DateOffset and a datetime for addition... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11926/events | https://github.com/pandas-dev/pandas/issues/11926 | 124,299,071 | MDU6SXNzdWUxMjQyOTkwNzE= | 11,926 | BUG: selecting from HDFStore with a tz-aware level of a multi-index | {
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... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
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This only happens
1) for a multiindex with one of the levels as timestamps with timezones (As seen in [1]). If timestamps have no timezone set, there is no issue (As seen in [2])
2) if the quer... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11927/events | https://github.com/pandas-dev/pandas/issues/11927 | 124,326,450 | MDU6SXNzdWUxMjQzMjY0NTA= | 11,927 | read_excel: Wrong dtypes for numeric text fields | {
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"color": "009... | closed | false | null | [] | null | 1 | 2015-12-30T09:41:15Z | 2015-12-30T15:22:19Z | 2015-12-30T15:22:19Z | NONE | null | In the following example, df column a are exported as text (string) in xlsx file, but imported back to df2 as int.
In [161]: df = pd.DataFrame({'a':['01','02','03','04'], 'b':[5,6,7,8]})
In [162]: df
Out[162]:
a b
0 01 5
1 02 6
2 03 7
3 04 8
In [163]: df.dtypes
Out[163]:
a object
b int64
dtype: o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11928/events | https://github.com/pandas-dev/pandas/issues/11928 | 124,338,279 | MDU6SXNzdWUxMjQzMzgyNzk= | 11,928 | Linting and PEP8 compliance | {
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I have been away from the codebase for a while and ouch, my eyes. I have used pyflakes or flake8 assiduously for Python development for a long time now and it seems that conventional style isn't being followed in the codebase:
$ flake8 pandas/core | wc -l
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https://api.github.com/repos/pandas-dev/pandas/issues/11929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11929/events | https://github.com/pandas-dev/pandas/issues/11929 | 124,363,511 | MDU6SXNzdWUxMjQzNjM1MTE= | 11,929 | to_datetime() works until 2262-04-11 | {
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>>> import pandas as pd
>>> print pd.to_datetime('22620411')
2262-04-11 00:00:00
>>> print pd.to_datetime('22620412')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Anaconda3\envs\py27\lib\site-packages\pandas\util\decorators.py", line 89, in wrapper
return func(*args, **k... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11930/events | https://github.com/pandas-dev/pandas/issues/11930 | 124,377,333 | MDU6SXNzdWUxMjQzNzczMzM= | 11,930 | DataFrame.head(0) doesn't return an empty frame | {
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pandas.DataFrame({"stuff":[1,2,3,4,5]}).head(0)
```
returns
``` python
stuff
0 1
1 2
2 3
3 4
4 5
```
I would expect an empty data frame, in the same way that
``` python
[1,2,3,4,5][0:0]
```
returns an empty list.
This is with pandas version 0.15.0.
The documentation (http:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11931/events | https://github.com/pandas-dev/pandas/issues/11931 | 124,384,359 | MDU6SXNzdWUxMjQzODQzNTk= | 11,931 | Test failure on OpenBSD: Couldn't find a tree builder with the features you requested: html5lib | {
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I'm trying to port pandas-0.17.1 to OpenBSD. There are some failing tests. The first class of failure looks like this:
```
FAIL: test_invalid_url (pandas.io.tests.test_html.TestReadHtml)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/li... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11932/events | https://github.com/pandas-dev/pandas/issues/11932 | 124,385,151 | MDU6SXNzdWUxMjQzODUxNTE= | 11,932 | Test failure on OpenBSD: unexpected keyword argument 'encoding' | {
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"d... | closed | false | null | [] | null | 1 | 2015-12-30T18:43:45Z | 2015-12-31T13:51:28Z | 2015-12-31T13:51:17Z | NONE | null | On pandas-0.17.1 on OpenBSD, many tests are failing like this:
```
ERROR: test_infer_s3_compression (pandas.io.tests.test_parsers.TestS3)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python2.7/site-packages/pandas/util/testing.py", lin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11933/events | https://github.com/pandas-dev/pandas/issues/11933 | 124,391,403 | MDU6SXNzdWUxMjQzOTE0MDM= | 11,933 | BUG: rounding selectively not working | {
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```
0 1
0 163.339996338 55.178787875
1 166.788757324 47.98198625
2 199.475143433 64.40626575
3 257.137786865 88.855215375
4 248.984573364 86.0543125... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11934/events | https://github.com/pandas-dev/pandas/issues/11934 | 124,391,988 | MDU6SXNzdWUxMjQzOTE5ODg= | 11,934 | Bug: UTC in to_datetime() not working in 0.17.1 | {
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```
import pandas as pd
import pytz
start = pd.Timestamp('2014-01-01', tz=pytz.UTC)
end = pd.Timestamp('2014-01-03', tz=pytz.UTC)
date_range = pd.bdate_range(start, end)
df = pd.DataFrame({'x':1}, index=date_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11935/events | https://github.com/pandas-dev/pandas/pull/11935 | 124,404,815 | MDExOlB1bGxSZXF1ZXN0NTQ4MzI4NDU= | 11,935 | [WIP] adding overby to core api | {
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### What is this?
This adds a new function to core DataFrames called `overby`. The main use case for this is to group data, sort within groups and apply a function to the resulting iterator.
It's very similar t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11936/events | https://github.com/pandas-dev/pandas/issues/11936 | 124,459,831 | MDU6SXNzdWUxMjQ0NTk4MzE= | 11,936 | API: allow interpolating backwards at start of series without limit | {
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``` python
In [1]: import numpy as np
...: import pandas as pd
...: ser = pd.Series([np.nan, np.nan, 5, np.nan, np.nan, 13, np.nan, np.nan])
In [2]: ser.interpolate()
Out[2]:
0 NaN
1 NaN
2 5.000000
3 7.666667
4 10.333333
5 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11937/events | https://github.com/pandas-dev/pandas/pull/11937 | 124,501,189 | MDExOlB1bGxSZXF1ZXN0NTQ4NzkyNzE= | 11,937 | head(0) and tail(0) return empty DataFrames | {
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frame.head(0) and frame.tail(0) now return empty DataFrames.
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https://api.github.com/repos/pandas-dev/pandas/issues/11938 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11938/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11938/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11938/events | https://github.com/pandas-dev/pandas/issues/11938 | 124,545,305 | MDU6SXNzdWUxMjQ1NDUzMDU= | 11,938 | API: .snap, xref Second().rollback(ts), rollforward(ts), onOffset(ts) does not change the timestamp | {
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``` python
Second().rollback(pd.Timestamp('2015-02-02 08:35:22.555'))
```
does not change the timestamp and returns:
``` python
Timestamp('2015-02-02 08:35:22.555000')
```
This will probably also affect `DatetimeIndex.snap()` method.
(using pandas 0.17.1)
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https://api.github.com/repos/pandas-dev/pandas/issues/11939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11939/events | https://github.com/pandas-dev/pandas/issues/11939 | 124,558,418 | MDU6SXNzdWUxMjQ1NTg0MTg= | 11,939 | str accessor fails for object-typed data that is actually numeric | {
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"color": "005... | closed | false | null | [] | null | 5 | 2016-01-01T19:35:58Z | 2016-01-02T02:16:16Z | 2016-01-02T01:25:50Z | NONE | null | One thing that is important for me, since convert_objects has been deprecated (#11221), is that removing it from my code yields a bug that I've reproduced in simplified form here:
``` python
import pandas as pd
import numpy as np
df = pd.DataFrame({'a': [1, 2]})
print df.dtypes #The dtype of a is an int64
df.a = df.a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11940/events | https://github.com/pandas-dev/pandas/pull/11940 | 124,571,147 | MDExOlB1bGxSZXF1ZXN0NTQ4OTk3NTc= | 11,940 | DOC: several minor doc improvements | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11941 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11941/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11941/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11941/events | https://github.com/pandas-dev/pandas/pull/11941 | 124,573,401 | MDExOlB1bGxSZXF1ZXN0NTQ5MDA1NDI= | 11,941 | PEP8: add in flake8 checking | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-01-02T09:42:35Z | 2016-01-03T16:36:16Z | 2016-01-03T16:36:16Z | CONTRIBUTOR | null | closes #11833
I had to create a new PR , due to unresolved conflicts
Just look at the third commit , it is all squashed , ignore the rest
I don't get it why the travis build is not being executed for the third commit, it fails for its parent(the first commit) , but would pass for itself , as it is an updated versio... | {
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The desired result is to allow slices of the column index to be used in set_index. Like this:
```
>>> import pandas as pd
>>> data1 = 'x'*5 + 'y'*5
>>> data2 = ['a','b','c','d','e']*2
>>> data3 = range(10)
>>> data_dict = {'Cat': list(data1), 'SubCat': list(data2), 'Vals':data3}
>>> df = pd.DataFrame(data... | {
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Putting this out there as a start. Will add to this over the next couple of days.
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https://api.github.com/repos/pandas-dev/pandas/issues/11946 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11946/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11946/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11946/events | https://github.com/pandas-dev/pandas/issues/11946 | 124,653,301 | MDU6SXNzdWUxMjQ2NTMzMDE= | 11,946 | Series doesn't have an is_unique attribute | {
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... | 2 | 2016-01-03T15:25:15Z | 2016-01-06T17:07:02Z | 2016-01-06T17:07:02Z | CONTRIBUTOR | null | Hello,
Series doesn't have is a `is_unique` attribute
Index have a `is_unique` attribute but not (values of a) Series
``` python
>>> df.index.is_unique
True
>>> df['Column1'].is_unique
---------------------------------------------------------------------------
AttributeError Traceback (mo... | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-01-03T16:28:37Z | 2021-04-16T19:46:26Z | 2021-04-16T11:03:57Z | CONTRIBUTOR | null | xref: https://github.com/pydata/pandas/pull/11832 allows `pandas.tseries.tools.to_time` to parse `time` types (into `datetime.time`) objects. These are not first class within the pandas data structures. But still may want to expose this.
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https://api.github.com/repos/pandas-dev/pandas/issues/11948 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11948/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11948/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11948/events | https://github.com/pandas-dev/pandas/pull/11948 | 124,658,132 | MDExOlB1bGxSZXF1ZXN0NTQ5Mjc5MjM= | 11,948 | ENH: add is_unique attr to Series | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-01-03T16:40:57Z | 2016-01-06T17:06:45Z | 2016-01-06T17:06:45Z | CONTRIBUTOR | null | Try to fix https://github.com/pydata/pandas/issues/11946
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**Á**
However, after reading in the data with Pandas E... | {
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-fixing line length of comments/docstrings for pep8 compliance
-converting lambdas to functions for pep8 compliance
-change YAPF default formatting of error strings
-change some Y... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11952 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11952/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11952/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11952/events | https://github.com/pandas-dev/pandas/issues/11952 | 124,685,664 | MDU6SXNzdWUxMjQ2ODU2NjQ= | 11,952 | Categorical.from_codes(codes, categories, ordered=False, name=None) | {
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"followers_url": "https://api.github.com/users/jorisva... | 7 | 2016-01-04T02:04:06Z | 2016-01-04T13:15:20Z | 2016-01-04T02:07:23Z | NONE | null | The parameter for categories is documented as being `index-like`.
Does that include dictionaries?
If so, some unexpected results occurred when working with integers and dictionaries in version 0.17.1
The following sets out what I found
``` python
sex = [1,2,0,1]
categories = {1:'Male', 2:'Female', 0:'Unknown'}
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https://api.github.com/repos/pandas-dev/pandas/issues/11953 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11953/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11953/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11953/events | https://github.com/pandas-dev/pandas/issues/11953 | 124,770,140 | MDU6SXNzdWUxMjQ3NzAxNDA= | 11,953 | BUG: fillna('') does not replace NaT | {
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... | open | false | null | [] | null | 6 | 2016-01-04T14:38:12Z | 2021-10-26T08:51:02Z | null | CONTRIBUTOR | null | pandas generally tries to coerce values to fit the column dtype, or upcasts the dtype to fit.
For a setting operation this is convenient & I think expected as a user
```
In [35]: df = DataFrame({'A' : Series(dtype='M8[ns]'), 'B' : Series([np.nan],dtype='object'), 'C' : ['foo'], 'D' : [1]})
In [36]: df
Out[36]:
A... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11954 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11954/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11954/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11954/events | https://github.com/pandas-dev/pandas/issues/11954 | 124,791,342 | MDU6SXNzdWUxMjQ3OTEzNDI= | 11,954 | Style: removing unnecessary usages of `\` from the codebase | {
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"followers_url": "https://api.github.com/users/jorisva... | 7 | 2016-01-04T16:34:21Z | 2019-10-16T22:33:22Z | 2019-10-16T22:33:15Z | MEMBER | null | I've found that using parentheses (which allow for automatic continuation) instead of `\` results in a lot more readable code. The lone exception is using `\` with long strings and avoiding a line break at the start of the string.
Worse:
```
return GOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOD and LET and THE and HATE and FLOW\
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https://api.github.com/repos/pandas-dev/pandas/issues/11955 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11955/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11955/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11955/events | https://github.com/pandas-dev/pandas/issues/11955 | 124,792,429 | MDU6SXNzdWUxMjQ3OTI0Mjk= | 11,955 | Docs: start a pandas style guide | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11956 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11956/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11956/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11956/events | https://github.com/pandas-dev/pandas/pull/11956 | 124,797,216 | MDExOlB1bGxSZXF1ZXN0NTQ5OTcxMTI= | 11,956 | Reformat with YAPF | {
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] | closed | false | null | [] | null | 13 | 2016-01-04T17:02:48Z | 2016-01-07T09:50:15Z | 2016-01-07T01:25:09Z | MEMBER | null | Just as an example (using the default configuration). The same files are adjusted as in https://github.com/pydata/pandas/pull/11951
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https://api.github.com/repos/pandas-dev/pandas/issues/11957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11957/events | https://github.com/pandas-dev/pandas/pull/11957 | 124,860,068 | MDExOlB1bGxSZXF1ZXN0NTUwMzUwMzM= | 11,957 | BUG: GH11835 where comparison of Timedelta array caused infinite loop | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11958/events | https://github.com/pandas-dev/pandas/issues/11958 | 124,872,280 | MDU6SXNzdWUxMjQ4NzIyODA= | 11,958 | Performance issue with DataFrames with numpy fortran-order arrays and pd.concat | {
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... | 20 | 2016-01-05T00:54:47Z | 2016-01-08T13:51:46Z | 2016-01-08T13:51:46Z | CONTRIBUTOR | null | Hi,
When trying to concat() multiple big fortran order arrays, there is a big performance hit, as most of the work goes into calling ravel().
See:
https://github.com/pydata/pandas/blob/master/pandas/core/internals.py#L4772
You can see the `is_null(self)` is using just a few values from the data after calling `.r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11959/events | https://github.com/pandas-dev/pandas/issues/11959 | 124,879,920 | MDU6SXNzdWUxMjQ4Nzk5MjA= | 11,959 | DataFrame.boxplot() ignored figsize keyword | {
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... | 8 | 2016-01-05T02:04:15Z | 2017-06-12T21:56:38Z | 2017-06-07T21:53:06Z | CONTRIBUTOR | null | The [DataFrame.boxplot](http://pandas.pydata.org/pandas-docs/version/0.17.1/generated/pandas.DataFrame.boxplot.html) reference documentation says I can change the size of a plot though the `figsize` keyword, but this appears not to work.
Using `df.plot(kind='box')` does respect `figsize`.
```
import pandas as pd
impo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11960/events | https://github.com/pandas-dev/pandas/pull/11960 | 124,908,737 | MDExOlB1bGxSZXF1ZXN0NTUwNjAwNDQ= | 11,960 | BRANCH: libpandas native core experiments | {
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... | 18 | 2016-01-05T06:54:27Z | 2016-09-15T20:47:43Z | 2016-01-06T22:08:00Z | MEMBER | null | Summary of implementation approach
- Base `pandas::Array` class
- Implement dtype-specific Array subclasses and use dynamic dispatch to invoke generic array methods
- Hold NumPy arrays internally
- For data types that don't have a well-defined NA values, use a bitmask to store null/not-null
I adapted several bits of c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11961/events | https://github.com/pandas-dev/pandas/issues/11961 | 124,940,519 | MDU6SXNzdWUxMjQ5NDA1MTk= | 11,961 | io: to_excel leads to TypeError when index with tz | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-01-05T10:45:40Z | 2016-01-05T12:43:24Z | 2016-01-05T11:14:45Z | CONTRIBUTOR | null | I would like to save a _df_ with the following _index_ to an Excel file:
```dtype='datetime64[ns, Atlantic/Reykjavik]', name=u'Dates', length=4360, freq='H')
```
it shows the following error:
```
TypeError: Timestamp subtraction must have the same timezones or no timezones
```
```
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https://api.github.com/repos/pandas-dev/pandas/issues/11962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11962/events | https://github.com/pandas-dev/pandas/issues/11962 | 124,956,442 | MDU6SXNzdWUxMjQ5NTY0NDI= | 11,962 | DOC: fully document Index types | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-01-05T12:16:26Z | 2018-03-07T09:27:24Z | 2018-03-07T09:27:24Z | CONTRIBUTOR | null | - add to API.rst
- [ ] `Int64Index`
- [ ] `Float64Index`
- [ ] `PeriodIndex`
- [x] `MultiIndex` (#11893)
- [ ] `RangeIndex` (#11892)
- add to main docs (`CategoricalIndex` / `Float64Index` described in MultiIndex / Advanced Indexing sections). Expand this section to include.
- [ ] `Index`
- [ ] `DatetimeI... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11963/events | https://github.com/pandas-dev/pandas/issues/11963 | 124,957,072 | MDU6SXNzdWUxMjQ5NTcwNzI= | 11,963 | Timestamp rounding wrong implementation | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-01-05T12:20:57Z | 2016-01-12T20:24:46Z | 2016-01-12T20:24:46Z | CONTRIBUTOR | null | Hi,
I was looking at the recent ENH #4314 and there is a wrong implementation of `round` method for datetime.
``` cython
def round(self, freq):
"""
return a new Timestamp rounded to this resolution
Parameters
----------
freq : a freq string indicating the... | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2016-01-05T14:33:23Z | 2016-01-12T20:25:09Z | 2016-01-12T20:25:09Z | CONTRIBUTOR | null | closes #11963
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"followers_url": "https://api.github.com/users/jr... | 5 | 2016-01-05T15:27:00Z | 2016-02-11T02:42:04Z | 2016-02-11T02:42:04Z | CONTRIBUTOR | null | It would be nice to have a method to change the `.name` attribute on the columns/index, to permit it in a method chain. (This is a suggestion based on [this stackoverflow question](http://stackoverflow.com/questions/34598733/dataframe-method-for-renaming-axis).)
Instead of
```
df.columns.name = 'A'
df.index.name = '... | {
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] | closed | false | null | [] | null | 2 | 2016-01-06T00:02:50Z | 2020-04-27T03:08:10Z | 2016-01-13T02:53:38Z | NONE | null | When I use
test_labels.to_csv("./data/test_label.csv", headers=True, index = False)
to write dataframe into csv file, it always convert inteders into float number,(I check the test_labels.dtype, it shows <type "int">. How can I let it not convert. Thanks
python 2.7.11, pandas 0.17.1, windows 10
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```
for cl in train.columns:
print cl, type(train.loc[0, cl])
print cl, type(train[cl][0])
break
```
**[out]**
```
record_ID <type 'numpy.float64'>
record_ID <type 'numpy.int64'>
```
Though I can solve it in many cases with `train[cl].dtype`, which gives the correct output:
**[out]**
```
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Create `libpandas` to support current user-facing API and container API (currently only numpy).
- `ImmutableArray`, single immutable dtyped container with a `pandas.DataType` dtype mirroring numpy/python scalars as well as current pandas extension types (`Categorical`, `datetime w/tz`), integer/boolean NA... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11971 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11971/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11971/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11971/events | https://github.com/pandas-dev/pandas/issues/11971 | 125,207,575 | MDU6SXNzdWUxMjUyMDc1NzU= | 11,971 | What processing is involved in transposing a dataframe? | {
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"default"... | closed | false | null | [] | null | 2 | 2016-01-06T16:10:11Z | 2016-01-06T16:16:05Z | 2016-01-06T16:14:12Z | CONTRIBUTOR | null | Sorry, I know this is more of a question (and maybe implementation/platform-specific) than anything else, so apologies if this is not the right venue.
Consider a large dataframe. Does transposing it trigger a full re-allocation of its data in memory? And if so, could that be improved?
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https://api.github.com/repos/pandas-dev/pandas/issues/11972 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11972/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11972/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11972/events | https://github.com/pandas-dev/pandas/pull/11972 | 125,209,614 | MDExOlB1bGxSZXF1ZXN0NTUyMzExNDE= | 11,972 | ENH: add to_xarray conversion method | {
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xref #10000
using `xarray` >= 07.0
```
In [10]: Series([1,2,3]).to_xarray()
Out[10]:
<xarray.DataArray (index: 3)>
array([1, 2, 3])
Coordinates:
* index (index) int64 0 1 2
In [11]: DataFrame({'A' : [1,2,3], 'B' : ['foo','bar','baz']}).to_xarray()
Out[11]:
<xarray.Dataset>
Dimensions: (in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11973 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11973/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11973/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11973/events | https://github.com/pandas-dev/pandas/issues/11973 | 125,236,739 | MDU6SXNzdWUxMjUyMzY3Mzk= | 11,973 | Datetime index error? | {
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"color": "005... | closed | false | null | [] | null | 3 | 2016-01-06T18:45:50Z | 2016-01-06T21:17:19Z | 2016-01-06T21:17:03Z | NONE | null | I have a dataframe of tweets, where the "created_at" column is stored as a datetime object. I just upgraded to the latest version of pandas, and now get this error:
```
df['created_at'].map(lambda d: d.strftime("%Y%m%d"))
TypeError: Argument 'arr' has incorrect type (expected numpy.ndarray, got DatetimeIndex)
```
st... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11974 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11974/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11974/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11974/events | https://github.com/pandas-dev/pandas/issues/11974 | 125,240,081 | MDU6SXNzdWUxMjUyNDAwODE= | 11,974 | Series.skew() for constant series returns inconsistent values | {
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``` python
#skew:
pd.Series(3075.3, np.arange(300)).skew() #returns -105683727.49921818
pd.Series(3075.2, np.arange(300)).skew() #returns nan
pd.Series(3075.5, np.arange(300)).skew() #returns 0
#kurt:
pd.Series(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11977/events | https://github.com/pandas-dev/pandas/issues/11977 | 125,302,814 | MDU6SXNzdWUxMjUzMDI4MTQ= | 11,977 | ERR: better error message on invalid timestamp parsing | {
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... | 3 | 2016-01-07T01:33:27Z | 2016-11-18T11:56:19Z | 2016-11-18T11:56:19Z | CONTRIBUTOR | null | ```
In [2]: pd.Timestamp('2010011')
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-2-ccfd37d6ef5d> in <module>()
----> 1 pd.Timestamp('2010011')
/Users/jreback/pandas/pandas/tslib.pyx in pandas.tslib... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11978 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11978/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11978/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11978/events | https://github.com/pandas-dev/pandas/issues/11978 | 125,305,108 | MDU6SXNzdWUxMjUzMDUxMDg= | 11,978 | ENH: other plotting tools via plot accessor | {
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- [ ] `andrews_curve`
- [ ] `parallel_coordinates`
- [ ] `lag_plot` (maybe rename to `lag`)
- [ ] `autocorrelation_plot` (maybe rename to `autocorrelation`?)
- [ ] `bootstrap_plot` (maybe rename to `bootstrap`?)
- [ ] `radviz`
I think it would be nice to allow ... | {
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... | 7 | 2016-01-07T04:48:14Z | 2021-04-21T05:41:26Z | null | CONTRIBUTOR | null | Seems surprising, I thought `.name` would come along.
``` python
In [31]: idx = pd.MultiIndex.from_product([['A'], ['a', 'b', 'c']])
In [32]: idx.name = 'foo'
In [33]: idx2 = idx.set_names(['l1', 'l2'])
In [34]: idx2.name
```
Bug, or user error since MultiIndex.name isn't all that useful?
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https://api.github.com/repos/pandas-dev/pandas/issues/11980 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11980/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11980/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11980/events | https://github.com/pandas-dev/pandas/pull/11980 | 125,322,740 | MDExOlB1bGxSZXF1ZXN0NTUyOTk5NTA= | 11,980 | ENH/API: Scalar values for Series.rename and NDFrame.rename_axis | {
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closes https://github.com/pydata/pandas/issues/11965
Okay refactored to overload `NDFrame.rename` and `NDFrame.rename_axis`
New rules:
- Series.rename(scalar) or Series.rename(list-like) will alter `Series.name`
- NDFrame.rename(mapping) and NDFrame.rename(function)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11981 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11981/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11981/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11981/events | https://github.com/pandas-dev/pandas/issues/11981 | 125,362,395 | MDU6SXNzdWUxMjUzNjIzOTU= | 11,981 | interation of set_eng_float_format and pivot_tables | {
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The following example throws an error from the `format.py` module.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11982 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11982/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11982/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11982/events | https://github.com/pandas-dev/pandas/issues/11982 | 125,368,627 | MDU6SXNzdWUxMjUzNjg2Mjc= | 11,982 | How to concatenate two Panels without duplicating Items axis (i.e. like columns in DataFrames)? | {
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"de... | closed | false | null | [] | null | 5 | 2016-01-07T10:39:41Z | 2016-01-07T23:09:28Z | 2016-01-07T12:53:18Z | NONE | null | I am trying to concatenating two Panels with duplicate `Items` (but different `major_axes`) together, without actually having to duplicate items... Did some searching but couldn't find much on SO.
Unfortunately I cannot upload pics to github at the moment.. **But screens are attached [here](http://stackoverflow.com/qu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11983 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11983/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11983/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11983/events | https://github.com/pandas-dev/pandas/issues/11983 | 125,369,922 | MDU6SXNzdWUxMjUzNjk5MjI= | 11,983 | Panel resample by periods does not work in 0.17.1 for certain panels | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-01-07T10:48:52Z | 2018-07-06T20:21:09Z | 2017-07-11T09:54:41Z | CONTRIBUTOR | null | This code works in 0.15.2 but breaks in 0.17.1
``` python
import pandas as pd
import numpy as np
pd.show_versions()
items = ['foo']
major_axis = pd.date_range('2013-04-01', '2013-06-30')
minor_axis = [0]
p = pd.Panel(
np.ones(major_axis.size).reshape(1, -1, 1),
items=items,
major_axis=major_axis
)
p.re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11984 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11984/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11984/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11984/events | https://github.com/pandas-dev/pandas/issues/11984 | 125,374,742 | MDU6SXNzdWUxMjUzNzQ3NDI= | 11,984 | Pandas replacing values on specific columns. view vs. copy | {
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... | 10 | 2016-01-07T11:18:16Z | 2019-10-01T08:25:38Z | 2017-06-28T09:36:52Z | CONTRIBUTOR | null | Hello,
I asked a question on StackExchange which is explaining my bug/feature:
http://stackoverflow.com/questions/34653215/pandas-replacing-values-on-specific-columns
pd.show_versions() gives:
## INSTALLED VERSIONS
commit: None
python: 3.5.0.final.0
python-bits: 64
OS: Linux
OS-release: 3.16.0-57-generic
machine: x8... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11985 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11985/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11985/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11985/events | https://github.com/pandas-dev/pandas/issues/11985 | 125,420,526 | MDU6SXNzdWUxMjU0MjA1MjY= | 11,985 | writer.save() prevents the creation of addtional sheets | {
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``` python
import pandas as pd
import numpy as np
import os
if __name__ == "__main__" :
dates = pd.date_range('20130101', periods=6)
df = pd.DataFrame(np.r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11986/events | https://github.com/pandas-dev/pandas/issues/11986 | 125,432,159 | MDU6SXNzdWUxMjU0MzIxNTk= | 11,986 | BUG: DataFrame.round() drops column index name | {
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- This is also seen when using np.round() on the dataframe.
- Further this is not seen when using other elementwise numpy operations such as np.floor()
- This is only observed in pandas 0.17.\* This was working fine in pandas 0.16.*
``` python
import pandas as ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11987 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11987/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11987/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11987/events | https://github.com/pandas-dev/pandas/issues/11987 | 125,432,235 | MDU6SXNzdWUxMjU0MzIyMzU= | 11,987 | separate sparsify for header and body | {
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"description": "read_htm... | open | false | null | [] | null | 7 | 2016-01-07T16:44:29Z | 2021-09-09T13:45:38Z | null | NONE | null | hi
i would welcome if option `sparsify` could be set separately for header and body
as i want body without `sparsify=False` and head with `sparsify=True`
what do you think about it?
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https://api.github.com/repos/pandas-dev/pandas/issues/11988 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11988/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11988/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11988/events | https://github.com/pandas-dev/pandas/pull/11988 | 125,434,719 | MDExOlB1bGxSZXF1ZXN0NTUzNjA2ODU= | 11,988 | COMPAT: drop suppport for python 2.6, #7718 | {
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closes #7718
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https://api.github.com/repos/pandas-dev/pandas/issues/11989 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11989/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11989/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11989/events | https://github.com/pandas-dev/pandas/issues/11989 | 125,446,358 | MDU6SXNzdWUxMjU0NDYzNTg= | 11,989 | DOC: read_csv() ignores quotes when a regex is used in sep | {
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In the following example, `example.csv` is parsed correctly by `read_csv` without regexes in `sep`, while the version with regexes (which should evaluate to exactly the same as the previous versi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11990 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11990/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11990/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11990/events | https://github.com/pandas-dev/pandas/issues/11990 | 125,454,342 | MDU6SXNzdWUxMjU0NTQzNDI= | 11,990 | select_dtypes fails on float16 typecode | {
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```
import pandas as pd
import numpy as np
FLOAT_TYPES = list(np.typecodes['AllFloat'])
df = pd.util.testing.makeDataFrame()
df.select_dtypes(FLOAT_TYPES)
FLOAT_TYPES.remove('e')
df.select_dtypes(FLOAT_TYPES)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/11991 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11991/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11991/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11991/events | https://github.com/pandas-dev/pandas/pull/11991 | 125,457,773 | MDExOlB1bGxSZXF1ZXN0NTUzNzI4MzQ= | 11,991 | BUG: Allow typecode of 'e' to be passed to select_dtypes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11992 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11992/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11992/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11992/events | https://github.com/pandas-dev/pandas/pull/11992 | 125,458,159 | MDExOlB1bGxSZXF1ZXN0NTUzNzMwMTg= | 11,992 | BUG: DataFrame.round() drops column index name #11986 | {
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Pretty minor fix -- does this need a release note or anything else?
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"d... | closed | false | null | [] | null | 3 | 2016-01-07T21:33:16Z | 2018-10-26T05:57:34Z | 2018-10-26T05:57:34Z | CONTRIBUTOR | null | xref #7718
xref #11988
since we recently removed 2.6 (and 3.3) support, we are now free to use some features of later releases.
Some of these may be useful. We should investigate and create individual issues.
see [here](https://docs.python.org/2/whatsnew/2.7.html)
- The syntax for set literals (`{1,2,3}` is a mutab... | {
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"color": "009... | closed | false | null | [] | null | 1 | 2016-01-07T21:52:03Z | 2016-01-07T22:00:06Z | 2016-01-07T21:59:53Z | NONE | null | Hi, new to python and pandas, but am trying to work with information off the web that has serial numbers. Many of the numbers have leading zeros which that are important to carry over, but pandas interprets the values as integers and drops the zero. I was trying to change the dtype to str but read_html doesn't have a d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11995 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11995/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11995/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11995/events | https://github.com/pandas-dev/pandas/issues/11995 | 125,513,340 | MDU6SXNzdWUxMjU1MTMzNDA= | 11,995 | BUG: pd.Timedelta cannot handle unicode on Python 2 | {
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``````
In [1]: import pandas as pd
In [2]: pd.__version__
Out[2]: '0.17.1+179.g44e4c96'
In [3]: pd.Timedelta('1H')
Out[3]: Timedelta('0 days 01:00:00')
In [4]: pd.Timedelta(u'1H')
---------------------------------------------------------------------------
TypeError ... | {
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``` python
In [1]: import pandas as pd
...: data = pd.DataFrame({'d':[1,2,3],'e':[1.5,2,3],'f':[2,2,3]},index=list('abc'))
...: data.diff(axis=1)
Out[1]:
d e f
a NaN NaN 1
b NaN NaN 0
c NaN NaN 0
```
Hint: the following gives expected result
``` python
In [2]: data.astype(floa... | {
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"color": "AD... | closed | false | null | [] | null | 3 | 2016-01-08T16:57:58Z | 2016-01-08T21:04:48Z | 2016-01-08T18:26:10Z | NONE | null | One feature about DataFrame that I found uncomfortable is the inconsistency of results:
```
x = pd.DataFrame({'A': [1,2,3,4,5]}, index=['a','b','c','d','e'])
x.loc[['a', 'f']] # fine, value of 'f' is numpy.nan
x.loc[['f']] # throws
```
When developing data applications, I spend lot of time fixing this issue. I th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11999 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11999/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11999/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11999/events | https://github.com/pandas-dev/pandas/issues/11999 | 125,669,313 | MDU6SXNzdWUxMjU2NjkzMTM= | 11,999 | HDFStore unexpectedly changes data ordering for panels | {
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"id": 47229190,
"name": "IO HDF5",
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"descri... | closed | false | null | [] | null | 2 | 2016-01-08T18:47:40Z | 2019-12-20T14:02:09Z | 2019-12-20T14:02:08Z | CONTRIBUTOR | null | ```
import pandas as pd
import numpy as np
df = pd.Panel(np.arange(8).reshape((2,2,2)))
print(df.values.flags)
print('-----')
with pd.HDFStore('temp.h5', 'w') as s:
s.put('df', df)
new_df = s.get('df')
print(new_df.values.flags)
```
outputs:
```
C_CONTIGUOUS : True
F_CONTIGUOUS : False
OWNDATA :... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12000 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12000/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12000/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12000/events | https://github.com/pandas-dev/pandas/pull/12000 | 125,679,580 | MDExOlB1bGxSZXF1ZXN0NTU1MDE3OTY= | 12,000 | Small improvements to str_cat | {
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"color": "ffa0ff"... | closed | false | null | [] | null | 7 | 2016-01-08T19:42:42Z | 2016-02-11T21:22:45Z | 2016-02-11T21:22:45Z | CONTRIBUTOR | null | closes #11435
closes #11334.
Added some doc examples to make the behavior with `nan` more clear, and catch an error condition when a `sep` is passed instead of an `others` (array) as an argument and print a more intuitive error message.
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https://api.github.com/repos/pandas-dev/pandas/issues/12001 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12001/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12001/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12001/events | https://github.com/pandas-dev/pandas/pull/12001 | 125,710,116 | MDExOlB1bGxSZXF1ZXN0NTU1MjA2MzA= | 12,001 | DOC: fix escape in EWM docstring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12002/events | https://github.com/pandas-dev/pandas/pull/12002 | 125,718,496 | MDExOlB1bGxSZXF1ZXN0NTU1MjU2NTQ= | 12,002 | DOC/CI: include api docs on travis | {
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Closes #3800
TODO:
- [x] remove printing of doc build log file in after_script
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https://api.github.com/repos/pandas-dev/pandas/issues/12003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12003/events | https://github.com/pandas-dev/pandas/issues/12003 | 125,720,106 | MDU6SXNzdWUxMjU3MjAxMDY= | 12,003 | DOC: use RTD for doc builds / hosting | {
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for pure-python packages this is quite easy (e.g. @shoyer just added `xray` support).
We would have to build a conda package on travis. and push to our channel. Which is then pulled from RTD.
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