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https://api.github.com/repos/pandas-dev/pandas/issues/21912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21912/events | https://github.com/pandas-dev/pandas/pull/21912 | 341,248,127 | MDExOlB1bGxSZXF1ZXN0MjAxNDU4NjYx | 21,912 | Add statsmodels to optional dependencies | {
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"followers_url": "https://api.github... | 2 | 2018-07-14T16:27:07Z | 2018-07-15T02:14:57Z | 2018-07-15T02:14:57Z | CONTRIBUTOR | null | Some of the documentation uses methods from statsmodels, which isn't included in the optional dependency list.
Fixes #21911.
- [x] closes #xxxx
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https://api.github.com/repos/pandas-dev/pandas/issues/21913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21913/events | https://github.com/pandas-dev/pandas/issues/21913 | 341,249,940 | MDU6SXNzdWUzNDEyNDk5NDA= | 21,913 | Default docs builds to a non-interactive matplotlib backend | {
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"followers_url": "https://api.github... | 0 | 2018-07-14T16:53:39Z | 2018-07-17T12:18:53Z | 2018-07-17T12:18:53Z | CONTRIBUTOR | null | `python make.py html` fails on Mac OS in a virtualenv, using a Python interpreter installed with pyenv, because the interpreter isn't a framework build, and matplotlib defaults to using the macosx interactive backend, which requires a framework build of the interpreter.
I think the docs build doesn't require an inte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21914/events | https://github.com/pandas-dev/pandas/pull/21914 | 341,250,163 | MDExOlB1bGxSZXF1ZXN0MjAxNDU5ODg1 | 21,914 | Use the Agg backend for docs builds | {
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Closes #21913. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21915/events | https://github.com/pandas-dev/pandas/pull/21915 | 341,264,596 | MDExOlB1bGxSZXF1ZXN0MjAxNDY3Mjg1 | 21,915 | [BUG] Fix interpolation for datetimelike dtypes | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Two bugs here, one fixed, one avoided. First is in `Block._interpolate` where datetimelike values were not cast correctly. Second is that `DataFrame.transpose... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21916 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21916/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21916/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21916/events | https://github.com/pandas-dev/pandas/pull/21916 | 341,268,251 | MDExOlB1bGxSZXF1ZXN0MjAxNDY5Mjk0 | 21,916 | Added links to useful discussions of groupby and SettingWithCopyWarning | {
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Did not run tests as only docs changed, but `python make.py --single groupby` and `python make.py --single indexing` successfully create the respective html files.
- [x] closes #17505
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https://api.github.com/repos/pandas-dev/pandas/issues/21918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21918/events | https://github.com/pandas-dev/pandas/issues/21918 | 341,289,148 | MDU6SXNzdWUzNDEyODkxNDg= | 21,918 | CLN: Addtional Refactoring of MultiIndex Tests | {
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The referenced issue and pull request split the MultiIndex tests into separate files and introduced additional fixtures. There is still outstanding comments from @jreback to finalize the cleanup.
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```python
import fletcher as fr
import pandas as pd
series = pd.Series(fr.FletcherArray([1, 2]))
series.max()
```... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21921/events | https://github.com/pandas-dev/pandas/pull/21921 | 341,328,385 | MDExOlB1bGxSZXF1ZXN0MjAxNTAyNzQ0 | 21,921 | BUG:Clip with a list-like threshold with a nan is broken (GH19992) | {
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- 2 tests amended in frame/test_analytics.py and series/test_analytics.py
- whatsnew entry added | {
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- [ ] tests added / passed
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I see no simple solution on how to make a test for this without introducing a whole new ExtensionArray class that is actually of scalar type `'i'`.
cc @jreback I'm wondering... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21923/events | https://github.com/pandas-dev/pandas/pull/21923 | 341,349,059 | MDExOlB1bGxSZXF1ZXN0MjAxNTEzNjU5 | 21,923 | [BUG] change types to Py_ssize_t to fix #21905 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21924/events | https://github.com/pandas-dev/pandas/pull/21924 | 341,349,603 | MDExOlB1bGxSZXF1ZXN0MjAxNTE0MDAz | 21,924 | move rename functionality out of internals | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
@jorisvandenbossche can you confirm this is what you had in mind in that issue? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21925/events | https://github.com/pandas-dev/pandas/issues/21925 | 341,355,270 | MDU6SXNzdWUzNDEzNTUyNzA= | 21,925 | Allow different methods of correlation when using corrwith | {
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"followers_url": "https://api.github... | 2 | 2018-07-15T21:50:46Z | 2018-12-31T13:17:55Z | 2018-12-31T13:17:55Z | MEMBER | null | Hi,
The `corr` method for DataFrames is exceedingly useful, especially since one can specify methods other than the Pearson correlation. I think it would be nice if this same argument were available when using `corrwith`. Perhaps there is another workaround, but right now if one wants to calculate all the Spearman... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21926/events | https://github.com/pandas-dev/pandas/pull/21926 | 341,365,035 | MDExOlB1bGxSZXF1ZXN0MjAxNTIzNDIz | 21,926 | Docstrings, de-duplicate EAMixin/DatetimeLikeIndex __new__ code | {
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"followers_url": "https://api.github... | 4 | 2018-07-16T00:26:50Z | 2018-07-20T21:03:21Z | 2018-07-20T20:43:38Z | MEMBER | null | There's a lot of duplication in the constructors and constructor-helpers. This starts to whittle that down, writes some docstrings long the way.
Also use `ExtensionOpsMixin` to define comparison operators on the EAMixin classes.
We determined that the DatetimeIndex._local_timestamps method had an unecessary mono... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21927/events | https://github.com/pandas-dev/pandas/issues/21927 | 341,379,387 | MDU6SXNzdWUzNDEzNzkzODc= | 21,927 | BLD: wheel building is broken | {
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seems this has been broken for 8 days
maybe the recent cython changes?
cc
@jbrockmendel | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21928/events | https://github.com/pandas-dev/pandas/pull/21928 | 341,380,927 | MDExOlB1bGxSZXF1ZXN0MjAxNTMzNzY2 | 21,928 | CLN: Address MulitIndex Test Follow Ups in Issue #21918 | {
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"followers_url": "https://api.github... | 5 | 2018-07-16T03:25:41Z | 2018-07-24T22:02:05Z | 2018-07-24T22:01:57Z | CONTRIBUTOR | null | - [x] closes #21918
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Addresses most of the issues. Left blowing away the old pickles for another issue which is still open. | {
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] | closed | false | null | [] | null | 3 | 2018-07-16T12:42:44Z | 2018-07-17T00:30:32Z | 2018-07-17T00:30:32Z | NONE | null | #### Code Sample, a copy-pastable example if possible
Importing pandas==0.23 with Anaconda's gcc environment raises an ImportError.
In order to reproduce
```
conda install gcc pandas
python -c "import pandas"
```
which results in
```
Python 3.6.0 |Continuum Analytics, Inc.| (default, Dec 23 2016, 12:22:0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21930/events | https://github.com/pandas-dev/pandas/pull/21930 | 341,508,494 | MDExOlB1bGxSZXF1ZXN0MjAxNjI5NDM3 | 21,930 | DEPR: Series.compress | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21931/events | https://github.com/pandas-dev/pandas/issues/21931 | 341,513,117 | MDU6SXNzdWUzNDE1MTMxMTc= | 21,931 | categorical column bugs pivot_table | {
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```python
test = pd.DataFrame({'closing_mois': {6483: 'juillet',
19771: 'avril',
19105: 'avril',
8025: 'novembre',
22642: 'mai',
1216: 'juillet',
21634: 'décembre',
19230: 'décembre',
11429: 'décembre',
24755: 'juin'},
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https://api.github.com/repos/pandas-dev/pandas/issues/21932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21932/events | https://github.com/pandas-dev/pandas/issues/21932 | 341,553,119 | MDU6SXNzdWUzNDE1NTMxMTk= | 21,932 | pivot_table produces inconsistent columns if applied to empty table | {
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"de... | open | false | null | [] | null | 2 | 2018-07-16T14:54:16Z | 2021-06-20T05:28:56Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
# Part 1
df1 = pd.DataFrame([], columns=['a', 'b', 'value'])
pivot1 = df1.pivot_table(index='a', columns='b', values='value',
aggfunc='count')
print(pivot1.columns)
#Output:
MultiIndex(levels=[['value'], []],
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21933/events | https://github.com/pandas-dev/pandas/pull/21933 | 341,571,341 | MDExOlB1bGxSZXF1ZXN0MjAxNjc3NzU3 | 21,933 | ENH: add iso-format support to to_timedelta (#21877) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/21934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21934/events | https://github.com/pandas-dev/pandas/pull/21934 | 341,592,196 | MDExOlB1bGxSZXF1ZXN0MjAxNjkzNzc4 | 21,934 | BUG: Properly handle lists for .mask | {
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"followers_url": "https://api.github... | 2 | 2018-07-16T16:37:41Z | 2018-07-17T19:47:31Z | 2018-07-17T19:40:40Z | MEMBER | null | Title is self-explanatory.
Closes #21891. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21935/events | https://github.com/pandas-dev/pandas/pull/21935 | 341,606,156 | MDExOlB1bGxSZXF1ZXN0MjAxNzA0MjA3 | 21,935 | CLN: Remove PeriodIndex.tz_convert, tz_localize | {
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"followers_url": "https://api.github... | 4 | 2018-07-16T17:22:39Z | 2018-07-19T19:45:33Z | 2018-07-18T01:00:19Z | CONTRIBUTOR | null | - [x] closes #21781
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- Removed PeriodIndex.tz_convert and PeriodIndex.tz_localize from PeriodIndex.
- Removed references to those methods in test_tz_convert_and_localize within test_timeseries
- Removed methods from the PeriodIndex class doc and... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21936/events | https://github.com/pandas-dev/pandas/issues/21936 | 341,621,846 | MDU6SXNzdWUzNDE2MjE4NDY= | 21,936 | Summary Method Misleading for Unsorted TimeseriesIndex Object | {
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... | closed | false | null | [] | null | 4 | 2018-07-16T18:14:22Z | 2020-04-01T03:28:53Z | 2020-04-01T03:28:53Z | NONE | null | #### Code Sample
```python
import pandas as pd
import numpy as np
np.random.seed = 12345
ts = pd.date_range(start='2018-01-01', end='2018-06-30', freq='M')
ts.summary() # Works as expected
> 'DatetimeIndex: 6 entries, 2018-01-31 to 2018-06-30\nFreq: M'
ts_scrambled = np.random.choice(ts, len(ts), replace... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21937/events | https://github.com/pandas-dev/pandas/issues/21937 | 341,709,174 | MDU6SXNzdWUzNDE3MDkxNzQ= | 21,937 | AttributeError: module 'numpy' has no attribute '__version__' | {
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Did a
conda update -n root conda
conda update --all
Now getting this:
Traceback (most recent call last):
import pandas as pd
File "c:\ProgramData\Anaconda3\lib\site-packages\pandas\__init__.py", line 23, in <module>
from pandas.compat.numpy import *
File "c:\Progra... | {
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"followers_url": "https://api.github... | 2 | 2018-07-16T23:44:05Z | 2018-11-06T03:51:07Z | 2018-11-06T03:51:07Z | CONTRIBUTOR | null | looks like the sav job has been failing forever because of times outs: https://travis-ci.org/pandas-dev/pandas-ci/builds
I disabled this for now; bigger issue is the pip job is failing. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21939/events | https://github.com/pandas-dev/pandas/issues/21939 | 341,729,123 | MDU6SXNzdWUzNDE3MjkxMjM= | 21,939 | [DISC] DatetimeIndex/TimedeltaIndex ops with integers should deprecated | {
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"followers_url": "https://api.github... | 3 | 2018-07-17T01:03:35Z | 2018-11-01T00:50:33Z | 2018-11-01T00:50:33Z | MEMBER | null | An example of the behavior that should be deprecated:
```
In [2]: dti = pd.date_range('2016-01-01', periods=3)
In [3]: dti + 1
Out[3]: DatetimeIndex(['2016-01-02', '2016-01-03', '2016-01-04'], dtype='datetime64[ns]', freq='D')
In [4]: dti[1] + 100
Out[4]: Timestamp('2016-04-11 00:00:00', freq='D')
In [5]: td... | {
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"followers_url": "https://api.github... | 13 | 2018-07-17T01:56:41Z | 2020-04-05T17:42:44Z | 2018-07-19T02:56:28Z | MEMBER | null | With the exception of Numpy-Deprecated-API-1.7 warnings that _any_ cython code produces, this fixes all remaining compiler warnings (... on py27, there's still a whole mess of them in py37).
Based on a little bit of profiling it looked like `npy_isnan(x)` gives a 40% perf improvement over `x != x`. But profiling is... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This adds a `method` argument to `DataFrame.corrwith()` which calls the corresponding correlation function which already exists within pandas. The default option "pearson" was originally implemented directly in this method, I ... | {
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Removes un unused util `docstring_wrapper`, closing #19676
- [x] closes #19676
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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"followers_url": "https://api.github.com/users/jre... | 2 | 2018-07-17T06:09:47Z | 2018-08-05T17:27:30Z | 2018-07-17T12:01:52Z | CONTRIBUTOR | null | #18894 laid out:
> We should add a big note on the top of each whatsnew that we are planning on dropping 2.7 support as of the end of 2018.
So far, this warning only appeared in v0.23.0, and can be easily missed these days. This PR adds them to the recent whatsnews, and also includes v0.23.3 in `whatsnew.rst`
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop.html
```
>>> df = pd.DataFrame(np.arange(12).reshape(3,4),
... columns=['A', 'B', 'C', 'D'])
>>> df
A B C D
0 0 1 2 3
1 4 5 6 7
2 8 9 10 11
```
panda allows to remove ... | {
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>>> df = pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'b'])
>>> ar = np.array(0)
>>> df.iloc[ar]
Traceback (most recent call last):
...
...
File "/home/float2/Documents/Python/Pandas/pandas/pandas/core/indexes/base.py", line 529, in _shallow_copy_with_infer
if not len(values) and 'dtype' not... | {
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`ValueError: Boolean array expected for the condition, not object
`
- [ ] closes #xxxxx
- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/21948 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21948/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21948/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21948/events | https://github.com/pandas-dev/pandas/issues/21948 | 341,935,854 | MDU6SXNzdWUzNDE5MzU4NTQ= | 21,948 | DEPR: read_table | {
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"followers_url": "https://api.github... | 3 | 2018-07-17T14:08:37Z | 2019-02-01T10:09:42Z | 2018-08-02T10:49:07Z | CONTRIBUTOR | null | Went through #18262 looking for an easy task, and deprecating `read_table` looked like one. Currently, there's a function factory `_make_parser_function` which produces both `read_csv` and `read_table` [here](https://github.com/pandas-dev/pandas/blob/537b65cb0fd2aa318e089c5e38f09e81d1a3fe35/pandas/io/parsers.py#L685-L... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21949 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21949/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21949/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21949/events | https://github.com/pandas-dev/pandas/issues/21949 | 342,001,869 | MDU6SXNzdWUzNDIwMDE4Njk= | 21,949 | MultiIndex.levels become duplicated and fail indexing when using fastparquet | {
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"followers_url": "https://api.github.com/users/jorisva... | 10 | 2018-07-17T16:52:23Z | 2019-04-24T07:11:38Z | 2019-04-24T07:11:32Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame(list(range(9)), pd.MultiIndex.from_product([['a', 'b', 'c'], [1, 2, 3]]), ['col'])
df.index
# MultiIndex(levels=[['a', 'b', 'c'], [1, 2, 3]],
# labels=[[0, 0, 0, 1, 1, 1, 2, 2, 2], [0, 1, 2, 0, 1, 2, 0, 1, 2]])
df.to_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21950 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21950/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21950/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21950/events | https://github.com/pandas-dev/pandas/issues/21950 | 342,019,550 | MDU6SXNzdWUzNDIwMTk1NTA= | 21,950 | DEPR: list of lists in Series.str.cat | {
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"followers_url": "https://api.github... | 1 | 2018-07-17T17:45:56Z | 2018-08-31T10:25:40Z | 2018-08-31T10:25:40Z | CONTRIBUTOR | null | The `.str.cat`-method is the only one in the `str`-accessor that takes another Series as an argument, and as such, is a bit of a special case (e.g. it had no index alignment until v0.23).
It makes sense to support lists of objects which get concatenated sequentially, and list of lists have been supported since at le... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21951 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21951/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21951/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21951/events | https://github.com/pandas-dev/pandas/issues/21951 | 342,024,611 | MDU6SXNzdWUzNDIwMjQ2MTE= | 21,951 | DEPR: join_axes-kwarg for pd.concat | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-07-17T18:01:15Z | 2019-07-03T11:32:54Z | 2019-07-03T11:32:54Z | CONTRIBUTOR | null | The `join_axes` kwarg of `pd.concat` is not very clearly documented (took me several tries to get it to work), and its name is not very clear either -- it's actually about restricting the axes that are not being concatenated (i.e. would be `'outer'`-joined normally).
In particular, it is basically irrelevant with th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21952 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21952/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21952/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21952/events | https://github.com/pandas-dev/pandas/issues/21952 | 342,054,323 | MDU6SXNzdWUzNDIwNTQzMjM= | 21,952 | Concatenation warning still appears with sort=False | {
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"followers_url": "https://api.github.... | 4 | 2018-07-17T19:32:23Z | 2019-08-04T21:59:13Z | 2019-08-04T21:59:13Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
a = pd.DataFrame(
{'col1': [1, 2, 3, 4, 5],
'col2': [6, 7, 8, 9, 10]},
index=['a', 'c', 'e', 'f', 'i'])
a.index.name = 'index_name'
b = pd.DataFrame(
{'col4': [1, 2, 3, 4, 5],
'col3': [1, 2, 3, 4, 5]},
index=['a', 'b',... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21953 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21953/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21953/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21953/events | https://github.com/pandas-dev/pandas/issues/21953 | 342,066,112 | MDU6SXNzdWUzNDIwNjYxMTI= | 21,953 | Adding units of measure to columns | {
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- User imports navigation data from CSV where altitudes may be in meters, latitude/longitude in radians, and headin... | {
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"followers_url": "https://api.github... | 29 | 2018-07-17T21:20:05Z | 2018-08-02T10:49:07Z | 2018-08-02T10:49:07Z | CONTRIBUTOR | null | `pd.read_table` is deprecated and replaced by `pd.read_csv`.
- [x] closes #21948
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/21955 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21955/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21955/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21955/events | https://github.com/pandas-dev/pandas/pull/21955 | 342,104,165 | MDExOlB1bGxSZXF1ZXN0MjAyMDg1ODg3 | 21,955 | [CLN] update and clean up imports | {
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Change a few cases of `com.AbstractMethodError` to import from `pandas.errors`
Otherwise mostly just rearranging imports in encouraged order.
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"followers_url": "https://api.github... | 3 | 2018-07-17T22:46:57Z | 2018-07-28T13:51:03Z | 2018-07-28T13:51:02Z | CONTRIBUTOR | null | ```python
>>> df = pd.DataFrame({'A': [np.nan, np.nan], 'B': ['a', 'b'], 'C':[1,2]})
>>> df.groupby(['A', 'B']).C.count()
Series([], Name: C, dtype: int64) # ok with numpy>=1.13
ValueError: minlength must be positive # with numpy <1.13
```
#### Problem description
Currently, ``SeriesGroupBy.count`` passes ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21957/events | https://github.com/pandas-dev/pandas/pull/21957 | 342,119,348 | MDExOlB1bGxSZXF1ZXN0MjAyMDk3NjU0 | 21,957 | BUG: bug in GroupBy.count where arg minlength passed to np.bincount must be None for np<1.13 | {
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"followers_url": "https://api.github... | 6 | 2018-07-17T23:03:08Z | 2018-08-01T10:43:13Z | 2018-07-28T13:51:03Z | CONTRIBUTOR | null | - [x] closes #21956
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
See #21956 for details. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21958/events | https://github.com/pandas-dev/pandas/pull/21958 | 342,144,044 | MDExOlB1bGxSZXF1ZXN0MjAyMTE1ODU5 | 21,958 | remove cnp cimports where possible | {
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"color": "207de5... | closed | false | null | [] | null | 1 | 2018-07-18T01:32:51Z | 2020-04-05T17:41:28Z | 2018-07-18T05:59:34Z | MEMBER | null | Not sure what it will take to get avoid the 1.7 deprecation warnings, will see if this helps.
Also curious whether cimporting from libc.stdint works on Appveyor. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21959/events | https://github.com/pandas-dev/pandas/issues/21959 | 342,147,228 | MDU6SXNzdWUzNDIxNDcyMjg= | 21,959 | DataFrame.nunique is incorrect for DataFrame with no columns | {
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"color": "d7... | closed | false | null | [] | {
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... | 6 | 2018-07-18T01:53:48Z | 2019-09-20T03:36:06Z | 2019-09-20T03:36:06Z | NONE | null | (edit by @TomAugspurger)
Current output:
```python
In [33]: pd.DataFrame(index=[0, 1]).nunique()
Out[33]:
Empty DataFrame
Columns: []
Index: [0, 1]
```
Expected Output is an empty series:
```python
Out[34]: Series([], dtype: float64)
```
Not sure what the expected dtype of that Series should be..... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21960/events | https://github.com/pandas-dev/pandas/pull/21960 | 342,158,890 | MDExOlB1bGxSZXF1ZXN0MjAyMTI2Mjg1 | 21,960 | standardize post-call treatment of get_dst_info, delay sorting calls | {
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"followers_url": "https://api.github... | 7 | 2018-07-18T03:04:13Z | 2018-07-25T00:43:34Z | 2018-07-20T12:29:21Z | MEMBER | null | @jreback we discussed how there are a bunch of functions that do really similar things with `get_dst_info` but have their slight idiosyncrasies. This standardizes them, and is really verbose so as to delay certain calls until absolutely necessary.
After this we can see about de-duplicating the 6ish occurrences of r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21961/events | https://github.com/pandas-dev/pandas/issues/21961 | 342,168,413 | MDU6SXNzdWUzNDIxNjg0MTM= | 21,961 | reading file with empty first column result in odd behavior | {
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"color": "bfe5bf"... | closed | false | null | [] | null | 5 | 2018-07-18T04:00:09Z | 2018-07-19T16:33:21Z | 2018-07-19T16:33:20Z | NONE | null | #### Problem description
`read_excel(file, thousands=',', encoding='utf-8')`
create a DataFrame with an index with all NaNs when the first column of the excel file is empty
#### Expected Output
a generated index [0,1,2,3,4,5,...]
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
--... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21962/events | https://github.com/pandas-dev/pandas/pull/21962 | 342,171,772 | MDExOlB1bGxSZXF1ZXN0MjAyMTM0Nzk0 | 21,962 | Trim unncessary code in datetime/np_datetime.c | {
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"followers_url": "https://api.github... | 2 | 2018-07-18T04:23:43Z | 2020-04-05T17:41:30Z | 2018-07-20T12:30:14Z | MEMBER | null | `pydatetime_to_datetimestruct` does a ton of checking that boils down to "is this a valid datetime object?" Since the function only gets called after a type-check, we can assume it is a date/datetime and be a lot less verbose about it.
This also rips out an unnecessary layer of functions `convert_datetime_to_dateti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21963/events | https://github.com/pandas-dev/pandas/issues/21963 | 342,190,144 | MDU6SXNzdWUzNDIxOTAxNDQ= | 21,963 | df.groupby(.).plot.scatter() creates multiple plots | {
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"id": ... | open | false | null | [] | null | 1 | 2018-07-18T06:13:25Z | 2018-08-16T11:40:03Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame([[1, 2], [3, 4], [5, 6], [7, 8]], columns=['x', 'y'])
df['cat'] = [1, 2, 1, 2]
df.groupby('cat').plot.scatter(x='x', y='y')
```
#### Problem description
I just wanted to plot together different sets of points, with each set b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21964/events | https://github.com/pandas-dev/pandas/issues/21964 | 342,236,762 | MDU6SXNzdWUzNDIyMzY3NjI= | 21,964 | Feature Request: nested tables | {
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I would like to see nested tables. Yes, I know, I could contribute and write it myself, but I contribute to other open source projects already.
I have this question on [Stackoverflow](https://stackoverflow.com/questions/51027339/dataframe-table-in-table-from-nested-dictionary) (All description can be fo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21965 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21965/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21965/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21965/events | https://github.com/pandas-dev/pandas/issues/21965 | 342,249,043 | MDU6SXNzdWUzNDIyNDkwNDM= | 21,965 | Memory Leak with rolling quantile | {
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"color": "a10c02",
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"description": "Memory or execution spee... | closed | false | null | [] | {
"closed_at": "2018-08-06T10:11:39Z",
"closed_issues": 19,
"created_at": "2018-06-26T11:54:44Z",
"creator": {
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"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jre... | 0 | 2018-07-18T09:32:36Z | 2018-09-04T23:49:30Z | 2018-07-19T01:41:35Z | CONTRIBUTOR | null | #### Code Sample
```python
import os
import psutil
import pandas as pd
import numpy as np
process = psutil.Process(os.getpid())
i = 0
def sink():
global i
i += 1
if i % 100 == 0:
mem = process.memory_info().rss / 1e6
print("mem %fMB" % mem)
while True:
s = pd.Seri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21966 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21966/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21966/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21966/events | https://github.com/pandas-dev/pandas/pull/21966 | 342,262,796 | MDExOlB1bGxSZXF1ZXN0MjAyMjAxOTI0 | 21,966 | Fix memory leak in roll_quantile | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21967 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21967/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21967/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21967/events | https://github.com/pandas-dev/pandas/pull/21967 | 342,268,017 | MDExOlB1bGxSZXF1ZXN0MjAyMjA2MDUz | 21,967 | Backport PR #21921 on branch 0.23.x | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21968 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21968/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21968/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21968/events | https://github.com/pandas-dev/pandas/issues/21968 | 342,291,960 | MDU6SXNzdWUzNDIyOTE5NjA= | 21,968 | `.loc[] = pd.Series({...})` segmentation fault | {
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... | 7 | 2018-07-18T11:40:27Z | 2021-10-09T16:01:49Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
test.csv:
```
"A","B"
"Давид Юрченко","Tosno"
"Евгений Чернов","Tosno"
"Раде Дугалич","Tosno"
"Виталий Шахов","Tosno"
"Аслан Дудиев","Tosno"
"Вагиз Галиулин","Tosno"
"Нуну Роша","Tosno"
"Георгий Мелкадзе","Tosno"
```
test.py:
```python
import pand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21969 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21969/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21969/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21969/events | https://github.com/pandas-dev/pandas/issues/21969 | 342,299,172 | MDU6SXNzdWUzNDIyOTkxNzI= | 21,969 | Pivot_table drop rows whose entries are all NaN | {
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>>> dataframe = pd.DataFrame([['a', 1, 10], ['b', 10, 100], ['c', None, None], ['a', 2, 4]], columns=['lit', 'num1', 'num2'])
>>> dataframe.pivot_table(index='lit', columns='num1', values='num2', aggfunc='max')
num1 1.0 2.0 10.0
lit
a 10.0 4.0 NaN
b NaN NaN 100.0
```
Pivot_table is ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21970/events | https://github.com/pandas-dev/pandas/issues/21970 | 342,385,390 | MDU6SXNzdWUzNDIzODUzOTA= | 21,970 | Infer fixed width format using the whole file | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21971 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21971/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21971/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21971/events | https://github.com/pandas-dev/pandas/issues/21971 | 342,396,928 | MDU6SXNzdWUzNDIzOTY5Mjg= | 21,971 | Wrong `weekofyear` for dates close to end of year | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-07-18T16:11:22Z | 2018-07-18T20:44:56Z | 2018-07-18T20:44:44Z | NONE | null | ```python
import pandas as pd
d = pd.to_datetime("2008-12-30")
# This returns 1 instead of 53!!
d.weekofyear
```
#### Problem description
In some cases, dates near the end of the year yield a wrong `weekofyear` attribute (1 instead of 53)
Note that this does not happen for every year, eg this works:
```
d... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-07-18T19:33:32Z | 2018-07-18T20:46:28Z | 2018-07-18T20:39:26Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import datetime
d0 = datetime.date(1970, 1, 1) # python epoch
d1 = datetime.date(9999, 12, 31) # oft-used max-date in SAS / DB2
for days in range(106752, (d1 - d0).days): # 2932896 is the number of days
try:
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] | closed | false | null | [] | null | 2 | 2018-07-19T04:06:09Z | 2018-07-19T16:33:48Z | 2018-07-19T16:33:39Z | MEMBER | null | - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Used PyCharm inspections to check:
- Unused local variables
- Unreachable code
- `set([..])` to `{...}` | {
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It is very easy to use `df.sale_count.plot(figsize=(16, 8 ), kind='bar', xticks=range(24), grid=True)` .
The only fly in the ointment is that it is not as beautiful as convenience .
People have to change their code, why not accept seaborn as another plot backend ?
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] | closed | false | null | [] | null | 8 | 2018-07-19T11:07:41Z | 2018-07-20T16:16:24Z | 2018-07-20T16:16:24Z | CONTRIBUTOR | null | Hello.
I tried to save a dataframe with MultiIndex used as columns to a CSV file and load it back, but I had no luck.
```python
# Create a fame with multiindex columns
frame = pd.DataFrame({('AAPL', 'OPEN'): [1, 2, 3, 4], ('AAPL', 'CLOSE'): [1, 2, 3, 4], ('MSFT', 'OPEN'): [1, 2, 3, 4], ('MSFT', 'CLOSE'): [1, 2,... | {
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"followers_url": "https://api.github... | 6 | 2018-07-19T11:52:08Z | 2018-08-07T15:55:44Z | 2018-08-07T15:55:44Z | NONE | null | I have a pandas Series containing lists. I wanted to replace empty lists with NaN. My first approach was using .replace, but that unexpectedly gave me a maximum recursion error.
I am using pandas 0.21.1 on Python 3.4, but other users had the same problem on 0.23
```
import numpy as np
import pandas as
ts = pd... | {
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"followers_url": "https://api.github... | 16 | 2018-07-19T11:52:45Z | 2018-10-13T11:37:13Z | 2018-10-13T11:37:13Z | CONTRIBUTOR | null | We should make SparseArray a proper ExtensionArray.
It seems like this will be somewhat difficult to do *properly* when SparseArray subclasses ndarray. Basic things like `np.asarray(sparse_array)` don't match the required ExtensionArray API (https://github.com/pandas-dev/pandas/issues/14167). Fixing this, especially... | {
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] | closed | false | null | [] | null | 1 | 2018-07-19T16:14:31Z | 2018-07-19T16:19:23Z | 2018-07-19T16:19:15Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
temp_list = [i for i in range(1, 1441)]
df_daypart = pd.DataFrame(columns=temp_list)
for index, row in df_1.iterrows():
for element in temp_list:
if element == row['begin_day_part']:
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"followers_url": "https://api.github... | 10 | 2018-07-19T19:09:44Z | 2018-09-18T13:25:25Z | 2018-09-18T13:25:25Z | MEMBER | null | ```
arr = np.array([pd.Timestamp.now(), pd.Timedelta('2D')])
>>> arr - pd.Timedelta('1D')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: unsupported operand type(s) for -: 'numpy.ndarray' and 'Timedelta'
```
It should attempt to operate element-wise. | {
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"followers_url": "https://api.github... | 4 | 2018-07-19T19:13:32Z | 2020-04-05T17:40:45Z | 2018-07-23T10:01:53Z | MEMBER | null | - [x] closes #19369
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
@jreback @jorisvandenbossche discussed briefly at the sprint. Merits more thorough testing, but I'd like to get the go-ahead to separate out arithmetic tests that are common to... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Just fixing the following nonsensical error:
``` python
In [2]: pd.Series(range(10)).iloc['a']
---------------------------------------------------------------------------
TypeError ... | {
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SAS7BDATReader. This allows SAS datasets with dates too large
for pandas.datetime to be read in with the dates/datetimes as
SAS native float64 values, rather than trying (and failing) to convert
to pandas.datetime.
- [ ] closes #xxxx
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There's a decent argument to be made that `to_html` and/or `to_latex` should be included in "rendering methods", in large part because they both call `fmt.Formatter`. Holding off on that pending feedback. | {
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This batch is:
- Unreachable code
- Redefined function (in asv)
- Boolean equality comparison
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Removes non-noqa, seemingly non-controversial, unused local variables according to PyCharm. These are mostly redefined elsewhere or not used.
I added some TODO comments about other unused local variables that seem misused.
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"followers_url": "https://api.github... | 6 | 2018-07-20T08:00:50Z | 2018-07-26T13:01:09Z | 2018-07-26T13:00:55Z | CONTRIBUTOR | null | - [X] closes #2193
- [x] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
---
@TomAugspurger Hope you can review this.
BTW, perhpas you may want to change `Iterable` in `is_list_like()` to `Sequence`.
```python
gen = (i for i in range(10))
pan... | {
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```python
small_df = large_df.xs('location name', level='locations', drop_level=False, axis=1)
```
Seems pretty straightforwar... | {
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Will soon push a branch with more substantial changes - which however is still not ready (breaks some tests). | {
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df.droplevel(level, axis=0)
```
vs
```python
df.droplevel(level, axis=0, inplace=False)
```
#### Problem description
Currently `.droplevel` DataFrame / Series does not expose `inplace` kwarg, and it defaults to False under the hood, in `NDFrame.set_axis` method
cc @jreback @TomAugspurger | {
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"color": "e1... | closed | false | null | [] | null | 2 | 2018-07-20T14:37:41Z | 2019-09-18T14:02:14Z | 2019-09-18T14:02:14Z | CONTRIBUTOR | null |
```python
import pandas as pd
import numpy as np
In [59]: df = pd.SparseDataFrame({"A": pd.SparseSeries(np.array([1, 1, 0], dtype='uint8'), fill_value=0), "B": pd.SparseSeries(np.array([1, 1, 0], dtype='uint8'), fill_value=0)})
In [60]: df.dtypes
Out[60]:
A uint8
B uint8
dtype: object
In [61]: ... | {
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"followers_url": "https://api.github... | 5 | 2018-07-20T14:38:58Z | 2018-07-25T18:50:13Z | 2018-07-25T12:05:57Z | CONTRIBUTOR | null | - [x] closes #7589
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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"description": "pandas testing functions... | open | false | null | [] | null | 10 | 2018-07-20T14:45:54Z | 2021-06-21T01:00:46Z | null | CONTRIBUTOR | null | While going over some tests, I noticed the following [here](https://github.com/pandas-dev/pandas/blob/1f6ddc4592728c1a09fc0a81ca2a00c685b60a8e/pandas/tests/io/parser/header.py#L136-L150):
```python
df = DataFrame([[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]],
index=['one', 'two'],
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... | 7 | 2018-07-20T15:20:21Z | 2020-09-21T17:38:41Z | null | CONTRIBUTOR | null | Related: #7662
#### Code Sample, a copy-pastable example if possible
```python
from io import StringIO
import pandas as pd
CSV = "a|b\n1|2"
print(pd.read_csv(StringIO(CSV), sep=None, engine='python'))
print('is not the same as')
print(pd.read_csv(StringIO(CSV), delimiter=None, engine='python'))
print... | {
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"followers_url": "https://api.github... | 4 | 2018-07-20T15:47:29Z | 2018-07-20T20:46:17Z | 2018-07-20T20:46:13Z | CONTRIBUTOR | null | Previously, we did a scalar `elem == -1` for every element in the ndarray.
This replaces that check with a vectorized `array == -1`.
Running the ASV now. In the meantime, here's a simple timeit on the same problem
```python
# HEAD
In [3]: %timeit pd.get_dummies(s, sparse=True)
561 ms ± 4.96 ms per loop (mea... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21998 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21998/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21998/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21998/events | https://github.com/pandas-dev/pandas/issues/21998 | 343,168,741 | MDU6SXNzdWUzNDMxNjg3NDE= | 21,998 | ENH: Interval type should support intersection, union & overlaps & difference | {
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... | 3 | 2018-07-20T16:20:54Z | 2021-06-17T03:09:04Z | null | CONTRIBUTOR | null | #### Problem description
We have the Interval type in pandas, which is extremely useful, however the standard interval arithmetic operations are missing from the pandas implementation. I would be happy to work on this enhancement.
#### One should be able to do the following with `pandas.Interval`
The example u... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-07-20T18:48:18Z | 2018-07-20T18:53:40Z | 2018-07-20T18:53:15Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> idx = pd.CategoricalIndex(['low', 'low', 'hi', 'hi'])
>>> idx.reindex(idx)[0].values
[low, low, low, low, hi, hi, hi, hi]
Categories (2, object): [hi, low]
```
I'm not sure that it is unexpected behavior, but it seems to be one of the reasons ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22000 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22000/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22000/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22000/events | https://github.com/pandas-dev/pandas/issues/22000 | 343,212,331 | MDU6SXNzdWUzNDMyMTIzMzE= | 22,000 | [Enhancement] Can `by` arg in `.sort_index()` handle functions? | {
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```python
func_sort = lambda x: (x[0], x[1]) # or something
sorted_columns = sorted(df.columns, key=func_sort)
df_sorted = df.loc[:,sorted_columns]
```
but it would be cool to just do t... | {
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"followers_url": "https://api.github... | 8 | 2018-07-20T19:05:58Z | 2020-04-05T17:40:40Z | 2018-07-24T22:10:06Z | MEMBER | null | Moves a few console-checking functions to `io.formats.console`.
A bunch of core.common functions were never used outside of tests, got rid of em.
The ones I left alone were _any_not_none, _all_not_none etc, as I'm inclined to think these should be removed in favor of python builtins. | {
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"followers_url": "https://api.github... | 2 | 2018-07-20T19:09:19Z | 2018-07-26T16:20:56Z | 2018-07-26T12:41:33Z | MEMBER | null | BlockManager.get_scalar is never used outside of tests,
BlockManager._is_indexed_like is only ever called from `merge`, which is only called once in Panel, before which the indexed_like check is already done.
Also BlockPlacements.iadd was more complicated than it needed to be, so tore out bits of that. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22003/events | https://github.com/pandas-dev/pandas/issues/22003 | 343,232,770 | MDU6SXNzdWUzNDMyMzI3NzA= | 22,003 | IntegerArray docs follow-up | {
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Make it clear that it is opt-in only, by passing/casting dtype. For example `[24]` and `[27]` are still float64
More clear separation from numpy dtype - worry that `'int64'` vs `'Int64'` will be especially confusing for new people? Consider a different name altogether? (`NullableInt64`?)
```pyth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22004 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22004/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22004/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22004/events | https://github.com/pandas-dev/pandas/issues/22004 | 343,240,881 | MDU6SXNzdWUzNDMyNDA4ODE= | 22,004 | Defaulting to_csv to infer compression | {
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"followers_url": "https://api.github... | 2 | 2018-07-20T20:40:12Z | 2018-08-01T21:24:19Z | 2018-08-01T21:24:18Z | CONTRIBUTOR | null | This issue follows up on https://github.com/pandas-dev/pandas/pull/17900 by thanks @Dobatymo and @gfyoung with review from @jreback. https://github.com/pandas-dev/pandas/pull/17900 added an `'infer'` option to compression in `_get_handle`. The main user-facing benefit here is that `df.to_csv` will be able to infer comp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22005 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22005/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22005/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22005/events | https://github.com/pandas-dev/pandas/issues/22005 | 343,294,606 | MDU6SXNzdWUzNDMyOTQ2MDY= | 22,005 | DataFrame(Timestamp) add Timedelta fails | {
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"followers_url": "https://api.github... | 0 | 2018-07-21T03:58:09Z | 2018-08-14T10:49:11Z | 2018-08-14T10:49:11Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
pd.DataFrame([pd.Timestamp('2018')]) + pd.Timedelta('1d')
# Traceback (most recent call last):
# File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 1355, in eval
# transf(values), other)
# File "/usr/local/lib/pyth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22006 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22006/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22006/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22006/events | https://github.com/pandas-dev/pandas/pull/22006 | 343,299,080 | MDExOlB1bGxSZXF1ZXN0MjAyOTkzNjcz | 22,006 | Fix for issue #21150, using a simple lock to prevent an issue with multiple threads accessing an Index | {
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... | closed | false | null | [] | null | 25 | 2018-07-21T05:22:04Z | 2018-11-23T03:35:20Z | 2018-11-23T03:35:20Z | CONTRIBUTOR | null | Hi,
First time working with Cython, and after uni did very little C/C++, so feel free to be a bit more serious about reviewing this pull request.
I am trying to practice more Python, and learn more about the code base of projects like Panda, and found the issue #21150, which happens a lot in Java (my main languag... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22007 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22007/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22007/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22007/events | https://github.com/pandas-dev/pandas/pull/22007 | 343,299,221 | MDExOlB1bGxSZXF1ZXN0MjAyOTkzNzY4 | 22,007 | core: fix DatetimeBlock operated with timedelta | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22008 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22008/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22008/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22008/events | https://github.com/pandas-dev/pandas/pull/22008 | 343,312,359 | MDExOlB1bGxSZXF1ZXN0MjAzMDAxNzMy | 22,008 | core: try coerce result back to DatetimeBlock | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
---
Hang up until `Block.eval` reformed. | {
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`compat.text_type == unicode if PY2` | {
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- [x] closes #19720
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 38 | 2018-07-21T15:14:44Z | 2018-08-06T21:35:15Z | 2018-08-01T21:23:34Z | CONTRIBUTOR | null | - [x] closes https://github.com/pandas-dev/pandas/issues/22004
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This PR does the following:
- Update default compression for `to_csv`, `to_json`, and `to_pickle` methods to infer.
- Adds `test_c... | {
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