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https://api.github.com/repos/pandas-dev/pandas/issues/27213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27213/events | https://github.com/pandas-dev/pandas/issues/27213 | 463,850,166 | MDU6SXNzdWU0NjM4NTAxNjY= | 27,213 | Incomplete copying with df.column.values | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-07-03T16:37:11Z | 2019-07-03T19:48:33Z | 2019-07-03T19:48:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
my_test_df = pd.DataFrame(pd.Series([1,2,3,4,5]))
my_test_df.columns = ['a']
print(my_test_df)
c = my_test_df.a.values
c = c*5
print("after c")
print(my_test_df)
print(c)
e = my_test_df.a.values
for i in range(0, len(c)):
e[i] = e[i] * 5
print... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27214/events | https://github.com/pandas-dev/pandas/issues/27214 | 463,850,803 | MDU6SXNzdWU0NjM4NTA4MDM= | 27,214 | pd.get_dummies different default return type than .str.get_dummies | {
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... | 6 | 2019-07-03T16:38:54Z | 2021-07-10T17:48:26Z | null | NONE | null | Let's consider this dataframe with both integer and string values in two columns
```python
import pandas as pd
df = pd.DataFrame({'col1': [0,1,1,0,1], 'col2':list('aabbc')})
```
When I want to use ```str.get_dummies``` on one column and want -1 instead of 1, I can do:
```python
print (-df.col2.str.get_dummies())... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27215/events | https://github.com/pandas-dev/pandas/issues/27215 | 463,877,439 | MDU6SXNzdWU0NjM4Nzc0Mzk= | 27,215 | Cannot hash table with index containing mixed types including non utf-8 bytes strings | {
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```
import pandas
from pandas.util import hash_pandas_object
hash_pandas_object(pandas.DataFrame({'a': [1,2]}, index=[1, b'\xff1']), encoding='latin1')
```
UnicodeDecodeError: 'ascii' codec can't decode byte 0xff in position 0: ordinal not in range(128)
#### Problem description
This is pretty n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27216/events | https://github.com/pandas-dev/pandas/pull/27216 | 463,937,514 | MDExOlB1bGxSZXF1ZXN0Mjk0MzE3MzUx | 27,216 | DOC: Add 0.25.0 to whatsnew index | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27217/events | https://github.com/pandas-dev/pandas/issues/27217 | 463,945,827 | MDU6SXNzdWU0NjM5NDU4Mjc= | 27,217 | PERF: benchmarks are hitting .ix & other warnings | {
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"followers_url": "https://api.github.com/users/j... | 7 | 2019-07-03T20:47:01Z | 2019-07-09T21:00:12Z | 2019-07-09T21:00:12Z | CONTRIBUTOR | null | ERROR: type should be string, got "https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=13969 (off of a PR)\r\n\r\nshows quite a number of warnings of the form; we should either suppress or remove the benchmark.\r\n\r\n ```\r\n24.97%] ··· io.msgpack.MSGPack.time_read_msgpack 25.2±0ms\r\n[ 24.97%] ···· /home/vsts/work/1/s/asv_bench/benchmarks/io/msgpack.py:18: FutureWarning: to_msgpack is deprecated and will be removed in a future version.\r\n It is recommended to use pyarrow for on-the-wire transmission of pandas objects.\r\n self.df.to_msgpack(self.fname)\r\n /home/vsts/miniconda3/envs/pandas-dev/lib/python3.7/timeit.py:6: FutureWarning: The read_msgpack is deprecated and will be removed in a future version.\r\n It is recommended to use pyarrow for on-the-wire transmission of pandas objects.\r\n times. See also Tim Peters' introduction to the Algorithms chapter in\r\n```\r\n\r\n```\r\n 6.83%] ···· For parameters: 0\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:329: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[50:1000, 20:50] = np.nan\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:330: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[2000:3000] = np.nan\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:331: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[:, 60:70] = np.nan\r\n \r\n For parameters: 1\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:329: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[50:1000, 20:50] = np.nan\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:330: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[2000:3000] = np.nan\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:331: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[:, 60:70] = np.nan\r\n\r\n[ 6.89%] ··· frame_methods.Count.time_count_level_multi ok\r\n[ 6.89%] ··· ====== ==========\r\n axis \r\n ------ ----------\r\n 0 78.6±0ms \r\n 1 114±0ms \r\n ====== ==========\r\n\r\n[ 6.89%] ···· For parameters: 0\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:329: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[50:1000, 20:50] = np.nan\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:330: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[2000:3000] = np.nan\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:331: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[:, 60:70] = np.nan\r\n \r\n For parameters: 1\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:329: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[50:1000, 20:50] = np.nan\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:330: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[2000:3000] = np.nan\r\n /home/vsts/work/1/s/asv_bench/benchmarks/frame_methods.py:331: FutureWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\r\n self.df.ix[:, 60:70] = np.nan\r\n\r\n[ 6.96%] ··· frame_methods.Describe.time_dataframe_describe 133±0ms\r\n[ 7.02%] ··· frame_methods.Describe.time_series_describe 44.2±0ms\r\n```" | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27218 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27218/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27218/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27218/events | https://github.com/pandas-dev/pandas/issues/27218 | 463,949,601 | MDU6SXNzdWU0NjM5NDk2MDE= | 27,218 | ExtensionArray.argsort and nargsort | {
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... | 4 | 2019-07-03T20:57:07Z | 2021-07-10T17:49:57Z | null | CONTRIBUTOR | null | 47ffcd674 changes how we handle sorting EAs. We've made `nargsort` compatible with extension arrays. It now calls `ExtensionArray._values_for_argsort` and then applies pandas `nargsort` sorting algorithm to the values.
This may have broken the (implied) ability for ExtensionArray's to "bring their own" sorting algor... | {
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For a scalar `Interval` this should return a boolean:
```python
In [2]: pd.Interval(0, 0, closed='neither').is_empty
Out[2]: Tru... | {
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```python
from pandas.io.json import json_normalize
data = [{'state': 'Florida',
'shortname': 'FL',
'info': {
'governor': 'Rick Scott'
},
'counties': [{'name': 'Dade', 'population': 12345},
{'name': 'Broward', 'populati... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27221 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27221/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27221/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27221/events | https://github.com/pandas-dev/pandas/pull/27221 | 463,973,979 | MDExOlB1bGxSZXF1ZXN0Mjk0MzQ3NTQ0 | 27,221 | ENH: Implement is_empty property for Interval structures | {
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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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This is a follow up to #2311 which has been closed after read support was implemented in #25427 .
People whose work flow involve outputting ODS files would benefit from write support.
.~´ | {
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```
In [3]: arr = np.arange(10**5)
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] | closed | false | null | [] | null | 2 | 2019-07-04T09:41:10Z | 2019-07-04T12:42:37Z | 2019-07-04T12:42:37Z | NONE | null | **Title**: The "release notes" link for v0.25.0rc0 release announcement is broken
**Version**: v0.25.0rc0 pre-release
**Steps to reproduce**:
1. Open your browser,
2. Navigate to pandas releases page (https://github.com/pandas-dev/pandas/releases),
3. Click on the "release notes" link for the v0.25.0rc0 pre-releas... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-07-04T12:39:10Z | 2019-07-08T01:36:42Z | 2019-07-08T01:36:42Z | MEMBER | null | After https://github.com/pandas-dev/pandas/pull/27076, we should update the contributing guide on how to use black (and pre-commit hook).
We should also put somewhere a short guideline on how to "update" your PR to resolve conflicts. | {
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Whoops (that's the RC).
Skipping that test for the RC. Will push a fix and re-enable push a fix. | {
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<img width="454" alt="Screen Shot 2019-07-04 at 1 45 05 PM" src="https://user-images.githubusercontent.com/306380/60667707-13579000-9e62-11e9-88e6-ea1153057152.png">
- [x] closes #8829
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27229 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27229/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27229/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27229/events | https://github.com/pandas-dev/pandas/pull/27229 | 464,298,923 | MDExOlB1bGxSZXF1ZXN0Mjk0NjA4MTg4 | 27,229 | REF: separate indexer utilities from indexing.py | {
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- Take simple, low-dependency, not-used-in-indexing.py functions out of indexing.py and put them in indexers.py.
- A couple of runtime-defined functions in internals get moved here too.
- Avoids some runtime imports (i.e. simplify dependency structure)
- Fixes some incorrect p... | {
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] | closed | false | null | [] | null | 2 | 2019-07-04T15:17:49Z | 2019-07-04T15:21:41Z | 2019-07-04T15:21:33Z | CONTRIBUTOR | null | #### Code Sample
```python
a = pd.DataFrame([1], index=[1], columns=['1'])
a.columns.names = ['n']
b = pd.DataFrame([1, 1], index=['1', '2'], columns=[1]).T
b.columns.names = ['n']
df1 = pd.concat([a, b])
a = pd.DataFrame([1], index=[1], columns=[1])
a.columns.names = ['n']
b = pd.DataFrame([1, 1], index=[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27231/events | https://github.com/pandas-dev/pandas/pull/27231 | 464,344,361 | MDExOlB1bGxSZXF1ZXN0Mjk0NjQ0NzA5 | 27,231 | STYLE: add black makefile & skip some dirs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27232/events | https://github.com/pandas-dev/pandas/issues/27232 | 464,360,337 | MDU6SXNzdWU0NjQzNjAzMzc= | 27,232 | Line Length Specification in Contributing Documentation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27233/events | https://github.com/pandas-dev/pandas/pull/27233 | 464,363,615 | MDExOlB1bGxSZXF1ZXN0Mjk0NjU5ODE1 | 27,233 | DOC: update contributing guidelines for black | {
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Starting this by copying some content from dask (https://github.com/dask/dask/pull/4983)
Also related to https://github.com/pandas-dev/pandas/issues/23616 (recommending pre-commit hooks)
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https://api.github.com/repos/pandas-dev/pandas/issues/27234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27234/events | https://github.com/pandas-dev/pandas/issues/27234 | 464,399,948 | MDU6SXNzdWU0NjQzOTk5NDg= | 27,234 | Preserve data types in pandas.DataFrame.mean() | {
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"color": "006... | closed | false | null | [] | null | 2 | 2019-07-04T21:40:19Z | 2019-11-12T20:35:17Z | 2019-11-12T20:35:16Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame([[1,1+1j,True],[1,0,False],[1,1j,True]])
df.mean()
```
#### Received output
```
0 (1+0j)
1 (0.3333333333333333+0.6666666666666666j)
2 (0.6666666666666666+0j)
dtyp... | {
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] | closed | false | null | [] | null | 6 | 2019-07-04T22:01:02Z | 2019-08-16T14:42:31Z | 2019-07-09T12:59:53Z | CONTRIBUTOR | null | - [x] closes #27178
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I modified the docstring for the Series class to include the "fastpath" and "name" parameters. I searched the code base, and also modified the docstrings for the following clas... | {
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AFAICT this is the only non-test usage of libalgos.arrmap_object. | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Added a key parameter to the DataFrame/Series.sort_values and sort_index functions matching Python sorted semantics for allowing custom sorting orders. Address open issue https:/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27238/events | https://github.com/pandas-dev/pandas/pull/27238 | 464,417,380 | MDExOlB1bGxSZXF1ZXN0Mjk0NzAxMTcy | 27,238 | REF: make ops a directory | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27239/events | https://github.com/pandas-dev/pandas/pull/27239 | 464,426,266 | MDExOlB1bGxSZXF1ZXN0Mjk0NzA3Njc0 | 27,239 | BUG: Fix divmod fill value, closes #26987 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Takes over from #27130 by implementing dispatch_fill_zeros. This is unfortunately similar to dispatch_missing, and eventually the two functions will be merged. ATM I'm trying ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27240/events | https://github.com/pandas-dev/pandas/issues/27240 | 464,446,065 | MDU6SXNzdWU0NjQ0NDYwNjU= | 27,240 | how can i read 'null' as a real str in read_excel | {
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"descript... | closed | false | null | [] | null | 1 | 2019-07-05T03:29:10Z | 2019-07-05T16:43:02Z | 2019-07-05T16:42:55Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
na_values = pandas.io.common._NA_VALUES.difference({'null','NULL'})
excelbook = pandas.read_excel(configpath,sheet_name=sheetIndex,index_col=False,na_values=na_values)
```
#### Problem description
there's a word 'null' in my excel file.but it becom... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27241 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27241/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27241/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27241/events | https://github.com/pandas-dev/pandas/issues/27241 | 464,446,839 | MDU6SXNzdWU0NjQ0NDY4Mzk= | 27,241 | Ignore flattening certain keys in `json_normalize` | {
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... | 2 | 2019-07-05T03:33:45Z | 2021-07-10T17:53:19Z | null | CONTRIBUTOR | null | Sub issue of #23843
#### Code Sample, a copy-pastable example if possible
```python
data = [{"CreatedBy":{"Name": "User001"},
"Lookup":{"TextField":"Some text"},
"Image":{"a":"b"}}]
json_normalize(data).to_json(orient="records")
```
#### Current Output
```
[{"CreatedBy.Name":"User001",
... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
In #27138 I proposed doing some changes to ``MultiIndex``, so that the index type can have its data collected in ``_data`` as type ``List[Categorical]``,+ adding ``Mu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27243/events | https://github.com/pandas-dev/pandas/pull/27243 | 464,497,374 | MDExOlB1bGxSZXF1ZXN0Mjk0NzYyMzcw | 27,243 | BUG: merge_asof with multiple by columns with tz | {
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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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the dataframe contains two string columns and one has lists of words.
```python
1840679it [1:16:28, 401.19it/s]
Traceback (most recent call last):
File ".../main.py", line 15, in <module>
data.load_data()
File ".../data.py", line 118, in load_data
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- [x ] tests added / passed
- [x ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
# Your code here
import pandas as pd
import numpy as np
# first example: non-overlapping intervals
cols = pd.IntervalIndex.from_tuples([(1, 2), (2, 3), (3, 4)])
data = pd.DataFrame(np.random.rand(3, 3), columns=cols)
print(data[data.columns[0]]... | {
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"id": 76865106,
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"closed_at": "2019-07-19T00:34:29Z",
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Picked up version 0.25.0rc0 last night:
https://files.pythonhosted.org/packages/19/b6/124914598447928889c6fe08a3e40ff791e1c66c7f6e3234374eefe38359/pandas-0.25.0rc0-cp35-cp35m-win_amd64.whl#sha256=ef9976c835d4a3f1de54b0d176711d27952b48cdf752b37fe60e69395fe35b9b
`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27248 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27248/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27248/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27248/events | https://github.com/pandas-dev/pandas/issues/27248 | 464,608,224 | MDU6SXNzdWU0NjQ2MDgyMjQ= | 27,248 | DataFrame.__setitem__ with MultiIndex fails when expanding with new key | {
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"description": "Related to indexing on s... | open | false | null | [] | null | 2 | 2019-07-05T12:00:44Z | 2021-07-10T17:54:31Z | null | NONE | null | ```python
import pandas as pd
df = pd.DataFrame({'ID': [1, 2, 3, 4],
'DT': [2018, 2018, 2017, 2018],
'F1': [0, 1, 0, 0],
'F2': [0, 0, 1, 0] })
df.loc[5]= [5, 2019, 1, 0] # this works
indexed= df.set_index(['ID', 'DT'], inplace=False)
indexed.loc[(2, 20... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27249 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27249/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27249/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27249/events | https://github.com/pandas-dev/pandas/issues/27249 | 464,618,041 | MDU6SXNzdWU0NjQ2MTgwNDE= | 27,249 | Bug in invalid values of errors argument in pd.to_numeric | {
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```python
s = pd.Series(['apple', '1.0', '2', -3])
# both code work
pd.to_numeric(s, errors='abc')
pd.to_numeric(s, errors='coerce')
```
#### Problem description
If there is a typo or any value assigned to `errors` argument other than `raise` nor `ignore... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27250 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27250/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27250/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27250/events | https://github.com/pandas-dev/pandas/issues/27250 | 464,618,427 | MDU6SXNzdWU0NjQ2MTg0Mjc= | 27,250 | Incorrect Message in KeyError with MultiIndex | {
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"color": "207d... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-07-05T12:28:32Z | 2019-07-09T20:57:37Z | 2019-07-09T20:57:37Z | NONE | null | #### Code Sample
```python
X = pd.DataFrame(dict(A=[1, 1, 1, 2, 2, 2], B=[1, 2, 3, 1, 2, 3], C=[1, 2, 3, 4, 5, 6], D=list("abcdef")))
X = X.set_index(["A", "B", "C"])
X.loc[(1, 1, 2), :]
```
#### Problem description
This correctly throws a `KeyError` but the message is incorrect, instead of showing `"KeyErr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27251/events | https://github.com/pandas-dev/pandas/issues/27251 | 464,667,280 | MDU6SXNzdWU0NjQ2NjcyODA= | 27,251 | CLN: Can we remove libalgos.arrmap_*? | {
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] | closed | false | null | [] | null | 0 | 2019-07-05T14:32:21Z | 2019-07-23T21:14:53Z | 2019-07-23T21:14:53Z | MEMBER | null | Discussed in #27236, after that there will be only one non-test usage of libalgos.arrmap_* and it looks like it may be feasible to just use np.vectorize. Check if this is correct and if there is a perf impact. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27252 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27252/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27252/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27252/events | https://github.com/pandas-dev/pandas/issues/27252 | 464,675,955 | MDU6SXNzdWU0NjQ2NzU5NTU= | 27,252 | read_excel in version 0.25.0rc0 treats empty columns differently | {
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"id": 49254273,
"name": "IO Excel",
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"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20Excel"
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] | closed | false | null | [] | {
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```python
df = pandas.read_excel(
"data.xlsx",
sheet_name="sheet1",
usecols=[0, 1],
header=None,
names=["foo", "bar"]
)
print(df.head())
```
The Excel file has the cells `A7`=`1`, `A8`=`2`, `A9`=`3`, everything else is empty.
With pandas 0.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27253 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27253/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27253/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27253/events | https://github.com/pandas-dev/pandas/issues/27253 | 464,783,747 | MDU6SXNzdWU0NjQ3ODM3NDc= | 27,253 | BUG: _table_mod is 'NoneType' when it should not be | {
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] | closed | false | null | [] | null | 3 | 2019-07-05T22:00:09Z | 2019-07-21T00:37:16Z | 2019-07-21T00:37:16Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import supereeg as se
brain_object = se.load('example_data')
brain_object.save('example.bo')
```
#### Problem description
The package I work on, [SuperEEG](https://github.com/ContextLab/supereeg), uses [deepdish](https://github.com/uchicago-cs/d... | {
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"de... | closed | false | null | [] | null | 2 | 2019-07-05T22:03:16Z | 2019-07-07T21:51:51Z | 2019-07-07T21:51:38Z | MEMBER | null | At the sprint there was discussion of trimming down the exposed surface of internals. Among the things that makes this difficult is identifying exactly what that surface is. This makes it feasiable to grep for all accesses by using the unambiguous `._mgr` instead of the overloaded `._data`. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27255/events | https://github.com/pandas-dev/pandas/pull/27255 | 464,785,429 | MDExOlB1bGxSZXF1ZXN0Mjk0OTkxNTYz | 27,255 | Fix _table_mod is 'NoneType' issue | {
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] | closed | false | null | [] | null | 1 | 2019-07-05T22:10:45Z | 2019-07-21T00:36:52Z | 2019-07-21T00:36:51Z | NONE | null | - [x] closes #27253
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Currently in get_node() it is not guaranteed that _table_mod is not none, and this breaks some packages that depend on Pandas, forcing use of older versions of Pandas. I added ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27256/events | https://github.com/pandas-dev/pandas/pull/27256 | 464,805,646 | MDExOlB1bGxSZXF1ZXN0Mjk1MDA2NTY4 | 27,256 | BUG: Enable changing dtype of column where column names are not unique | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27257 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27257/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27257/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27257/events | https://github.com/pandas-dev/pandas/pull/27257 | 464,806,807 | MDExOlB1bGxSZXF1ZXN0Mjk1MDA3Mzcy | 27,257 | REF: ops.missing | {
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- module-level docstring giving the motivation for these functions
- tiny optimization:
```
if op in [operator.floordiv, operator.truediv, getattr(operator, "div", None)]:
result = mask_zero_div_zero(left, right, result)
```
becom... | {
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The change in that PR broke a test in geopandas. We are using some indexing internals in geopandas that were relying on an InvalidIndexError being catched there (and the PR changed it to only TypeError and KeyError.
A small reproducible e... | {
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I _think_ we can also get rid of the transpose kwarg in putmask, separate pass. | {
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```
import pandas as pd
import numpy as np
idx = pd.date_range('2000', '2005', freq='d', closed='left')
datas = pd.DataFrame({'Color': [ 'green' if x> 1 else 'red' for x in np.random.randn(len(idx))],
'Measure': np.random.randn(len(idx)), 'Year'... | {
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] | closed | false | null | [] | null | 26 | 2019-07-06T14:57:57Z | 2019-12-17T17:45:56Z | 2019-12-17T17:45:55Z | CONTRIBUTOR | null | - [x] closes #27241
- [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/27263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27263/events | https://github.com/pandas-dev/pandas/issues/27263 | 464,865,600 | MDU6SXNzdWU0NjQ4NjU2MDA= | 27,263 | pandas 0.24.2 problem on python 3.4.8: 'colletions' has no attribute 'abc' in pandas/combat/__init__.py line 139. | {
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```python
import pandas as pd
path = "./demo.dat"
data = pd.read_table(path,header=None,names=["id","label2","text"],sep='\s+')
```
#### Problem description
I install pandas 0.24.2 in Python 3.4.8. When I just import pandas, there is a bug. I open the `/usr/lib64/python3.4/site-packages/pandas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27266 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27266/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27266/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27266/events | https://github.com/pandas-dev/pandas/pull/27266 | 464,877,611 | MDExOlB1bGxSZXF1ZXN0Mjk1MDU0NDUw | 27,266 | BLD: support 3.8 pre | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27267/events | https://github.com/pandas-dev/pandas/pull/27267 | 464,883,687 | MDExOlB1bGxSZXF1ZXN0Mjk1MDU4NTM5 | 27,267 | ENH: Add Series method to explode a list-like column | {
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closes #16538
closes #10511
Sometimes a values column is presented with list-like values on one row.
Instead we may want to split each individual value onto its own row,
keeping the same mapping to the other key columns. While it's possible
to chain together existing pandas operations (in fac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27268 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27268/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27268/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27268/events | https://github.com/pandas-dev/pandas/pull/27268 | 464,891,363 | MDExOlB1bGxSZXF1ZXN0Mjk1MDYzNTI2 | 27,268 | REF: Avoid dispatching Series ops to pd.Index | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27269/events | https://github.com/pandas-dev/pandas/pull/27269 | 464,909,030 | MDExOlB1bGxSZXF1ZXN0Mjk1MDc0OTEz | 27,269 | CLN: Remove unused SparseArray code | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27270 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27270/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27270/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27270/events | https://github.com/pandas-dev/pandas/issues/27270 | 464,912,120 | MDU6SXNzdWU0NjQ5MTIxMjA= | 27,270 | pandas groupby RETURNS ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long long' | {
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] | closed | false | null | [] | null | 5 | 2019-07-07T03:55:18Z | 2019-07-11T04:00:28Z | 2019-07-11T04:00:28Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27271/events | https://github.com/pandas-dev/pandas/pull/27271 | 464,913,408 | MDExOlB1bGxSZXF1ZXN0Mjk1MDc3ODEx | 27,271 | TST: parametrize sparse array arithmetic tests | {
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I'm pretty sure we can take this even further, saving it for another pass since the diff here is already pretty big. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27272 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27272/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27272/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27272/events | https://github.com/pandas-dev/pandas/pull/27272 | 464,940,551 | MDExOlB1bGxSZXF1ZXN0Mjk1MDk1Nzgx | 27,272 | Added get_train_test_stratified_by_time_and_col | {
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**stratify_split_col_name**: The column name which has to be split in train and test in a stratified way.
**time_sort_col_name**: The... | {
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The trickiest part is probably ensuring that the configuration works on as many machines as possible. Can people try this out locally and let me know if / how it works? | {
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Closes https://github.com/pandas-dev/pandas/issues/27227 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Weighted std could be implemented but there are also other functions weighted `Window` is lacking. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27276/events | https://github.com/pandas-dev/pandas/pull/27276 | 464,956,427 | MDExOlB1bGxSZXF1ZXN0Mjk1MTA2NjA1 | 27,276 | TST/CLN: remove try block from test_indexing_over_size_cutoff_period_index | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27277/events | https://github.com/pandas-dev/pandas/pull/27277 | 464,966,008 | MDExOlB1bGxSZXF1ZXN0Mjk1MTEzMDUw | 27,277 | TST/CLN: remove try block from tests/test_strings.py::TestStringMetho… | {
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it looks like this was probably added for debugging. This is not necessary with parametrisation. | {
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A couple of other small misc changes ported from other branches, will be noted inline. | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/27280 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27280/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27280/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27280/events | https://github.com/pandas-dev/pandas/pull/27280 | 464,981,710 | MDExOlB1bGxSZXF1ZXN0Mjk1MTIzMzE2 | 27,280 | DOC: cleanup docstring for read_json and fix error in contribution guide | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
- Contribution Guide
- fix incorrect paths to doc folder
- read_json()
- add period to end of sentences
- conform parameter types to project standard
- add n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27282 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27282/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27282/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27282/events | https://github.com/pandas-dev/pandas/issues/27282 | 465,003,209 | MDU6SXNzdWU0NjUwMDMyMDk= | 27,282 | Cannot infer datetime dtype | {
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import pandas as pd
from pandas._libs import lib
test = pd.date_range("20110101", freq="s", periods=10).values
lib.infer_dtype(test, skipna = False)
print('Trying to infer datetime dtype:')
lib.infer_dtype(test.astype('O'), skipna = False)
lib.infer_dtype(test.tolist(), skipna = False)
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xref #27267
As the first step of moving towards integer-na dtypes as the primary integer type, we need to teach ``infer_dtype`` that ``integer-na`` is a valid inferred type, right now
```
In [1]: from pandas.api.types import infer_dtype ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27284 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27284/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27284/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27284/events | https://github.com/pandas-dev/pandas/pull/27284 | 465,047,212 | MDExOlB1bGxSZXF1ZXN0Mjk1MTY5NTI2 | 27,284 | BUG: Fix CategoricalIndex.__contains__ with non-hashable, closes #21729 | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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```python
In [6]: pd.Timedelta(6, 'M')
Out[6]: Timedelta('182 days 14:54:36')
In [7]: pd.Timedelta('6M')
Out[7]: Timedelta('0 days 00:06:00')
In [8]: pd.Timedelta(6, 'W')
Out[8]: Timedelta('42 days 00:00:00')
In [9]: pd.Timedelta('6W')
Out[9]: Timedelta('42 days 00:00:00')
```
####... | {
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```python
import pandas as pd
df = pd.DataFrame({'Data': ['afoo abc: agsegsegs', 'b def: eafsegsg', 'c ghi:']})
df2 = df
df2.loc[:, 'foo2'] = df2.Data.fillna('').astype(str).str.extract(r'.*(\w{3}).*')
print df2['foo2']
```
#### Problem description
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cc @jbrockmendel | {
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```python
import pandas as pd
df = pd.DataFrame({'a':1}, index = [1])
print(df.append(pd.DataFrame(data={'a':0}, index=[0]), sort=False))
print(df.append(pd.DataFrame(data={'a':0}, index=[0]), sort=True))
```
#### Problem description
The sort kwarg ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [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/27292 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27292/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27292/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27292/events | https://github.com/pandas-dev/pandas/issues/27292 | 465,399,568 | MDU6SXNzdWU0NjUzOTk1Njg= | 27,292 | Infer names in MultiIndex.from_product if inputs have a name attribute | {
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] | closed | false | null | [] | null | 3 | 2019-07-08T18:29:41Z | 2019-09-18T13:42:37Z | 2019-09-18T13:42:37Z | NONE | null | It would be convenient to have `from_product` infer level names from inputs if at all possible.
### Current behavior
```python
>>> a = pd.Series([1, 2, 3], name='a')
>>> b = pd.Series(['a', 'b'], name='b')
>>> pd.MultiIndex.from_product([a, b])
MultiIndex(levels=[[1, 2, 3], ['a', 'b']],
codes=[[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27293 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27293/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27293/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27293/events | https://github.com/pandas-dev/pandas/issues/27293 | 465,419,762 | MDU6SXNzdWU0NjU0MTk3NjI= | 27,293 | Numpy requirement needs upper version limit for PY2 compatibility | {
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The current version of numpy that pip will attempt to install is... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27294 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27294/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27294/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27294/events | https://github.com/pandas-dev/pandas/pull/27294 | 465,424,164 | MDExOlB1bGxSZXF1ZXN0Mjk1NDY3OTI5 | 27,294 | CLN: Remove unused vars in roll_window | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27295 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27295/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27295/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27295/events | https://github.com/pandas-dev/pandas/issues/27295 | 465,433,558 | MDU6SXNzdWU0NjU0MzM1NTg= | 27,295 | BUG: Calling Series.astype('category') on a categorical series loaded using pd.read_pickle errors on pandas-0.25.0rc0 | {
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```python
import os
import pandas as pd
s = pd.Series(["a", "b", "c", "a"], dtype="category")
s.astype('category')
FILEPATH = 'example.pickle'
s.to_pickle(FILEPATH)
s = pd.read_pickle(FILEPATH)
os.remove(FILEPATH)
s.astype('category')
```
Out... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27296 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27296/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27296/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27296/events | https://github.com/pandas-dev/pandas/pull/27296 | 465,460,631 | MDExOlB1bGxSZXF1ZXN0Mjk1NDk3NzE0 | 27,296 | CLN: checks instead of try/except | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-07-08T21:08:15Z | 2019-07-10T00:04:59Z | 2019-07-09T20:48:31Z | MEMBER | null | Trying to whittle down try blocks in internals since many of them are unclear on the failure modes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27297/events | https://github.com/pandas-dev/pandas/issues/27297 | 465,465,763 | MDU6SXNzdWU0NjU0NjU3NjM= | 27,297 | BUG: DatetimeArray/Series incorrectly accepts timedelta64('NaT') for __setitem__ | {
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"description": "np.nan, pd.NaT, pd.NA, d... | closed | false | null | [] | {
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dti = pd.date_range('2016-01-01', periods=3)
nat = np.timedelta64('NaT')
dta = dti._data.copy()
dta[0] = nat # <-- should raise TypeError, doesn't
ser = pd.Series(dti.copy())
ser[1] = nat # <-- should raise TypeError, doesn't
df = pd.DataFrame(dti.copy())
df.loc[2, 0] = nat # <-- should raise TypeE... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27298/events | https://github.com/pandas-dev/pandas/pull/27298 | 465,475,235 | MDExOlB1bGxSZXF1ZXN0Mjk1NTA5NzU0 | 27,298 | REF: check can_hold_element instead of try/except | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-07-08T21:51:04Z | 2019-07-10T16:26:24Z | 2019-07-10T16:20:05Z | MEMBER | null | `_can_hold_element` is not well-documented, and in local testing it does _not_ match my intution of "we could do `self.values[:] = element` without raising". But adding two assertions in `fillna` _does_ work in all the tests:
```
# fillna, but if we cannot coerce, then try again as an ObjectBlock
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-07-08T21:53:23Z | 2019-07-09T20:42:59Z | 2019-07-09T20:42:59Z | CONTRIBUTOR | null | I believe after `seen.object_ = 1` here:
https://github.com/pandas-dev/pandas/blob/c64c9cb44222a42f7b02d4d6007919cd0645f1be/pandas/_libs/lib.pyx#L1956-L1958
should go `break` as well.
Test:
```python
size = 10**7
arr = list(range(size))
arr[0] = pd.NaT
arr = np.array(arr)
```
```python
%timeit lib.maybe_co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27300/events | https://github.com/pandas-dev/pandas/pull/27300 | 465,488,340 | MDExOlB1bGxSZXF1ZXN0Mjk1NTIwNDM1 | 27,300 | ENH: maybe_convert_objects seen NaT speed-up | {
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"followers_url": "https://api.github.com/users/j... | 9 | 2019-07-08T22:34:58Z | 2019-07-09T20:43:12Z | 2019-07-09T20:42:59Z | CONTRIBUTOR | null | - [X] closes #27299
- [X] tests added / passed
- [X] passes `black pandas`
- [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/27301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27301/events | https://github.com/pandas-dev/pandas/pull/27301 | 465,519,069 | MDExOlB1bGxSZXF1ZXN0Mjk1NTQ0OTYw | 27,301 | CLN: assorted cleanups | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27302/events | https://github.com/pandas-dev/pandas/pull/27302 | 465,524,704 | MDExOlB1bGxSZXF1ZXN0Mjk1NTQ5MTc5 | 27,302 | check early for non-scalar default_fill_value | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27303/events | https://github.com/pandas-dev/pandas/pull/27303 | 465,537,515 | MDExOlB1bGxSZXF1ZXN0Mjk1NTU4ODM4 | 27,303 | BUG: appending a Timedelta to Series incorrectly casts to integer | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [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/27304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27304/events | https://github.com/pandas-dev/pandas/pull/27304 | 465,553,457 | MDExOlB1bGxSZXF1ZXN0Mjk1NTcxMDQx | 27,304 | PERF: Suppress ix warnings benchmarks | {
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
~~TODO: add tests for suppressed warnings.~~
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https://api.github.com/repos/pandas-dev/pandas/issues/27305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27305/events | https://github.com/pandas-dev/pandas/pull/27305 | 465,616,211 | MDExOlB1bGxSZXF1ZXN0Mjk1NjIxMTUx | 27,305 | CLN: Split test_window.py | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
`test_window.py` was getting fairly unwieldily. There a couple test classes that use a non-pytest-idomatic `Base` class, so those test classes are kept together for now... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27306/events | https://github.com/pandas-dev/pandas/issues/27306 | 465,710,519 | MDU6SXNzdWU0NjU3MTA1MTk= | 27,306 | TimeStamp column name to_csv date_format | {
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... | open | false | null | [] | null | 2 | 2019-07-09T10:49:55Z | 2020-04-02T04:50:36Z | null | NONE | null | Hi, I am new to github and this is my first post so sry for the layout.
#### Code
```python
import pandas as pd
date_parser = "%Y-%m-%d"
d = {'2019-07-09': [1, 2]}
df = pd.DataFrame(data=d)
df.columns = pd.to_datetime(df.columns, format=date_parser)
print(df)
df['second_column'] = df[df.columns]
print(df)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27307/events | https://github.com/pandas-dev/pandas/pull/27307 | 465,796,852 | MDExOlB1bGxSZXF1ZXN0Mjk1NzY3MjYz | 27,307 | STYLE: fix line length check of flake8 | {
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Black does not check or correct line length in comments or multiline strings (eg docstrings), so this st... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27308/events | https://github.com/pandas-dev/pandas/issues/27308 | 465,841,053 | MDU6SXNzdWU0NjU4NDEwNTM= | 27,308 | DOC: Validation errors on doctests with output too long for a single line | {
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] | open | false | null | [] | null | 1 | 2019-07-09T15:16:57Z | 2019-07-10T19:02:55Z | null | CONTRIBUTOR | null | RE: PR #27280
Multiple docstring tests are failing because of pretty whitespace formatting of the expected output. Here is an example from `read_json()` in `pandas/io/json/_json.py:500`
```python
Encoding/decoding a Dataframe using ``'split'`` formatted JSON:
>>> df.to_json(orient='split')
'{"columns":["col 1... | {
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- [x] passes `black pandas`
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Related to #25915, #26587, #24859, #26113, #10056 (orderedicts), #11181/#11416 (list of namedtuple). #25911.
**Update**: #13304/#13309 Was merged three years ago so... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27310/events | https://github.com/pandas-dev/pandas/issues/27310 | 465,916,205 | MDU6SXNzdWU0NjU5MTYyMDU= | 27,310 | Fillna with inplace=True not working with multiple columns but fine with single column | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-07-09T18:08:34Z | 2019-07-09T19:16:19Z | 2019-07-09T19:16:09Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
test = pd.DataFrame([[np.nan, 2, np.nan],
[3, 4, np.nan],
[np.nan, np.nan, 30],
[np.nan, 3, 5]],
columns=list('ABC'))
# Fo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27311/events | https://github.com/pandas-dev/pandas/pull/27311 | 465,924,946 | MDExOlB1bGxSZXF1ZXN0Mjk1ODcwNjgz | 27,311 | BUG: Fix inserting of wrong-dtyped NaT, closes #27297 | {
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Needs tests for PeriodDType case. The tests are probably not in the ideal place, how to move/parametrize them depends on what axis we want to sort ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27312/events | https://github.com/pandas-dev/pandas/issues/27312 | 465,927,708 | MDU6SXNzdWU0NjU5Mjc3MDg= | 27,312 | Solving merge conflicts in whatsnew once and for all | {
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```
towncrier is a utility to produce useful, summarised news files for your project.
Rather than reading the Git history as some newer tools to produce it, or
having one single file which developers all write to, towncrier reads
“news fr... | {
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