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https://api.github.com/repos/pandas-dev/pandas/issues/29814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29814/events | https://github.com/pandas-dev/pandas/issues/29814 | 527,526,922 | MDU6SXNzdWU1Mjc1MjY5MjI= | 29,814 | Pandas wrongly read Scipy sparse matrix | {
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"... | closed | false | null | [] | {
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```python
>>> from scipy.sparse import coo_matrix
>>> sparse_data = coo_matrix((
... [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
... ([0, 1, 1, 2, 2, 3, 3], [0, 1, 2, 0, 2, 0, 1])
... ))
>>> sparse_data.todense()
matrix([[0., 0., 0.],
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
xref https://github.com/pandas-dev/pandas/pull/29428#issuecomment-555882765
Puts `pandas/_libs/window.pyx` and `pandas/_libs/window_indexer.pyx` into their own directory as
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```python
import sys
import pandas
import numpy
print("# sys.version: " + sys.version)
print("# pandas.__version__: " + pandas.__version__)
print("# numpy.__version__: " + numpy.__version__)
d = pandas.DataFrame({
"a": [True, False],
"b": [1, 2],
"c": [3, 4]})
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https://api.github.com/repos/pandas-dev/pandas/issues/29820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29820/events | https://github.com/pandas-dev/pandas/pull/29820 | 527,621,281 | MDExOlB1bGxSZXF1ZXN0MzQ0ODUzMTI5 | 29,820 | PERF: faster categorical ops for equal or larger than scalar | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-11-23T23:03:34Z | 2019-11-25T22:58:22Z | 2019-11-25T22:54:58Z | CONTRIBUTOR | null | np.nan is always encoded to -1 in a Categorical, so encoded smaller than all other possible values.
So, if we're checking if a Categorical is equal or larger than a scalar, it is not necessary to find locations of -1, as those will always be False already.
### Performance
```python
>>> n = 1_000_000
>>> c = ... | {
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Looks like seaborn updated their usage in https://github.com/mwaskom/seaborn/pull/1241
and statsmodels https://github.com/statsmodels/statsmodels/pull/3618 both in 2017. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29823/events | https://github.com/pandas-dev/pandas/issues/29823 | 527,681,300 | MDU6SXNzdWU1Mjc2ODEzMDA= | 29,823 | Update logo in GitHub organization | {
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... | [] | closed | false | null | [] | null | 3 | 2019-11-24T10:58:33Z | 2019-11-25T13:36:51Z | 2019-11-25T13:36:42Z | MEMBER | null | Just realized that we still have the old logo in the GitHub organization: https://github.com/pandas-dev/
We probably want to have the [new one](https://dev.pandas.io/static/img/pandas_mark.svg), but I don't have permissions to do that.
May be an admin of the organization can make the change? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29824/events | https://github.com/pandas-dev/pandas/issues/29824 | 527,725,672 | MDU6SXNzdWU1Mjc3MjU2NzI= | 29,824 | using to_dict with the 'records' orient produces different results from the default one | {
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```
df = pd.DataFrame({'d': pd.date_range('2018-01-01', freq='12h', periods=2)})
for col in df.select_dtypes(['datetime']):
df[col] = pd.Series(df[col].dt.to_pydatetime(), dtype = 'object')
```
using the normal `to_dict` returns the wanted results with the native python types
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https://api.github.com/repos/pandas-dev/pandas/issues/29825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29825/events | https://github.com/pandas-dev/pandas/pull/29825 | 527,739,877 | MDExOlB1bGxSZXF1ZXN0MzQ0OTM2NTc1 | 29,825 | CLN: BlockManager.apply | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29826/events | https://github.com/pandas-dev/pandas/pull/29826 | 527,761,152 | MDExOlB1bGxSZXF1ZXN0MzQ0OTUxOTU3 | 29,826 | Fix mypy errors for pandas\tests\series\test_operators.py | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The errors were:
```
pandas/tests/series/test_operators.py:824: error: "Type[Series]" has no attribute "div"
pandas/tests/series/test_operators.py:824: error: "Type[Serie... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29827/events | https://github.com/pandas-dev/pandas/issues/29827 | 527,768,389 | MDU6SXNzdWU1Mjc3NjgzODk= | 29,827 | YearOffset issue | {
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```python
import pandas as pd
import_date_end = pd.to_datetime("2019-01-01")
import_date_end - pd.offsets.YearOffset(n=8, normalize=True, month=1)
```
#### Problem description
It's because the YearOffset month is Jan and so is the given month
```
--------... | {
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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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- [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/29832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29832/events | https://github.com/pandas-dev/pandas/issues/29832 | 527,872,894 | MDU6SXNzdWU1Mjc4NzI4OTQ= | 29,832 | read_hdf() file name encoding with with accented or special characters on Windows | {
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"color": "444444",
"default": false,
"description": "Unicode strings",
"i... | open | false | null | [] | null | 4 | 2019-11-25T06:16:51Z | 2020-04-14T05:30:19Z | null | NONE | null | #### Problem description
pd.read_hdf() has the same issue as #15086. If the file path contains special characters (like Chinese) on Windows, it fails to read the file.
#### Output of ``pd.show_versions()``
INSTALLED VERSIONS
------------------
commit : None
python : 3.7.5.final.0
py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29833/events | https://github.com/pandas-dev/pandas/issues/29833 | 527,889,585 | MDU6SXNzdWU1Mjc4ODk1ODU= | 29,833 | Aggregation fails when grouping on more than one key and the column to aggregate is a tz-aware timestamp series | {
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"de... | closed | false | null | [] | null | 3 | 2019-11-25T07:02:02Z | 2019-11-26T01:00:31Z | 2019-11-26T00:59:29Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
(
pd.DataFrame(
data=[[pd.Timestamp('2019-11-11 09:00:00+00:00'), 'x1', 'y1']],
columns=['timestamp', 'x', 'y']
)
.groupby(['x', 'y'])
.agg({'timestamp': lambda series: None})
)
```
#### Pro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29834/events | https://github.com/pandas-dev/pandas/issues/29834 | 528,129,533 | MDU6SXNzdWU1MjgxMjk1MzM= | 29,834 | pivot_table with MultiIndex and margin=True fails with ValueError | {
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"description": "Concat, Merge/Join, Stac... | open | false | null | [] | null | 0 | 2019-11-25T14:38:06Z | 2021-07-23T05:02:57Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import string
import random
from datetime import datetime, timezone, date
import pandas as pd
import numpy as np
size_ = 100000
data_ = dict()
for n in range(2):
cat_ = ["".join(cc) for cc in np.random.choice(
[c for c in string.as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29835/events | https://github.com/pandas-dev/pandas/issues/29835 | 528,170,077 | MDU6SXNzdWU1MjgxNzAwNzc= | 29,835 | deleting index column but index=False not working | {
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```python
df_new.to_excel('Misclassification.xlsx',index=False)
df.to_excel(output_file_name,index=False)
```
#### Problem description
I tried to export the dataframe into excel, and wanted to avoid the index column. However even I use index=false, it st... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29836/events | https://github.com/pandas-dev/pandas/pull/29836 | 528,196,106 | MDExOlB1bGxSZXF1ZXN0MzQ1MzA1MDYw | 29,836 | ENH: XLSB support | {
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"followers_url": "https://api.github.com/users/wesm... | 31 | 2019-11-25T16:26:33Z | 2020-02-03T12:12:35Z | 2020-01-20T23:49:14Z | CONTRIBUTOR | null | Hey all, a moderately commonly requested feature is xlsb support. I thought I'd go ahead and make a PR for it, based on Pyxlsb. The library isn't very full-featured: datetimes are loaded in as floats without any indication they're datetimes. Would that be grounds for rejection?
Alternative would be to implement xlsb... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29837/events | https://github.com/pandas-dev/pandas/issues/29837 | 528,235,995 | MDU6SXNzdWU1MjgyMzU5OTU= | 29,837 | groupby() drops categorical columns when aggregating with isna() | {
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```python
df = pd.DataFrame({'A': [1, 1, 1, 1],
'B': [1, 2, 1, 2],
'numerical_col': [.1, .2, np.nan, .3],
'object_col': ['foo','bar','foo','fee'],
'categorical_col': ['foo','bar','fo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29838 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29838/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29838/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29838/events | https://github.com/pandas-dev/pandas/issues/29838 | 528,237,789 | MDU6SXNzdWU1MjgyMzc3ODk= | 29,838 | PERF: improve conversion to BooleanArray from int/float array | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2019-11-25T17:41:38Z | 2019-12-09T09:41:50Z | 2019-12-09T09:41:33Z | MEMBER | null | Currently, the creation of a BooleanArray from an int/float array goes through a conversion to object dtype (to do it together with the generic conversion from any list-like):
https://github.com/pandas-dev/pandas/blob/7d7f885856b0c3d51eaf15beaac9d4f30c23797d/pandas/core/arrays/boolean.py#L133-L145
For the specifi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29839/events | https://github.com/pandas-dev/pandas/issues/29839 | 528,239,797 | MDU6SXNzdWU1MjgyMzk3OTc= | 29,839 | PERF: improve Integer/BooleanArray astype to numeric dtypes | {
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... | 1 | 2019-11-25T17:45:38Z | 2020-04-28T05:59:38Z | null | MEMBER | null | Currently, in the IntegerArray or BooleanArray `astype`, we first convert to object dtype, and then convert to the requested dtype.
For example, in `IntegerArray.astype`:
https://github.com/pandas-dev/pandas/blob/7d7f885856b0c3d51eaf15beaac9d4f30c23797d/pandas/core/arrays/integer.py#L551-L553
where `self._coerc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29840/events | https://github.com/pandas-dev/pandas/pull/29840 | 528,277,651 | MDExOlB1bGxSZXF1ZXN0MzQ1MzY5Nzc5 | 29,840 | DEPR: remove FrozenNDarray | {
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I have a few TODOs, and a few tests that I need to unxfail. Putting this up now so that @jorisvandenbossche can take a look. | {
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- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] closes #29403
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create a to_cyclical function that transforms ordinal or continous cyclical features to sine transform and cosine transform representing the reality of the feature.
example if hours is to be taken as a feature, 23 and 01 is 22 units apart but in reality they are only two units ap... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/29851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29851/events | https://github.com/pandas-dev/pandas/pull/29851 | 528,441,573 | MDExOlB1bGxSZXF1ZXN0MzQ1NTAyOTc1 | 29,851 | STY: 'open()' and 'close()' to 'with' context manager | {
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- [x] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/29852 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29852/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29852/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29852/events | https://github.com/pandas-dev/pandas/pull/29852 | 528,445,671 | MDExOlB1bGxSZXF1ZXN0MzQ1NTA2MjIy | 29,852 | TST: Fix locale test that fails in GitHub actions | {
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Looks like in GitHub actions this test is receiving an empty string for the environment variable `LOCALE_OVERRIDE` instead of `None`. Not sure why, but I guess they should be equivalent, and we don't want to fail when an empty string is provided.
The change also makes the test return a descriptive err... | {
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```
>>>-------------------------------------------------------------------------
Exception in /home/vsts/work/1/s/doc/source/whatsnew/v0.20.0.rst at block... | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2019-11-26T10:14:28Z | 2020-11-23T22:32:57Z | 2020-11-23T22:32:48Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
a = pd.Series([1, 2], index=[pd.Timestamp('2019-11-26'), pd.Timestamp('2019-11-26')])
a.loc[pd.date_range(pd.Timestamp('2019-11-26'), pd.Timestamp('2019-11-27'))]
```
With error:
```
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```python
df = pd.DataFrame()
date1 = pd.Timestamp('20190101', tz='Europe/Brussels')
date2 = pd.Timestamp('20190201T00:00:00+01:00')
df.truncate(before=date1, after=date2)
```
```python
File "/python3.7/site-packages/pandas/core/indexes/base.py", line 5244, in slice_locs
raise ValueError... | {
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Right now using `pd.read_gbq` will raise a warning.
I think `pandas.read_gbq` should align with it. | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/29859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29859/events | https://github.com/pandas-dev/pandas/pull/29859 | 528,780,077 | MDExOlB1bGxSZXF1ZXN0MzQ1Nzc4MTg0 | 29,859 | BUG: loc-indexing on a CategoricalIndex with integer categories | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Bug when indexing with ``.loc`` and the index is a CateggoricalIndex with integer categories. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29861/events | https://github.com/pandas-dev/pandas/pull/29861 | 528,842,221 | MDExOlB1bGxSZXF1ZXN0MzQ1ODI5MzQ4 | 29,861 | TYP: io.pytables annotations | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29862/events | https://github.com/pandas-dev/pandas/pull/29862 | 528,848,001 | MDExOlB1bGxSZXF1ZXN0MzQ1ODM0MDky | 29,862 | CI: Fix version openpyxl | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/29863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29863/events | https://github.com/pandas-dev/pandas/pull/29863 | 528,849,364 | MDExOlB1bGxSZXF1ZXN0MzQ1ODM1MjE2 | 29,863 | CLN: remove unsupported sparse code from io.pytables | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29864/events | https://github.com/pandas-dev/pandas/issues/29864 | 528,849,770 | MDU6SXNzdWU1Mjg4NDk3NzA= | 29,864 | pd.merge_asof not working when merging TZ-aware index+series | {
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I don't know how to solve following issue, can you please take a look? What am I doing wrong?
#### Problem description
```python
import io
import pandas as pd
data_1 = io.StringIO("""
xyz
from_date
2019-10-01 00:30:00... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
I am new to contributing to open source projects bare with me. I normally only push to my own
master branch. I have never used git diff before(I know it is supposed to co... | {
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```python
inferred_dtype = lib.infer_dtype(values)
if inferred_dtype == "string":
...
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cc @TomAugspurger | {
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In Azure-pipelines we publish the built docs to GitHub pages, served at dev.pandas.io.
After this is merged, I'll work on publishing the Actions docs to the new OVH server. Possibly, publishing the docs of every PR.
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https://api.github.com/repos/pandas-dev/pandas/issues/29876 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29876/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29876/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29876/events | https://github.com/pandas-dev/pandas/pull/29876 | 529,078,263 | MDExOlB1bGxSZXF1ZXN0MzQ2MDIxNDEx | 29,876 | DEPR: infer_dtype default for skipna is now True | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29877/events | https://github.com/pandas-dev/pandas/pull/29877 | 529,081,304 | MDExOlB1bGxSZXF1ZXN0MzQ2MDIzNzY1 | 29,877 | CI: Fix tests broken by np 1.18 sorting change | {
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cc @TomAugspurger
<b>Update</b> A little more background: consider two ndarrays in np<1.18
```
arr1 = np.array([1, 2, np.nan, 3, 4])
arr2 = np.array([1, 2, np.datetime64("NaT"), 3, 4], dtype="datetime64[ns]")
>>> np.sort(arr1)
array([ 1., 2., 3., 4... | {
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```
from pandas.api.indexers import BaseIndexer
class MyWindowIndexer(BaseIndexer):
def get_window_bounds(self,... | {
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```python
import pandas as pd
print(pd.__version__) # '0.25.3'
# simple frame with a name attribute for columns
df = pd.DataFrame({'a': [1.1], 'b': [2.2]})
df.columns.name = 'x'
print(df)
# x a b
# 0 1.1 2.2
# tile rows to a new frame, apparently using the copy of the first fra... | {
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There are couple of things I don't understand from the locale:
- For what I see, we test with different locales (e.g. `it_IT.UTF-8`) but pandas never uses the language (`it_IT`) only the encoding (`UTF-8`). So, not sure if te... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29884 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29884/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29884/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29884/events | https://github.com/pandas-dev/pandas/issues/29884 | 529,381,538 | MDU6SXNzdWU1MjkzODE1Mzg= | 29,884 | NumPy 1.18 behavior for sorting NaT | {
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* Adopt NaT at the end for Index? (we already do for Series)
* Report timedelta NaT-sorting issue to NumPy? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29885 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29885/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29885/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29885/events | https://github.com/pandas-dev/pandas/issues/29885 | 529,425,047 | MDU6SXNzdWU1Mjk0MjUwNDc= | 29,885 | Cannot install pandas on alpine | {
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Dockerfile
```bash
FROM alpine:3.9
RUN apk add --no-cache python3 && \
python3 -m ensurepip && \
pip3 install --upgrade pip setuptools
RUN pip3 install --upgrade pip
RUN pip3 install numpy==1.16.1 pandas==0.23.4
```
#### Problem description
I get the following error when I try build ... | {
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#### Notes:
* Don't forget to link this issue in your PR, paste this ```https://github.com/pandas-dev/pan... | {
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Here adds a warning to war... | {
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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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- [ ] tests added / passed
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More fstring changes | {
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Assignment to multiple columns of a :class:`DataFrame` when some of the columns do not exist would previously assign the values to the last column. Now, new columns would be constructed with the right values.
.. ipython:: python
df = pd.DataFrame({'a': [0, 1, 2], 'b': [3, 4, 5]})
df
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```python
import datetime
import pandas as pd
from pandas.tseries.holiday import USFederalHolidayCalendar
bhour_us = pd.offsets.CustomBusinessHour(calendar=USFederalHolidayCalendar())
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https://api.github.com/repos/pandas-dev/pandas/issues/29906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29906/events | https://github.com/pandas-dev/pandas/pull/29906 | 529,604,792 | MDExOlB1bGxSZXF1ZXN0MzQ2NDUxNTc5 | 29,906 | CI: Fix broken asv | {
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It takes a while to find the failing line of the benchmarks logs at the moment. This should highlight the failing ones, and also publish the log as an artifact so it can be analyzed easier.
CC: @jbrockmendel | {
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Timestamp.resolution correctly mirrors datetime.resolution by returning Timedelta(nanoseconds=1), but it is a property whe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29912/events | https://github.com/pandas-dev/pandas/pull/29912 | 529,678,049 | MDExOlB1bGxSZXF1ZXN0MzQ2NTA5MjA2 | 29,912 | DEPR: categorical.take allow_fill default | {
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Also deprecates take_nd as an alias for take. | {
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