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https://api.github.com/repos/pandas-dev/pandas/issues/27913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27913/events | https://github.com/pandas-dev/pandas/issues/27913 | 480,441,842 | MDU6SXNzdWU0ODA0NDE4NDI= | 27,913 | Empty series dtype discarded by reset_index with MultiIndex | {
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... | closed | false | null | [] | null | 2 | 2019-08-14T01:41:33Z | 2019-08-14T13:33:09Z | 2019-08-14T13:33:08Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
# this is fine
pd.DataFrame({'x': pd.Series([], dtype='datetime64[ns]'), 'y': pd.Series([]), 'z': pd.Series([])}).set_index(['x']).reset_index().dtypes
# this changes 'x' to float64
pd.DataFrame({'x': pd.Series([], dtype='da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27914/events | https://github.com/pandas-dev/pandas/issues/27914 | 480,449,185 | MDU6SXNzdWU0ODA0NDkxODU= | 27,914 | Unable to use lambda function in pandas NamedAgg function | {
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```python
df = pd.DataFrame({'kind': ['cat', 'dog', 'cat', 'dog'],
'height': [9.1, 6.0, 9.5, 34.0],
'weight': [7.9, 7.5, 9.9, 198.0]})
# using lambda with the new NamedAgg function doesn't work
(
df.gr... | {
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I have added the correct `noqa` and `isort:skip` flags to the lines which needed it to function correctly with the current `.pre-commit-config.yaml`, such that the imports are correctly... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] tests added / passed
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@TomAugspurger Can you merge? | {
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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/27922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27922/events | https://github.com/pandas-dev/pandas/pull/27922 | 480,904,137 | MDExOlB1bGxSZXF1ZXN0MzA3NTEwNzY2 | 27,922 | CLN: Remove incorrect check, comment, rename | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27923/events | https://github.com/pandas-dev/pandas/pull/27923 | 480,969,140 | MDExOlB1bGxSZXF1ZXN0MzA3NTYyMTQ2 | 27,923 | CLN: simplify comparison method, docstring cleanups | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27924/events | https://github.com/pandas-dev/pandas/issues/27924 | 480,980,677 | MDU6SXNzdWU0ODA5ODA2Nzc= | 27,924 | why when i read data from '.xlsx',values of one colum which type is 'str' with hyHyperlink be read as 0 | {
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```python
`import pandas as pd
df=pd.read_excel(r'C:\abc.xlsx')
df`
```
#### Problem description
my pandas version is 0.25.0
I do not know why that happened, I have a excel with one column whose type is str with hyperlink,when I use the read_excel func... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27925/events | https://github.com/pandas-dev/pandas/pull/27925 | 480,986,523 | MDExOlB1bGxSZXF1ZXN0MzA3NTc1NDU0 | 27,925 | BUG: Help python csv engine read binary buffers | {
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binary mode, but the python csv reader errors on binary buffers.
- [x] closes #23779
- [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/27926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27926/events | https://github.com/pandas-dev/pandas/pull/27926 | 481,020,003 | MDExOlB1bGxSZXF1ZXN0MzA3NjAxOTQx | 27,926 | Fix regression in .ix fallback with IntervalIndex | {
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cc @jbrockmendel this is another one from limiting the catched exceptions in https://github.com/pandas-dev/pandas/pull/27223/files#diff-7489e290a23303c4db4f803011ecaf8eR121. But also this time it's again rather a bug in the code that raises this error.
For some reason, `DataFrame._get_value` for a D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27927/events | https://github.com/pandas-dev/pandas/issues/27927 | 481,021,688 | MDU6SXNzdWU0ODEwMjE2ODg= | 27,927 | BUG: DataFrame._get_value not working for IntervalIndex | {
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... | 5 | 2019-08-15T07:00:18Z | 2021-06-19T03:37:55Z | 2021-06-19T03:37:54Z | MEMBER | null | Follow-up on https://github.com/pandas-dev/pandas/pull/27926 and https://github.com/pandas-dev/pandas/issues/27865
`DataFrame._get_value` with an IntervalIndex is not working properly:
```
In [24]: df = DataFrame(
...: np.random.randn(5, 2),
...: columns=["a", "b"], ... | {
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- 1 test added
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- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
# Your code here
kmPerMinute = df['mileageInKm'].div(df['driveDurationInMinutes'])
Traceback (most recent call last):
File "/app/src/report_trip.py", line 215, in check_car
kmPerMinute = df['mileageInKm'].div(df['driveDurationInMinutes'])
F... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27931/events | https://github.com/pandas-dev/pandas/issues/27931 | 481,145,370 | MDU6SXNzdWU0ODExNDUzNzA= | 27,931 | xtick label have wrong position. | {
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```python
df_plot_0.plot(ax=ax[0], linestyle='None', marker='o', markersize=2.5, rot=90)
```
#### Problem description
My dataframe is 2015-2019, 5 years timeseries. Use The default parameter to plot, got wrong xticks.
![0_EDI_TS_1376 0Hz](https://user-imag... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27932/events | https://github.com/pandas-dev/pandas/pull/27932 | 481,150,510 | MDExOlB1bGxSZXF1ZXN0MzA3NzA1NTA1 | 27,932 | BUG: Ensure that fill_na in Categorical only replaces null values | {
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"followers_url": "https://api.github.... | 3 | 2019-08-15T13:27:46Z | 2019-08-22T08:38:45Z | 2019-08-16T11:22:20Z | MEMBER | null | - [x] closes #26215
- [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/27933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27933/events | https://github.com/pandas-dev/pandas/pull/27933 | 481,170,458 | MDExOlB1bGxSZXF1ZXN0MzA3NzIxNTYz | 27,933 | TST: Asserts all types are caterogical in function fillna with correct error message | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-08-15T14:12:40Z | 2019-10-29T12:12:31Z | 2019-08-16T12:14:43Z | CONTRIBUTOR | null | - [x] closes #13628
- [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/27934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27934/events | https://github.com/pandas-dev/pandas/pull/27934 | 481,179,746 | MDExOlB1bGxSZXF1ZXN0MzA3NzI5MDM5 | 27,934 | BUG: set_precision format fixed (#13257) | {
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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
I've tried to fix the set_precision format, does that fix it?
### INPUT -> df.style.set_precision(2)
| A | B |
| --- | --- |
| 1 | 2.0090 |
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https://api.github.com/repos/pandas-dev/pandas/issues/27935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27935/events | https://github.com/pandas-dev/pandas/issues/27935 | 481,182,322 | MDU6SXNzdWU0ODExODIzMjI= | 27,935 | ENH: Cumsum with reset after certain upper/lower boundary is reached. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27936/events | https://github.com/pandas-dev/pandas/pull/27936 | 481,213,421 | MDExOlB1bGxSZXF1ZXN0MzA3NzU2MjAy | 27,936 | REF: implement array_ops | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27937/events | https://github.com/pandas-dev/pandas/issues/27937 | 481,319,865 | MDU6SXNzdWU0ODEzMTk4NjU= | 27,937 | ValueError on assigning multiple NaN/None to Categorial Series when all categories are Intervals | {
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```python
import numpy as np, pandas as pd
# providing CategoricalDtype via e.g. pd.cut will also produce the error
s = pd.Series([np.nan, np.nan, np.nan, np.nan], dtype=pd.CategoricalDtype(categories=[pd.Interval(0,1)]))
s.iloc[:3] = [np.nan, pd.Interval(0,1), np.nan]
# ValueError... | {
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- computation.pytables is only used io.pytables, might not belong in core.computation
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https://api.github.com/repos/pandas-dev/pandas/issues/27943 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27943/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27943/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27943/events | https://github.com/pandas-dev/pandas/issues/27943 | 481,426,620 | MDU6SXNzdWU0ODE0MjY2MjA= | 27,943 | DataFrame that deserialized from pyarrow cannot be used to `merge` | {
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```python
In [1]: data1 = pd.DataFrame(np.arange(20).reshape((4, 5)) + 1, columns=['a', 'b', 'c', 'd', 'e'])
In [2]: data2 = pd.DataFrame(np.arange(20).reshape((5, 4)) + 1, columns=['a', 'b', 'x', 'y'])
In [3]: import pyarrow as pa
In [4]: d1 = pa.deseriali... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] closes #20519
- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/27949 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27949/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27949/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27949/events | https://github.com/pandas-dev/pandas/pull/27949 | 481,660,946 | MDExOlB1bGxSZXF1ZXN0MzA4MTE3NzI4 | 27,949 | API: Add string extension type | {
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The data model is essentially unchanged from master. String are still
stored in an object-dtype ndarray. Scalar elements are still Python
strs, and `np.nan` is still used as the string dtype.
Things are pretty well contained. The major changes out... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27950 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27950/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27950/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27950/events | https://github.com/pandas-dev/pandas/pull/27950 | 481,686,812 | MDExOlB1bGxSZXF1ZXN0MzA4MTM4NzM0 | 27,950 | TST: parametrize and de-duplicate arith tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27951 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27951/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27951/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27951/events | https://github.com/pandas-dev/pandas/pull/27951 | 481,696,475 | MDExOlB1bGxSZXF1ZXN0MzA4MTQ2NTAx | 27,951 | BUG: Remove null values before sorting during groupby nunique calculation | {
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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/27952 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27952/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27952/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27952/events | https://github.com/pandas-dev/pandas/issues/27952 | 481,719,633 | MDU6SXNzdWU0ODE3MTk2MzM= | 27,952 | `series.dt.tz_localize()` on Categorical operates on categories, not values | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-08-16T17:56:52Z | 2019-11-02T20:19:35Z | 2019-11-02T20:19:35Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
datetimes = pd.Series(['2019-01-01', '2019-01-01', '2019-01-02'], dtype='datetime64[ns]')
categorical = datetimes.astype('category')
categorical.dt.tz_localize(None)
```
Produces:
```
0 2019-01-01
1 2019-01-02
dtype: datetime64[ns]
```... | {
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```python
In [8]: pd.DataFrame(columns=['a'], dtype=pd.CategoricalDtype())
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-8-a44ecacab92a> in <module>
----> ... | {
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2- If column type in dateframe is %b-%y when you export it to csv and back it converts the year to day and each value is current year.
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https://api.github.com/repos/pandas-dev/pandas/issues/27955 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27955/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27955/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27955/events | https://github.com/pandas-dev/pandas/issues/27955 | 481,743,663 | MDU6SXNzdWU0ODE3NDM2NjM= | 27,955 | DOC/TST: update the parquet (pyarrow >= 0.15) docs and tests regarding Categorical support | {
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See https://issues.apache.org/jira/browse/ARROW-3246 (and linked issues), https://gith... | {
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As a part of #27804 I tried adding `num-jobs=4` while generating docs. But the doc generation part fails since `doc/source/whatsnew/v0.7.3.rst` file refers to an image in `../savefig/scatter_matrix_kde.png` which is not generated from `doc/source/user_guide/visualization.rst`
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responsibilities of user. Unified wording of legacy support for sqlite
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https://api.github.com/repos/pandas-dev/pandas/issues/27975 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27975/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27975/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27975/events | https://github.com/pandas-dev/pandas/pull/27975 | 481,924,892 | MDExOlB1bGxSZXF1ZXN0MzA4MzE3Njkz | 27,975 | Series.rename now handles values by Series constructor | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/27976 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27976/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27976/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27976/events | https://github.com/pandas-dev/pandas/issues/27976 | 481,927,234 | MDU6SXNzdWU0ODE5MjcyMzQ= | 27,976 | Fix PR02 issues in docstrings | {
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Current errors:
```
$ ./scripts/validate_docstrings.py --errors=PR02
pandas.Series.astype: Unknown parameters {kwargs}
pandas.Series.pipe: Unknown parameters {args, kwargs}
pandas.Series.... | {
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For the last two years, we've been implementing all sorts of validations... | {
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- [] closes #xxxx
- [ 1 ] tests added / passed
- [ 1 ] passes `black pandas`
- *[ 0 ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Do not close issue, waiting for user response before further testing.
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https://api.github.com/repos/pandas-dev/pandas/issues/27979 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27979/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27979/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27979/events | https://github.com/pandas-dev/pandas/issues/27979 | 481,936,837 | MDU6SXNzdWU0ODE5MzY4Mzc= | 27,979 | Fixing docstrings that don't end with a period | {
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```
pandas.DataFrame.keys: Summary does not end with a period
pandas.read_clipboard: Summary does not end with a period
pandas.ExcelFile.parse: Summary does not end with a period
pandas.HDFStore.put: Summary does not en... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27980 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27980/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27980/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27980/events | https://github.com/pandas-dev/pandas/pull/27980 | 481,937,764 | MDExOlB1bGxSZXF1ZXN0MzA4MzI2Mzgx | 27,980 | Issue - 27482 : fixed isnull attribute for type objects | {
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Do not close issue, waiting for user response before continuing further testing.
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Not sure where to add whatsnew entry #PandasHack2019
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https://api.github.com/repos/pandas-dev/pandas/issues/27985 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27985/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27985/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27985/events | https://github.com/pandas-dev/pandas/pull/27985 | 481,943,608 | MDExOlB1bGxSZXF1ZXN0MzA4MzMwMzU3 | 27,985 | Pandas tseries offsets DateOffset | {
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input: python .\scripts\validate_docstrings.py pandas.tseries.offsets.DateOffset --errors=F821
output: Docstring for "pandas.tseries.offsets.DateOff... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27986/events | https://github.com/pandas-dev/pandas/issues/27986 | 481,946,199 | MDU6SXNzdWU0ODE5NDYxOTk= | 27,986 | DOC: Fix some GL01/GL02 docstring errors | {
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<details>
For the following files:
pandas/conftest.py
pandas/io/html.py
</details>
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https://api.github.com/repos/pandas-dev/pandas/issues/27987 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27987/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27987/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27987/events | https://github.com/pandas-dev/pandas/pull/27987 | 481,953,757 | MDExOlB1bGxSZXF1ZXN0MzA4MzM3MTQw | 27,987 | index fixed when join with empty dataframe | {
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Fixed docstrings text that aren’t on the next line after opening `"""` and followed immediately by the line with closing `"""`. Issue #27986 | {
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Thoughts on including this in 0.25.1 or not? It's kind of a oversight of the 0.25 feature, but also an actual change of course in the user experience in the notebook. | {
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Timezone info is dropped in GroupBy.shift, bfill, and ffill
since index calculated by Cythonized functions are applied to
NumPy representation of values without timezone.
Could you please find and review this fix?
Many thanks,
-noritada
```
In [1]: import pandas as pd
...: pd.__vers... | {
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![Screen Shot 2019-08-18 at 2 18 32 ... | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 9 | 2019-08-18T13:38:22Z | 2021-07-28T01:03:31Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({
{'value': [1, 2]},
index=[pd.Timestamp('2019-01-01'), pd.Timestamp('2019-01-01')]
})
df = df.drop(df[df['value'] > 10].index)
```
#### Problem description
When calling `drop` for dataframe with ... | {
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Eg with an array of pint's Quantity objects:
```python3
>>> array_of_qty
array([<Quantity(67.0, 'meter')>, <Quantity(61.0, 'meter')>,
<Quantity(30.0, 'meter')>, ..., <Quantity(293.0,... | {
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- [x] closes #27394
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- [X] closes #21910
- [X] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Simply put, added support to use dataclasses in the following way:
```python
from ... | {
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In the current fix, if any dataframe is empty, a index is set explicitly using the set_index function | {
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Partially resolves issue | {
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... | closed | false | null | [] | null | 3 | 2019-08-18T17:52:20Z | 2019-10-03T19:11:42Z | 2019-10-03T19:11:36Z | NONE | null | - [X] closes #24784
- [X] tests added / passed - 1
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry - Test utility method "_check_plot_works_with_continuous_dates" and Test case "test_continuous_dates"
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https://api.github.com/repos/pandas-dev/pandas/issues/28004 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28004/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28004/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28004/events | https://github.com/pandas-dev/pandas/issues/28004 | 482,035,820 | MDU6SXNzdWU0ODIwMzU4MjA= | 28,004 | Feature request: DataFrame.mse() | {
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] | closed | false | null | [] | null | 2 | 2019-08-18T20:49:23Z | 2020-02-27T17:19:31Z | 2020-02-27T17:19:31Z | NONE | null | #### Code Sample
```python
def sample_MSE_implementation(df):
from sklearn.metrics import mean_squared_error
# If the user wish,they can pass the normalized df as a parameter
# df=(df-df.min())/(df.max()-df.min())
Matrix = [[round(mean_squared_error(df.iloc[:, row],df.iloc[:, col]),6) for row in ... | {
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] | closed | false | null | [] | null | 2 | 2019-08-18T23:15:01Z | 2019-09-17T13:38:14Z | 2019-09-17T13:38:14Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> df = pd.DataFrame({'col': [['a', 'b'], ['c', 'd']]}, index=[0,0])
>>> df.explode('col')
col
0 a
0 b
0 c
0 d
0 a
0 b
0 c
0 d
```
#### Problem description
I'm not sure if this is expected behaviour. But it took me sligh... | {
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```python
df.to_hdf('../data/base.h5', 'all')
/work/.pylib/3/pandas/core/generic.py in to_hdf(self, path_or_buf, key, **kwargs)
2529 from pandas.io import pytables
2530
-> 2531 pytables.to_hdf(path_or_buf, key, self, **kwargs)
2532... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] closes #28005
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```
=================================== FAILURES ===================================
_ TestCategoricalSeriesAnalytics.test_drop_duplicates_categorical_non_bool[True-datetime64[D]] _
[gw1] linux -- Python 3.7.4 /home/vsts/miniconda3/envs/pan... | {
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Subsets and Splits
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