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https://api.github.com/repos/pandas-dev/pandas/issues/25313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25313/events | https://github.com/pandas-dev/pandas/issues/25313 | 410,115,565 | MDU6SXNzdWU0MTAxMTU1NjU= | 25,313 | Add helpful error message to get_loc | {
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"color": "207d... | closed | false | null | [] | null | 5 | 2019-02-14T04:00:07Z | 2019-02-18T16:37:03Z | 2019-02-18T16:37:03Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'time':[1, 1.5, 2], 'data':[5, 7, 9]})
df = df.set_index('time')
idx = df.index.get_loc(1.75)
```
#### Problem description
The error message for the code above is cumbersome and does not give a hint to new users what the probl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25314/events | https://github.com/pandas-dev/pandas/issues/25314 | 410,123,901 | MDU6SXNzdWU0MTAxMjM5MDE= | 25,314 | fail to build | {
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pip install -e .
Obtaining file:///home/xyh/sd0/lang/python/lib/pandas
Requirement already satisfied: python-dateutil>=2.5.0 in /home/xyh/sd0/miniconda3/lib/python3.6/site-packages (from pandas==0.25.0.dev0+114.g6a8e70878) (2.7.5)
Requirement already satisfied: pytz>=2011k in /home/xyh/sd0/miniconda3/lib/python... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25315/events | https://github.com/pandas-dev/pandas/pull/25315 | 410,129,764 | MDExOlB1bGxSZXF1ZXN0MjUyOTQxMTcy | 25,315 | ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25316/events | https://github.com/pandas-dev/pandas/issues/25316 | 410,167,963 | MDU6SXNzdWU0MTAxNjc5NjM= | 25,316 | Missing required dependencies ['numpy'] on pandas 0.24.1 | {
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```python
import pandas as pd
# --------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-2-7dd3504c366f> in <module>
----> 1 import pandas as pd
~/.local/lib/pyth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25317/events | https://github.com/pandas-dev/pandas/issues/25317 | 410,238,239 | MDU6SXNzdWU0MTAyMzgyMzk= | 25,317 | Subtracting two data time series with NaT yields Overflow error | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/u... | 1 | 2019-02-14T10:46:31Z | 2019-02-20T10:52:02Z | 2019-02-20T10:52:02Z | NONE | null | #### Problem description
If I have a series of DateTime values and I want to subtract another series with DateTime value which contains NaT, in some case I get OverflowError.
#### Code Sample, a copy-pastable example if possible
```python
s1 = pd.Series([pd.to_datetime('1969-12-31')])
s2 = pd.Series([pd.to_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25318 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25318/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25318/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25318/events | https://github.com/pandas-dev/pandas/issues/25318 | 410,284,217 | MDU6SXNzdWU0MTAyODQyMTc= | 25,318 | pd.Categorical(Series, categories=..) returns broken data with out-of-bound codes | {
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"followers_url": "https://api.github.com/u... | 3 | 2019-02-14T12:49:34Z | 2019-03-03T02:36:37Z | 2019-03-03T02:36:37Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
c1 = pd.Categorical(['A', 'B', 'B', 'C'])
# Works as expected:
#c2 = pd.Categorical(c1, categories=c1.categories[1:])
# Generates broken data:
c2 = pd.Categorical(pd.Series(c1), categories=c1.categories[1:])
print(c1[:2])
print(c2[:2])
print(c2.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25319 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25319/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25319/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25319/events | https://github.com/pandas-dev/pandas/issues/25319 | 410,289,309 | MDU6SXNzdWU0MTAyODkzMDk= | 25,319 | .isin() includes unwanted string value in a column with 0 instead of dropping them | {
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```python
[in]:
import pandas as pd
import seaborn as sns
df = sns.load_dataset('tips')
df.day.value_counts()
[out]:
Sat 87
Sun 76
Thur 62
Fri 19
Name: day, dtype: int64
[in]:
days = ['Sat', 'Sun', 'Thur']
df1 = df[df.day.isin(day... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25320 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25320/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25320/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25320/events | https://github.com/pandas-dev/pandas/pull/25320 | 410,298,432 | MDExOlB1bGxSZXF1ZXN0MjUzMDcwODYz | 25,320 | fix the function find_common_types bug | {
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"description"... | closed | false | null | [] | null | 6 | 2019-02-14T13:25:32Z | 2019-03-20T02:05:31Z | 2019-03-20T02:05:31Z | NONE | null | ` types[0]` can raise a KeyError when `types` is a `pd.Series` . see issue #25270
- [ ] closes #xxxx
- [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/25321 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25321/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25321/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25321/events | https://github.com/pandas-dev/pandas/issues/25321 | 410,306,449 | MDU6SXNzdWU0MTAzMDY0NDk= | 25,321 | Enable chunks for the read_gbq() function | {
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Reading large tables from google big query takes a long time and sometimes gets stuck. adding a chunksize option (like in other providers and the to_gbq() function) will be a nice addition.
#### Expected Output
#### Output of ``pd.show_versions()``
<details>
pandas: 0.23.4
py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25322 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25322/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25322/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25322/events | https://github.com/pandas-dev/pandas/issues/25322 | 410,385,221 | MDU6SXNzdWU0MTAzODUyMjE= | 25,322 | pandas 0.24.1 testsuite failure with new numpy ( | {
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"d... | closed | false | null | [] | null | 8 | 2019-02-14T16:30:49Z | 2021-06-26T05:43:08Z | 2021-06-26T05:43:08Z | NONE | null | ```
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_finder_daily FAILED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_finder_quarterly FAILED
../debian/tmp/usr/lib/python2.7/dist-packages/pandas/te... | {
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@jreback | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25324 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25324/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25324/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25324/events | https://github.com/pandas-dev/pandas/issues/25324 | 410,409,191 | MDU6SXNzdWU0MTA0MDkxOTE= | 25,324 | Fix validation error type `GL01` and check in CI | {
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... | 4 | 2019-02-14T17:25:34Z | 2019-12-11T17:32:44Z | null | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `GL01` (Docstring text, i.e. summary, should start in the line immediately after the opening quotes, not in the same line, or leaving a blank line in between), fixing them in the code base enables the addition to the CI for auto... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25325/events | https://github.com/pandas-dev/pandas/pull/25325 | 410,410,257 | MDExOlB1bGxSZXF1ZXN0MjUzMTU4ODc0 | 25,325 | Backport PR #25323 on branch 0.24.x (Skipped broken Py2 / Windows test) | {
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Run the following code with Pandas 0.24.x and PyArrow 0.12.0:
```python
import pandas as pd
import numpy as np
df_1 = pd.DataFrame({'col': [None, None, None]})
df_1.col = df_1.col.astype(np.unicode_)
df_1.to_parquet('right.parq', engine='pyarrow')
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https://api.github.com/repos/pandas-dev/pandas/issues/25327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25327/events | https://github.com/pandas-dev/pandas/pull/25327 | 410,474,280 | MDExOlB1bGxSZXF1ZXN0MjUzMjA4NTg1 | 25,327 | #14873: test for groupby.agg coercing booleans | {
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The referenced issue seems to be solved in the current master. So added a test for the edge case. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25328/events | https://github.com/pandas-dev/pandas/pull/25328 | 410,557,871 | MDExOlB1bGxSZXF1ZXN0MjUzMjc0MzY2 | 25,328 | DOC: Improvement docstring of DataFrame.rank() | {
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I have made the changes requested in the pull request #23263
This is the output of the docstring validation:
```
3 Errors found:
Parameter "method" description should finish with "."
Parameter "na_option" description should finish with ".... | {
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closes #25317
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... | 5 | 2019-02-15T10:46:49Z | 2019-12-17T02:19:59Z | 2019-12-17T02:19:59Z | NONE | null | #### Code Sample
```python
import pandas as pd
from mock import MagicMock
df = pd.DataFrame(0, [[1, 2], [3, 4]], ['col'])
df['col'] += MagicMock()
```
#### Problem description
I have a function that returns a column of dataframe. I want to mock out this function and test it is called with the correct args... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25333/events | https://github.com/pandas-dev/pandas/pull/25333 | 410,805,640 | MDExOlB1bGxSZXF1ZXN0MjUzNDU2MDY3 | 25,333 | Doc: corrects spelling in generic.py | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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In brief, I have tried to split the quite large `test_excel.py` test file into logical chunks. I have done this by first splitting by reading and writing, a... | {
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I think the relevant method is `__array_ufunc__`, @jorisvandenbossche any idea about this? | {
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... | open | false | null | [] | null | 7 | 2019-02-15T17:24:03Z | 2020-04-01T04:17:59Z | null | NONE | null | #### Code Sample
```python
from datetime import datetime
import pandas as pd
input_before_31536000 = pd.DataFrame([1],index=[datetime(1971, 1, 1)])
input_after_31536000 = pd.DataFrame([1],index=[datetime(1971, 1, 1, 0, 0, 1)])
# Compare before (including) and after 31536000
pd.read_json(input_before_31536000... | {
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... | 2 | 2019-02-15T23:14:16Z | 2021-07-15T16:08:48Z | null | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `SA04` (Missing description for See Also reference), fixing them in the code base enables the addition to the CI for automated testing in the future.
Please see [overview of the errors](https://gist.github.com/198cfa552c727d7... | {
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- [x] test added to ensure pd.api.types.IntervalDtype('IntervalA') throws TypeError
- [x] test added to ensure pd.api.types.IntervalDtype.construct_from_string('IntervalA') throws TypeError
- [x] test added to ensure pd.api.types.IntervalDtype.is_dtype('IntervalA') returns false
- [x] passes `gi... | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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When creating a latex table with `DataFrame.to_latex(longtable=False)` the output is written inside a latex `tabular` environment and stored in some file like `pandas_tabular.tex... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/25341 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25341/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25341/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25341/events | https://github.com/pandas-dev/pandas/issues/25341 | 411,086,384 | MDU6SXNzdWU0MTEwODYzODQ= | 25,341 | BUG: import error with python>=3.6.x since 0.23.0 | {
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```python
import sys
print(sys.version)
import pandas as pd
```
#### Problem description
It appears to work fine on python 3.5.5 but not on 3.6.5 or 3.7.0
```python
3.7.0 (default, Jul 6 2018, 14:29:43)
[Clang 9.0.0 (clang-900.0.39.2)]
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Categorical.html
Argument `fastpath` which can be passed to the class constructor is not documented on the docstring:
https://github.com/pandas-dev/pandas/blob/master/pandas/core/arrays/categorical.py | {
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When EAs go through cython routines, they need to be converted to numpy arrays (and dtypes) first and then recast to the correct EA. This recast may require specific logic. For example, `DatetimeTZDtype`s need to be localized to UTC first bef... | {
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I have a datetime in the format %Y-%m-%d in a DataFrame. Before I use de rename method this DataFrame change the format to %Y-%m-%d 00:00:00. This is a Bug? isn't correct rename the index too. I think that this method should only rename ... | {
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```python
df1.shape # (21141, 59)
df2.shape # (21141, 6)
result = pd.concat([df1, df2], axis=1, ignore_index=True)
result.shape # (42282, 65)
```
#### Problem description
I have 2 dataframes that I try to concatenate horizontally. The method con... | {
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- [ ] Updated code_check.sh to reflect it.
To do this I went through every file and corrected the SA04 errors.
When executing "validation_docstring.py" as per the "Pandas documentation validation errors" page, SA04 errors were sti... | {
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... | 6 | 2019-02-17T15:00:26Z | 2021-10-19T00:44:23Z | 2021-10-19T00:44:23Z | CONTRIBUTOR | null | https://travis-ci.org/pandas-dev/pandas/jobs/494493327
xref @jnothman | {
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```python
>>> import pandas as pd
>>> import numpy as np
>>> pd.Series(["foo",np.nan]).astype(str)
```
#### Output
0 foo
1 nan # nan string
dtype: object
#### Expected output
0 foo
1 NaN # np.nan
dtype: object
#### Problem description
Upon converting this Series I... | {
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- [x] Updated code_checks.sh
Went through every file and included "See Also" reference, PEP8 compliant. According to the "validate_docstring.py" script the were SA04 errors but having checked every file I have been unable to locate them. Assistance may be required.
Implemented feedback from ... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-02-17T21:53:13Z | 2019-05-08T03:57:09Z | 2019-05-08T03:57:09Z | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `RT01` (No Returns section found), fixing them in the code base enables the addition to the CI for automated testing in the future.
Please see [overview of the errors](https://gist.github.com/198cfa552c727d71bd7360fda66fdbb4)... | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2019-02-17T22:47:29Z | 2019-03-04T13:47:16Z | 2019-03-04T13:47:11Z | NONE | null | As we can see, the dropna() Method drop rows with value and add value from NaN rows. I don't undestood why.
between 1990-04 and 1990-08 u can see that we have value. But the dropna Method drop theses rows, and they are float64 value. And the dropna() method fill 1990-09 and 1990-10 with value that didn't exist.
... | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-02-18T08:38:09Z | 2019-03-05T03:07:09Z | 2019-03-05T03:07:09Z | CONTRIBUTOR | null | Fix #24268 by updating the description of `keep` in Series.nlargest
- [x] closes #24268
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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#### Problem description
https://github.com/pandas-dev/pandas/blob/master/doc/source/getting_started/basics.rst#general-dataframe-combine
```python
def combiner(x, y):
np.where(pd.isna(x), y, x)
df1.combine(df2, combiner)
```
the code above should be:
```python
def combiner(x, y):
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For example, in the first SS02 error pandas/tseries/offsets.py has no method named normalize.
- [X] Closes #25113
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```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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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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I participated in an open source sprint day today. This is my first attempt to request a PR to contribute to open source. I made changes to fix a few minor typos. | {
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- [x] closes #23049
- [x] tests added / passed
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The referenced issue seems to be solved in the current master. So added a test for the edge case.
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```python
from datetime import datetime, timedelta
import pandas as pd
periods = 7
today = datetime.now()
future_ds = pd.date_range(today.strftime('%Y-%m-%d'), (today + timedelta(days=periods)).strftime('%Y-%m-%d') )
future_ds.to_frame('ds')
```
#### ... | {
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https://stackoverflow.com/questions/54759936/extension-dtypes-in-pandas-appear-to-have-a-bug-with-query
Code to reproduce:
df_test = pd.... | {
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```python
# Code in master
pd.MultiIndex.from_product([["mammal"], ['dog', 'cat', 'monkey']])
```
#### Problem description
A spurious MultiIndex is being created in `_set_axis_names`.
[Link to blame](https://github.com/pandas-dev/pandas/blame/master/pan... | {
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"followers_url": "https://api.github.com/u... | 3 | 2019-02-19T11:45:56Z | 2019-02-19T13:12:41Z | 2019-02-19T13:12:35Z | CONTRIBUTOR | null | * Resovles #25370
* Introduced by #22969
- [x] closes #25370
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ N/A ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/25373 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25373/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25373/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25373/events | https://github.com/pandas-dev/pandas/issues/25373 | 412,028,193 | MDU6SXNzdWU0MTIwMjgxOTM= | 25,373 | pip doen't install numpy as prerequist | {
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```bash
./env/bin/pip install --upgrade pandas
```
#### Problem description
Installing Pandas in a Python2 VirtualEnv, install fails as Numpy cannot be locally found.
#### Expected Output
Pandas install in the VirtuaEnv
#### Output of ```./env/bin/pip ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25374 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25374/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25374/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25374/events | https://github.com/pandas-dev/pandas/issues/25374 | 412,038,090 | MDU6SXNzdWU0MTIwMzgwOTA= | 25,374 | Missing license file on linux wheels | {
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... | open | false | null | [] | null | 7 | 2019-02-19T17:23:58Z | 2020-04-19T21:40:26Z | null | NONE | null | #### Problem description
The manylinux1 wheels for cp36 pandas 0.24.1 don't have License files. See https://files.pythonhosted.org/packages/e6/de/a0d3defd8f338eaf53ef716e40ef6d6c277c35d50e09b586e170169cdf0d/pandas-0.24.1-cp36-cp36m-manylinux1_x86_64.whl for example. | {
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```
b c d e f g h
0 6.25 2018-04-01 True NaN 7 54.0 64.0
1 32.50 2018-04-01 True NaN 7 54.0 64.0
2 16.75 2018-04-01 True NaN 7 54.0 64.0
3 29.25 2018-04-01 True NaN 7 54.0 64.0
4 21.75 2018-04-01 True NaN 7... | {
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... | 9 | 2019-02-19T18:48:12Z | 2021-11-20T06:03:58Z | 2021-11-20T06:03:58Z | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `PR02` (Unknown parameters), fixing them in the code base enables the addition to the CI for automated testing in the future.
Please see [overview of the errors](https://gist.github.com/198cfa552c727d71bd7360fda66fdbb4).
T... | {
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... | closed | false | null | [] | null | 6 | 2019-02-19T21:19:37Z | 2019-02-24T10:21:00Z | 2019-02-24T10:20:29Z | CONTRIBUTOR | null | Running into debugging problems in #24984 because `conda list` is never called after installing the `pandas-dev` environment.
It seems that this is just missing in azure/posix (I reflected the comment in other locations not least to show where else this is already done). | {
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... | 4 | 2019-02-19T23:34:57Z | 2019-09-18T14:02:13Z | 2019-09-18T14:02:13Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
X = pd.SparseDataFrame([[0,1], [0,0]], default_fill_value=0.0)
## Good behaviour
X.loc[0].to_numpy()
# array([0., 1.])
X.loc[[0]].to_numpy()
# array([[0., 1.]])
X.iloc[0].to_numpy()
# array([0., 1.])
## ... | {
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... | 3 | 2019-02-20T01:53:19Z | 2019-12-15T23:39:20Z | null | NONE | null | Related to #2485
The [W3C Tabular Data Model recommendation](https://www.w3.org/TR/tabular-data-model/) that include arbitrary text data, as well as column-specific metadata, such as column data types.
It would be very nice if Pandas could read metadata like this. There is [a section with an example of CSV/TSV m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25380 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25380/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25380/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25380/events | https://github.com/pandas-dev/pandas/pull/25380 | 412,232,562 | MDExOlB1bGxSZXF1ZXN0MjU0NDkxMTA1 | 25,380 | Backport PR #25338 on branch 0.24.x (Interval dtype fix) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25381 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25381/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25381/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25381/events | https://github.com/pandas-dev/pandas/pull/25381 | 412,264,279 | MDExOlB1bGxSZXF1ZXN0MjU0NTE0MjQ5 | 25,381 | DOC: edited whatsnew typo | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-02-20T06:22:35Z | 2019-04-15T18:29:37Z | 2019-02-20T14:06:50Z | CONTRIBUTOR | null | xref: redoing the whatsnew entry for PR #25124. Typos were caought by @h-vetinari .
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https://api.github.com/repos/pandas-dev/pandas/issues/25382 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25382/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25382/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25382/events | https://github.com/pandas-dev/pandas/pull/25382 | 412,294,226 | MDExOlB1bGxSZXF1ZXN0MjU0NTM1OTgx | 25,382 | CLN: (re-)enable infer_dtype to catch complex | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-02-20T08:05:21Z | 2019-02-22T07:00:33Z | 2019-02-21T13:53:43Z | CONTRIBUTOR | null | - [x] takes a small bite out of #23554
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
`complex` should already be inferred according to the docstring, but isn't. I'm hitting this while working on my PR for #23833 so splitting that off as a separate change.
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... | 3 | 2019-02-20T09:33:10Z | 2020-11-04T19:32:29Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame.from_dict({'reg': [0,1,2], 'cat':pd.Categorical(['a','b','b'], categories=['a','b','c','d'])})
print(df.dtypes) # reg is int64, cat is categorical
df.loc[3] = (3, 'c') # add row with categorical value that... | {
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```
[ 3680s] =================================== FAILURES ===================================
[ 3680s] _______________________ TestRank.test_pct_max_many_rows ________________________
[ 3680s]
[ 3680s] self = <pandas.tests.frame.test_rank.TestRank object at 0x54f6d7ec>
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https://api.github.com/repos/pandas-dev/pandas/issues/25386 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25386/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25386/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25386/events | https://github.com/pandas-dev/pandas/issues/25386 | 412,412,454 | MDU6SXNzdWU0MTI0MTI0NTQ= | 25,386 | pytest fails for 0.23.4: `Shape of passed values is (2, 3), indices imply (2, 4)` in `TestDataFrameAnalytics.test_matmul` | {
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] | closed | false | null | [] | null | 2 | 2019-02-20T12:58:43Z | 2019-02-20T16:06:51Z | 2019-02-20T16:06:51Z | NONE | null | # Test output
```
=================================== FAILURES ===================================
______________________ TestDataFrameAnalytics.test_matmul ______________________
blocks = [array([[ 0.82824335, 0.9711043 , -0.43859174],
[ 0.48922558, 0.25556855, -2.00621065]])]
axes = [Index(['one', 't... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25387 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25387/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25387/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25387/events | https://github.com/pandas-dev/pandas/issues/25387 | 412,429,374 | MDU6SXNzdWU0MTI0MjkzNzQ= | 25,387 | pandas.DataFrame.rolling¶ - Bad Documentation | {
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] | closed | false | null | [] | null | 1 | 2019-02-20T13:37:37Z | 2019-02-20T15:30:56Z | 2019-02-20T15:30:56Z | NONE | null | Many things are unclear at the docs of the pandas.DataFrame.rolling.
A couple of them are the following:
1)
What is an offset?
2)
What is the position of the current value at the window?
From what I see is that the current value (of your pandas series to be processed) is the last of the rolling window. (... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25388 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25388/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25388/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25388/events | https://github.com/pandas-dev/pandas/pull/25388 | 412,450,421 | MDExOlB1bGxSZXF1ZXN0MjU0NjU1OTcw | 25,388 | DOC: Fix typo of see also in DataFrame stat funcs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25389 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25389/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25389/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25389/events | https://github.com/pandas-dev/pandas/issues/25389 | 412,524,642 | MDU6SXNzdWU0MTI1MjQ2NDI= | 25,389 | Putting an Arrow table into a Pandas series takes a long time | {
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```python
In [1]: import numpy as np, pandas as pd, pyarrow as pa
In [2]: df = pd.DataFrame({'x': np.arange(1000000)})
In [3]: %time t = pa.Table.from_pandas(df)
CPU times: user 5.36 ms, sys: ... | {
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] | closed | false | null | [] | null | 2 | 2019-02-20T18:50:46Z | 2019-02-21T06:53:29Z | 2019-02-21T06:53:21Z | NONE | null | From the [Anchored Offset Semantics](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#anchored-offsets) section of the docs:
> For the case when n=0, the date is not moved if on an anchor point, otherwise it is rolled forward to the next anchor point.
```
In [218]: pd.Timestamp('2014-01-02... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25391 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25391/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25391/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25391/events | https://github.com/pandas-dev/pandas/issues/25391 | 412,619,277 | MDU6SXNzdWU0MTI2MTkyNzc= | 25,391 | to_sql(method='multi') returns COUNT field incorrect or syntax error | {
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```python
Error: ('07002', '[07002] ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25392 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25392/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25392/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25392/events | https://github.com/pandas-dev/pandas/issues/25392 | 412,635,824 | MDU6SXNzdWU0MTI2MzU4MjQ= | 25,392 | Creating a dataframe from its rows has inconsistent type handling | {
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```python
df = pd.DataFrame(
{
"date": {
"a": pd.Timestamp("2019-02-22"),
"b": pd.Timestamp("2019-02-22"),
},
"other": {"a": "not empty"},
}
)
```
_ | date | other
-- | -- | --
a | 2019-02-22... | {
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```python
class PatternManager:
__community_alias_df = pd.read_csv(const.COMMUNITY_ALIAS, encoding='utf-8').fillna(value = "")
__community_alias_not_changed = False
def __del__(self):
PatternManager.writeDF()
pass
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https://api.github.com/repos/pandas-dev/pandas/issues/25394 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25394/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25394/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25394/events | https://github.com/pandas-dev/pandas/pull/25394 | 412,764,134 | MDExOlB1bGxSZXF1ZXN0MjU0ODk4NDY5 | 25,394 | BUG: pd.Series.interpolate non-numeric index column (21662) | {
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"followers_url": "https://api.github.com/users/j... | 9 | 2019-02-21T06:10:16Z | 2019-03-25T01:59:03Z | 2019-03-24T23:34:05Z | CONTRIBUTOR | null | - [x] closes #21662
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Raises a helpful exception when a non-numeric index is sent to ```interpolate``` with methods which require numeric index. Skipped a few methods which can also work on datetime index.
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... | 5 | 2019-02-21T06:30:47Z | 2020-09-04T22:30:21Z | 2020-09-04T22:30:20Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
ONEMIL = 1_000_000
big_ser = pd.Series([np.nan] + [1] * (ONEMIL))
big_ser.isin([np.nan]).head()
0 False
1 False
2 False
3 False
4 False
dtype: bool
big_ser.isin([np.nan]).value_counts()
False 100000... | {
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"description": "Interval... | open | false | null | [] | null | 2 | 2019-02-21T08:25:19Z | 2021-06-27T18:20:16Z | null | CONTRIBUTOR | null | In my trying to use pd.Intervals/pd.IntervalIndex (which are terrific additions), I've become somewhat perplexed with the default of `closed='right'`. Python slicing is inclusive-exclusive, so I thought `pd.Interval`s might have the same default. I imagine there is a reason for this that I haven't quite understood.
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https://api.github.com/repos/pandas-dev/pandas/issues/25397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25397/events | https://github.com/pandas-dev/pandas/issues/25397 | 412,806,813 | MDU6SXNzdWU0MTI4MDY4MTM= | 25,397 | DataFrame groupby.first() is much slower than groupby.nth(0) on categorical dtypes | {
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Consider carefully the example below, where a dataframe has two columns `c1` and `c2`. The number of unique values in the `c1` column (regardless of its datatype) increases the runtime of `first` _when and only whe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25398 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25398/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25398/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25398/events | https://github.com/pandas-dev/pandas/issues/25398 | 412,836,326 | MDU6SXNzdWU0MTI4MzYzMjY= | 25,398 | Please add more ways to remove header formatting when exporting to Excel | {
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] | closed | false | null | [] | null | 4 | 2019-02-21T09:51:55Z | 2019-02-22T15:11:08Z | 2019-02-21T16:57:01Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
pandas.io.formats.excel.header_style = None
pandas.core.format.header_style = None
pandas.formats.format.header_style = None
```
#### Problem description
Every time I try to make a simple xlsx file out of a bunch of SQL results I end up spendi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25399/events | https://github.com/pandas-dev/pandas/issues/25399 | 412,837,425 | MDU6SXNzdWU0MTI4Mzc0MjU= | 25,399 | Inconsistent handling of duplicate axes + mixed dtypes in `DataFrame.where` | {
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"de... | open | false | null | [] | null | 7 | 2019-02-21T09:54:20Z | 2021-08-19T16:10:21Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
result = pd.DataFrame([
[0, np.nan]
], columns=pd.Index(['A', 'A']))
mask = pd.DataFrame([[True, True]], *result.axes)
a = result.astype(object).where(mask) # works
b = result.astype('f8').where(mask) # works
c = result.T.where(mask.T).T ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25400/events | https://github.com/pandas-dev/pandas/pull/25400 | 412,941,473 | MDExOlB1bGxSZXF1ZXN0MjU1MDM2NTYw | 25,400 | Mark test_pct_max_many_rows as high memory | {
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- [ ] closes #25384
- [ ] 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/25401 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25401/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25401/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25401/events | https://github.com/pandas-dev/pandas/issues/25401 | 412,978,605 | MDU6SXNzdWU0MTI5Nzg2MDU= | 25,401 | No module named 'pandas.tslib'' | {
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the problem is 'ModuleNotFoundError: No module named 'pandas.tslib''
how to solve this problem?
i have install the qtpandas and pandas
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https://api.github.com/repos/pandas-dev/pandas/issues/25402 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25402/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25402/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25402/events | https://github.com/pandas-dev/pandas/pull/25402 | 412,995,004 | MDExOlB1bGxSZXF1ZXN0MjU1MDc5NTUz | 25,402 | CI: Set pytest minversion to 4.0.2 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/25403 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25403/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25403/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25403/events | https://github.com/pandas-dev/pandas/issues/25403 | 413,079,945 | MDU6SXNzdWU0MTMwNzk5NDU= | 25,403 | Constructing a df with readonly array of Periods fails | {
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"followers_url": "https://api.github.com/u... | 4 | 2019-02-21T19:11:02Z | 2019-03-07T14:24:56Z | 2019-03-07T14:24:56Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: import numpy as np
In [6]: pa = pd.PeriodIndex([pd.Period('2019-01-01')]).to_numpy()
In [8]: pa.setflags(write=False)
In [9]: pd.DataFrame(dict(date=pa, x=[1]))
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https://api.github.com/repos/pandas-dev/pandas/issues/25404 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25404/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25404/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25404/events | https://github.com/pandas-dev/pandas/issues/25404 | 413,137,993 | MDU6SXNzdWU0MTMxMzc5OTM= | 25,404 | Series.str.casefold | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-02-21T21:47:28Z | 2019-02-28T21:21:39Z | 2019-02-28T21:21:39Z | CONTRIBUTOR | null | `Series.str.lower` implements `str.lower`, as expected. There are also corresponding `Series` methods for the other Python 2 string casing methods. However, Python 3's `str.casefold` is missing. [Casefold](https://docs.python.org/3/library/stdtypes.html#str.casefold) improves string equality and other comparisons, beca... | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2019-02-22T01:27:18Z | 2019-02-25T22:35:40Z | 2019-02-22T02:18:45Z | NONE | null | #### Code Sample
```python
import pandas as pd
d = {'col1': ['a', 'b']}
df = pd.DataFrame(data=d)
df.col1 == 'interval' # works
df.col1 == 'bintervals' # works
df.col1 == 'intervals' # RecursionError
df.col1 == 'interval11111' # RecursionError
```
Reproduced on python 2.7.15, 3.6.7, 3.7.0, 3.7.2 on De... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25407 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25407/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25407/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25407/events | https://github.com/pandas-dev/pandas/pull/25407 | 413,263,497 | MDExOlB1bGxSZXF1ZXN0MjU1Mjg2ODY2 | 25,407 | dropna(subset=...) should accept incomplete key | {
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] | closed | false | null | [] | null | 5 | 2019-02-22T06:34:00Z | 2019-04-20T17:40:43Z | 2019-04-20T17:40:43Z | CONTRIBUTOR | null |
I'm not sure if this is the best way to go about solving this problem, so feedback would be appreciated.
- [x] closes #17737
- [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/25408 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25408/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25408/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25408/events | https://github.com/pandas-dev/pandas/issues/25408 | 413,327,873 | MDU6SXNzdWU0MTMzMjc4NzM= | 25,408 | Unexpected to_dict output after upgrading to 0.24.1 | {
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... | 3 | 2019-02-22T09:59:59Z | 2020-12-20T16:10:43Z | null | NONE | null | #### Code to illustrate 0.23.4 versus 0.24.1
#### pandas 0.23.4
```python
import pandas as pd
columns = ["A", "B"]
pd.DataFrame(columns=columns).transpose().to_dict(orient="split")
# output
# {'index': ['A', 'B'], 'columns': [], 'data': [[], []]}
pd.DataFrame(columns=columns).transpose().values.tolist()
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https://api.github.com/repos/pandas-dev/pandas/issues/25409 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25409/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25409/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25409/events | https://github.com/pandas-dev/pandas/issues/25409 | 413,371,347 | MDU6SXNzdWU0MTMzNzEzNDc= | 25,409 | Factorize don't preserve na_sentinel values when sort is specified | {
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"description": "Non-arithmetic algos: va... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/u... | 7 | 2019-02-22T11:53:45Z | 2019-03-12T20:25:37Z | 2019-03-12T20:25:26Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
print("\nWithout sort:")
labels, uniques = pd.factorize(['b', None, 'a', 'c', 'b'], na_sentinel=100)
print("Labels: {}".format(labels))
print("Uniques: {}".format(uniques))
print("\nWith sort:")
labels, uniques = pd.factorize(['b', None, 'a', 'c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25410 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25410/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25410/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25410/events | https://github.com/pandas-dev/pandas/pull/25410 | 413,404,734 | MDExOlB1bGxSZXF1ZXN0MjU1Mzk1MzMz | 25,410 | DOC: Edited docstring of Interval | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-02-22T13:31:11Z | 2019-02-22T15:14:22Z | 2019-02-22T15:13:31Z | CONTRIBUTOR | null | The docstring contained a repeated segment, which I removed. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25411 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25411/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25411/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25411/events | https://github.com/pandas-dev/pandas/issues/25411 | 413,405,973 | MDU6SXNzdWU0MTM0MDU5NzM= | 25,411 | Unexpected result with Resampler.apply for non-naive time index | {
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... | open | false | null | [] | null | 5 | 2019-02-22T13:34:18Z | 2020-06-08T19:19:10Z | null | CONTRIBUTOR | null | When resampling a non-naive time series with a custom function (using apply or agg), an unexpected result is returned.
```python
import pandas as pd
def weighted_quantile(series, weights, q):
series = series.sort_values()
cumsum = weights.reindex(series.index).fillna(0).cumsum()
cutoff = cumsum.il... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25412 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25412/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25412/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25412/events | https://github.com/pandas-dev/pandas/issues/25412 | 413,449,759 | MDU6SXNzdWU0MTM0NDk3NTk= | 25,412 | pd.concat doesn't preserve Categorical dtype when the categorical columns is missing in one of the DataFrames. | {
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... | 6 | 2019-02-22T15:19:30Z | 2021-06-27T18:32:43Z | null | NONE | null | ```python
a = pd.DataFrame({'f1': [1,2,3]})
b = pd.DataFrame({'f1': [2,3,1], 'f2': pd.Series([4,4,4]).astype('category')})
pd.concat((a,b), sort=True).dtypes
>> f1 int64
>> f2 object
>> dtype: object
```
#### Problem description
(Similar to #14016, not sure if it's caused by the same bug or another ... | {
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