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Follow-up:
https://github.com/pandas-dev/pandas/pull/30771#discussion_r363684666 | {
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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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```python
import pandas as pd
import numpy as np
df = pd.DataFrame(
{
'A': ['foo', 'foo', 'foo', 'foo', 'bar', 'bar', 'baz'],
'B': [1, 2, np.nan, 3, 3, np.nan, 4],
'C': [np.nan]*7,
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Added a simple check not to allow nan values for calculation. Numpy seems to throw error when nan values are passed to searchsorted function.
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Access "DataFrame" each column, fills up NA values using "Series.fillna"
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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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https://api.github.com/repos/pandas-dev/pandas/issues/30924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30924/events | https://github.com/pandas-dev/pandas/issues/30924 | 548,450,445 | MDU6SXNzdWU1NDg0NTA0NDU= | 30,924 | BUG: Wrong error message is raised when columns=None in df.pivot | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.pivot.html
```
index : string or object, optional
Column to use to make new frame’s index. If None, uses existing index.
columns : string or objec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30925/events | https://github.com/pandas-dev/pandas/pull/30925 | 548,450,688 | MDExOlB1bGxSZXF1ZXN0MzYxNzQ0MTk4 | 30,925 | BUG: correct wrong error message in df.pivot when columns=None | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/30926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30926/events | https://github.com/pandas-dev/pandas/pull/30926 | 548,471,619 | MDExOlB1bGxSZXF1ZXN0MzYxNzU4ODY4 | 30,926 | DOC: Fix whatsnew contributors section | {
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](https://dev.pandas.io/docs/whatsnew/v1.0.0.html#contributors) is empty, and the [0.25.3 Contributors section](https://dev.pandas.io/docs/whatsnew/v0.25.3.html#contributors) looks way to big. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30927/events | https://github.com/pandas-dev/pandas/issues/30927 | 548,477,203 | MDU6SXNzdWU1NDg0NzcyMDM= | 30,927 | DOC: Whatsnew for 1.0 has deprecations listed in Enhancements section | {
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- The pandas.np submodule is now deprecated. Import numpy directly instead (GH30296)
- The pandas.datetime class is now deprecated. Import from datetime instead (GH30296)
Sh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30928/events | https://github.com/pandas-dev/pandas/pull/30928 | 548,479,771 | MDExOlB1bGxSZXF1ZXN0MzYxNzY0NTY4 | 30,928 | ENH: Allow multi values for index and columns in df.pivot | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/30929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30929/events | https://github.com/pandas-dev/pandas/pull/30929 | 548,479,946 | MDExOlB1bGxSZXF1ZXN0MzYxNzY0Njk0 | 30,929 | ENH: Implement convert_dtypes | {
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- [x] tests added / passed
- pandas/tests/series/test_dtypes.py:test_convert_dtypes
- pandas/tests/frame/test_dtypes.py:test_convert_dtypes
- [x] passes `black pandas`
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```
In [2]: rng = pd.Index(range(10**5))
In [3]: %timeit rng.get_loc(5.0)
6.38 µs ± 381 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) <-- master
1.15 µs ± 40.9 ns per loop (mean ± std. dev. of 7 runs, 100... | {
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... | closed | false | null | [] | null | 10 | 2020-01-11T22:13:24Z | 2020-01-30T01:40:01Z | 2020-01-30T01:40:00Z | NONE | null | Installing the release candidate into a new Python 3.7 conda environment throws errors.
Do I need to be doing something differently?
#### Other notes:
- Installing jupyterlab in the same conda environment works fine.
- Creating a virtual environment with venv and using pip to install pandas 1.0.0rc0 works fine... | {
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#29547 is working on rep... | {
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By natural extension, we should allow `expanding.apply` to utilize Numba by adding the same `engine` keyword argument to `expanding.apply` | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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```python
# Your code here
# convert just selected columns to numeric
df2[["BATTING_Tests_Mat", "BATTING_Tests_Inns","BATTING_Tests_NO","BATTING_Tests_Runs","BATTING_Tests_HS","BATTING_Tests_Ave","BATTING_Tests_SR"]]= df2[["BATTING_Tests_Mat", "BATTING_Tests_I... | {
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```
None:None:SS03:pandas.DatetimeIndex.freqstr:Summary does not end with a period
None:None:SS03:pandas.PeriodIndex.freqstr:Summary does not end with a period
pandas/pandas/core/window/indexers.py:34:SS03:pandas.api.indexers.BaseIndexer:Summary does not end with a period
```
Related to #2... | {
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... | 9 | 2020-01-12T18:12:25Z | 2020-01-30T12:47:32Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
On `master` trying to use `pd.NA` as an input to `searchsorted` fails, and trying to use the `searchsorted` of an array containing `pd.NA` also fails:
```python-traceback
In [1]: import numpy as np; import pandas as pd; pd.__version__
Out[1]: '1.0.0rc0+15.g4e2... | {
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Also renames the func ``resample`` to ``get_resampler`` and import the groupby types used for type checking in frame.py/series.py undir the ``if TYPE_CHECKING:`` clause. | {
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Removes: maybe_datetimelike_to_i8, along with the recently-removed _to_M8 and he hopefully soon-removed pydt_to_i8 (xred #30854) i think we'll be rid of our kludgy datetime casting functions.
Performance neutral:
```
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I recently had to use this function and found the existing docs a bit confusing. I actually created a truth table (below), but this is probably a bit much for the docs.
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```python
# Your code here
dtf = dtf.groupby('xGUID', sort=True).apply(x_apply)
```
#### Problem description
```
2020-01-12 21:32:07,672|root|99634|MainProcess|CRITICAL| Exception Information
2020-01-12 21:32:07,672|root|99634|MainProcess|CRITICAL| Type: ... | {
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In [59]: 1 ** pd.NA
Out[59]: 1
In [60]: (-1) ** pd.NA
Out[60]: -1
```
But for -1 this should probably be pd.NA as result in the end, see https://mail.python.org/pipermail/pandas-dev/2020-Jan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30958/events | https://github.com/pandas-dev/pandas/issues/30958 | 548,821,700 | MDU6SXNzdWU1NDg4MjE3MDA= | 30,958 | pd.Series.sum() returns nan for Int64 with pd.NA | {
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I'm not sure this is a bug or intended behavior. If intended, I'm glad to be pointed to how API design was discussed and decided.
On `1.0.0 rc0`, `pd.Series.sum()`returns `nan` when using `skipna=False` for `'Int64'` with `pd.NA`.
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https://api.github.com/repos/pandas-dev/pandas/issues/30959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30959/events | https://github.com/pandas-dev/pandas/pull/30959 | 548,861,057 | MDExOlB1bGxSZXF1ZXN0MzYyMDYxNTA4 | 30,959 | ENH: Add Stata 119 writer | {
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Rename new writer to StataWriterUTF8 since no longer version-specific
Improve exception message for unsupported files
Fix small issues in to_stata missed in 118
- [X] xref #23573 (already closed)
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https://api.github.com/repos/pandas-dev/pandas/issues/30960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30960/events | https://github.com/pandas-dev/pandas/pull/30960 | 548,882,119 | MDExOlB1bGxSZXF1ZXN0MzYyMDc4ODIz | 30,960 | [BUG] -1 to the power of pd.NA was returning -1 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30961/events | https://github.com/pandas-dev/pandas/pull/30961 | 548,894,026 | MDExOlB1bGxSZXF1ZXN0MzYyMDg4MTk5 | 30,961 | DOC: Move couple of deprecations whatsnew to correct section | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30962/events | https://github.com/pandas-dev/pandas/issues/30962 | 548,905,012 | MDU6SXNzdWU1NDg5MDUwMTI= | 30,962 | AttributeError: 'FrameFixed' object has no attribute 'format_type' on 1.0.0rc0 | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2020-01-13T12:41:15Z | 2020-01-22T14:16:46Z | 2020-01-22T14:16:46Z | CONTRIBUTOR | null | ```python
import pandas as pd
df = pd.DataFrame({"A": [1, 2]})
df.to_hdf("foo.h5", "foo")
with pd.HDFStore("foo.h5") as hdf:
for key in hdf.keys():
storer = hdf.get_storer(key)
print(type(storer), storer.format_type)
```
On 0.25.3, we have
```python
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Personally, I'd just keep the last section on `PANDAS_TESTING_MODE`. Not sure if the best would be to move it to the CI part of the docs: https://pandas.io/docs/development/co... | {
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#### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: df = pd.DataFr... | {
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```python
import pandas as pd
s = pd.Series(['A', 'B', 'C', 'Aaba', 'Baca', np.nan, 'CABA', 'dog', 'cat'], dtype="string")
type(s.str.lower()[5]) # returns <class 'float'>
```
#### Problem description
the `str` accessor, when working on string-typed series, should return a string-typed series... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30967 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30967/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30967/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30967/events | https://github.com/pandas-dev/pandas/issues/30967 | 548,980,286 | MDU6SXNzdWU1NDg5ODAyODY= | 30,967 | DataFrame.diff fails with nullable integers | {
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#### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({"a": [1, 2, 3]}, dtype="Int16")
df.diff()
```
#### Problem description
This returns
```
IndexError: list assignment index out of range
```
####... | {
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```python
import pandas as pd
df = pd.Series(['a1', 'b2', 'c3'], dtype="string").str.extract(r'([ab])(\d)', expand=False)
df.dtypes
```
returns
```
0 object
1 object
dtype: object
```
#### Problem description
the str accessor, when working on st... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30970/events | https://github.com/pandas-dev/pandas/pull/30970 | 549,029,743 | MDExOlB1bGxSZXF1ZXN0MzYyMTk3NzQy | 30,970 | default set to openpyxl | {
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- [ ] tests added / passed
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Just realized that I should probably check boolean dtype as well | {
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The way it is implemented, we expect isort to not print anything in the terminal if everything is ok, and to show errors for the error... | {
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The behavior of the following changed with 1.0.0rc0
```python
>>> import pandas as pd
>>> df = pd.DataFrame({"A": [1,2], "B": [3, 4]})
>>> df.A.append(df)
```
On 0.25.3, we have
```python
0 A B
0 1.0 NaN NaN
1 2.0 NaN NaN
0 NaN ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30977/events | https://github.com/pandas-dev/pandas/pull/30977 | 549,097,747 | MDExOlB1bGxSZXF1ZXN0MzYyMjUzMDky | 30,977 | JSON Date Handling 1.0 Regressions | {
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Came across these adding parametrized tests in #30903 which this pulls some elements from but which will also ultimately refactor to avoid duplication; just getting this to work as is
To be clear the regressions were:
1. ISO dates with datetime.date objects was broken
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https://api.github.com/repos/pandas-dev/pandas/issues/30979 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30979/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30979/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30979/events | https://github.com/pandas-dev/pandas/pull/30979 | 549,126,255 | MDExOlB1bGxSZXF1ZXN0MzYyMjc2NDk2 | 30,979 | STY: concat strings | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30980 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30980/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30980/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30980/events | https://github.com/pandas-dev/pandas/pull/30980 | 549,130,517 | MDExOlB1bGxSZXF1ZXN0MzYyMjgwMDI4 | 30,980 | API: Disallow NaN in StringArray constructor | {
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~There were a few ways we could have done this. I opted for this way since it still only requires a single pass over the data to validate the values. Other ways like checking for `np.isnan` after checking `is_string_array` would have required a second pass.~
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https://api.github.com/repos/pandas-dev/pandas/issues/30982 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30982/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30982/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30982/events | https://github.com/pandas-dev/pandas/pull/30982 | 549,172,965 | MDExOlB1bGxSZXF1ZXN0MzYyMzE0NTA4 | 30,982 | PERF: masked ops for reductions (sum) | {
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This is also quite a bit faster. On master:
```
In [1]: a = np... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30985 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30985/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30985/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30985/events | https://github.com/pandas-dev/pandas/pull/30985 | 549,202,540 | MDExOlB1bGxSZXF1ZXN0MzYyMzM5MTQx | 30,985 | DOC: remove Table of Contents on the contributing page | {
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] | closed | false | null | [] | null | 8 | 2020-01-13T21:50:29Z | 2020-03-07T20:03:53Z | 2020-03-07T20:03:52Z | MEMBER | null | Currently, the contributing page (https://pandas.pydata.org/pandas-docs/version/1.0.0/development/contributing.html) starts with "Table of Contents".
This PR removes that, because 1) we do that on none of the other pages in our docs and 2) with the new theme, there is a page table of contents in the right sidebar as ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30986/events | https://github.com/pandas-dev/pandas/issues/30986 | 549,205,157 | MDU6SXNzdWU1NDkyMDUxNTc= | 30,986 | Cannot write MultiIndex DataFrame to excel (to_excel) which contains Peroid IntervalIndex | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-01-13T21:56:01Z | 2020-01-24T19:04:55Z | 2020-01-24T19:04:55Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
midx = pd.MultiIndex.from_arrays(
[
np.repeat([1, 2], 2),
pd.interval_range(start=pd.Timestamp("2020-01-01"), periods=4, freq="6M"),
]
)
df = pd.DataFrame(data=np.random.randint... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30987 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30987/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30987/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30987/events | https://github.com/pandas-dev/pandas/pull/30987 | 549,205,981 | MDExOlB1bGxSZXF1ZXN0MzYyMzQxOTc5 | 30,987 | FIX: Added small corrections to the test for interpolate limit_area | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-01-13T21:57:44Z | 2020-01-13T22:54:26Z | 2020-01-13T22:30:25Z | CONTRIBUTOR | null | - [ ] closes # nothing to close here
- [ ] tests added / passed
- [ ] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry # not required for this minor fix
Some `tm.assert_series_equal()` have been forgotten in https://github.com/pandas-dev/pandas/blob/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30988 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30988/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30988/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30988/events | https://github.com/pandas-dev/pandas/issues/30988 | 549,209,538 | MDU6SXNzdWU1NDkyMDk1Mzg= | 30,988 | BUG: assigment of list with boolean mask scrambles values | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2020-01-13T22:05:39Z | 2020-01-14T12:02:14Z | 2020-01-14T12:01:53Z | MEMBER | null | From [gitter](https://gitter.im/pydata/pandas?at=5e0a26d5d5a7f357e6a84f42) (didn't see it reported in an issue):
```
x = pd.Series([None] * 10)
y = [False] * 3 + [True] * 5 + [False] * 2
x[y] = list(range(5))
x
```
gives:
```
0 None
1 None
2 None
3 3
4 4
5 0
6 1
7 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30989 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30989/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30989/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30989/events | https://github.com/pandas-dev/pandas/pull/30989 | 549,229,154 | MDExOlB1bGxSZXF1ZXN0MzYyMzYxMTEx | 30,989 | Update _json.py | {
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`TypeError: initial_value must be str or None, not bytes`
- [x] closes #28906
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This might add a bit of build time to macOS (I think partially explains why it'... | {
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During the test, I also realized that the Pandas kurtosis value was constantly changing according to the starting point.
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dti = pd.date_range("2016-01-01", periods=3)
dti2 = dti.tz_localize("UTC").tz_convert("US/Pacific")
>>> dti.get_loc(dti2[0])
0
>>> dti2.get_loc(dti[0])
KeyError: Timestamp('2016-01-01 00:00:00-0800', tz='US/Pacific', freq='D')
ser = pd.Series(range(3), index=dti)
ser2 = pd.Series(range(3), index=dti2)
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... | 84 | 2020-01-14T12:17:56Z | 2021-01-05T18:47:07Z | 2021-01-05T18:47:07Z | MEMBER | null | End users rely on error messages for their debugging purposes. Thus, it is important that we make sure that the correct error messages are surfaced depending on the error triggered.
The core idea is to convert this:
```python
with pytest.raises(klass):
# Some code that raise an error
```
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/31002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31002/events | https://github.com/pandas-dev/pandas/issues/31002 | 549,565,473 | MDU6SXNzdWU1NDk1NjU0NzM= | 31,002 | reindex-like has inconsistent behaviour and exceptions if columns don't match | {
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] | open | false | null | [] | null | 2 | 2020-01-14T13:24:37Z | 2021-07-27T04:26:05Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df_1 = pd.DataFrame(data=[1,2,3],columns=['a'])
df_2 = pd.DataFrame(data=[4,5,6],index=[0.5,1.5,2.5],columns=['b'])
df_2.reindex_like(df_1, method="bfill") # backfills as if columns matched
df_2.reindex_like(df_1, method="ffill") # all NaN
df_2.re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31003/events | https://github.com/pandas-dev/pandas/issues/31003 | 549,570,647 | MDU6SXNzdWU1NDk1NzA2NDc= | 31,003 | incorrect docs: pd.NA ** 0 should return 1 | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2020-01-14T13:33:21Z | 2020-01-14T21:33:15Z | 2020-01-14T21:33:15Z | CONTRIBUTOR | null | `pd.NA ** 0` returns 1. which is correct, as far as I understand <sup>1</sup>
However, the [documents, line 832](https://dev.pandas.io/docs/user_guide/missing_data.html) incorrectly claims that `pd.NA ** 0` returns 0.
----
<sup>1</sup> although one can ask if `NULL**0` should behave like `NAN**0` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31004 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31004/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31004/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31004/events | https://github.com/pandas-dev/pandas/pull/31004 | 549,590,993 | MDExOlB1bGxSZXF1ZXN0MzYyNjU0MTEz | 31,004 | docs: removed wrong value in `pd.NA ** 0` | {
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- [x] closes #31003
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31005 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31005/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31005/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31005/events | https://github.com/pandas-dev/pandas/pull/31005 | 549,598,946 | MDExOlB1bGxSZXF1ZXN0MzYyNjYwNDcx | 31,005 | DOC: removed wrong value of `pd.NA ** 0` | {
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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/31006 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31006/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31006/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31006/events | https://github.com/pandas-dev/pandas/issues/31006 | 549,621,097 | MDU6SXNzdWU1NDk2MjEwOTc= | 31,006 | Using the same column twice within pd.DataFrameGroupBy.agg named arguments | {
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Currently, in .agg, one cannot use the same column more than once, so the following code results in an error:
```
df = pd.DataFrame({
'group': [1,1,2,2],
'var1': [1,2,3,4]
})
df.groupby(
'group'
).agg(
sum1 = ('var1', lambda x: x[x > 1].sum()),
sum2 = ('va... | {
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... | open | false | null | [] | null | 2 | 2020-01-14T15:51:18Z | 2021-04-06T11:40:24Z | null | NONE | null | #### Problem description
When using a rolling agg function on a groupby object, we cannot ommit the groupby columns from the resulting dataframe's index using `as_index = False`, like we can when applying a non-rolling agg function.
#### Code Sample
```python
import pandas as pd
data = {
'groupby_col'... | {
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- [X] xref #30964
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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_Sphinx documentation_: http://sphinx.pocoo.org/
_Introduction to reST_: http://sphinx.pocoo.org/rest.html
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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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Made to the wrong branch. | {
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