xinrong-databricks opened a new pull request, #36444:
URL: https://github.com/apache/spark/pull/36444
### What changes were proposed in this pull request?
Adjust `GroupBy.std` to match pandas 1.4.
### Why are the changes needed?
Improve API compatibility with pandas.
### Does this PR introduce _any_ user-facing change?
Yes.
```py
>>> psdf = ps.DataFrame(
... {
... "A": [1, 2, 1, 2],
... "B": [3.1, 4.1, 4.1, 3.1],
... "C": ["a", "b", "b", "a"],
... "D": [True, False, False, True],
... }
... )
>>> psdf
A B C D
0 1 3.1 a True
1 2 4.1 b False
2 1 4.1 b False
3 2 3.1 a True
### Before
>>> psdf.groupby('A')[['C']].std()
Empty DataFrame
Columns: []
Index: [1, 2]
### After
>>> psdf.groupby('A')[['C']].std()
...
TypeError: Unaccepted data types of aggregation columns; numeric or bool
expected.
```
### How was this patch tested?
Unit tests.
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