ueshin opened a new pull request, #54285:
URL: https://github.com/apache/spark/pull/54285
### What changes were proposed in this pull request?
Deals with `include_groups` for `groupby.apply`.
- Added `include_groups` for `groupby.apply`
- with pandas 2
- `True` by default
- If set to `False`, it behaves like pandas 3
- with pandas 3
- `False` by default
- If set to `True`, it raises an exception
### Why are the changes needed?
`df.groupby.apply()` now has `include_groups=False` by default, which
differs from our behavior.
For example:
```py
>>> import pandas as pd
>>> pdf = pd.DataFrame(
... {"a": [1, 2, 3, 4, 5, 6], "b": [1, 1, 2, 3, 5, 8], "c": [1, 4, 9,
16, 25, 36]},
... columns=["a", "b", "c"],
... )
```
- pandas 2
```py
>>> pd.__version__
'2.3.3'
>>> pdf.groupby("b").apply(lambda x: x + x.min())
a b c
b
1 0 2 2 2
1 3 2 5
2 2 6 4 18
3 3 8 6 32
5 4 10 10 50
8 5 12 16 72
>>> pdf.groupby("b").apply(lambda x: x + x.min(), include_groups=False)
a c
b
1 0 2 2
1 3 5
2 2 6 18
3 3 8 32
5 4 10 50
8 5 12 72
```
- pandas 3
```py
>>> pd.__version__
'3.0.0'
>>> pdf.groupby("b").apply(lambda x: x + x.min())
a c
b
1 0 2 2
1 3 5
2 2 6 18
3 3 8 32
5 4 10 50
8 5 12 72
>>> pdf.groupby("b").apply(lambda x: x + x.min(), include_groups=True)
Traceback (most recent call last):
...
ValueError: include_groups=True is no longer allowed.
```
### Does this PR introduce _any_ user-facing change?
Yes, it will behave more like pandas 3.
### How was this patch tested?
Updated the related tests.
### Was this patch authored or co-authored using generative AI tooling?
No.
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