### What changes were proposed in this pull request?
This PR proposes to fix `RollingGroupBy` and `ExpandingGroupBy` to follow latest pandas behavior.
`RollingGroupBy` and `ExpandingGroupBy` no longer returns grouped-by column in values from pandas 1.3.
Before:
```python
>>> df = pd.DataFrame({"A": [1, 1, 2, 3], "B": [0, 1, 2, 3]})
>>> df.groupby("A").rolling(2).sum()
A B
A
1 0 NaN NaN
1 2.0 1.0
2 2 NaN NaN
3 3 NaN NaN
```
After:
```python
>>> df = pd.DataFrame({"A": [1, 1, 2, 3], "B": [0, 1, 2, 3]})
>>> df.groupby("A").rolling(2).sum()
B
A
1 0 NaN
1 1.0
2 2 NaN
3 3 NaN
```
### Why are the changes needed?
We should follow the behavior of pandas as much as possible.
### Does this PR introduce _any_ user-facing change?
Yes, the result of `RollingGroupBy` and `ExpandingGroupBy` is changed as described above.
### How was this patch tested?
Unit tests.
Closes#33646 from itholic/SPARK-36388.
Authored-by: itholic <haejoon.lee@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
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