### What changes were proposed in this pull request?
Support dropping rows of a single-indexed DataFrame.
Dropping rows and columns at the same time is supported in this PR as well.
### Why are the changes needed?
To increase pandas API coverage.
### Does this PR introduce _any_ user-facing change?
Yes, dropping rows of a single-indexed DataFrame is supported now.
```py
>>> df = ps.DataFrame(np.arange(12).reshape(3, 4), columns=['A', 'B', 'C', 'D'])
>>> df
A B C D
0 0 1 2 3
1 4 5 6 7
2 8 9 10 11
```
#### From
```py
>>> df.drop([0, 1])
Traceback (most recent call last):
...
KeyError: [(0,), (1,)]
>>> df.drop([0, 1], axis=0)
Traceback (most recent call last):
...
NotImplementedError: Drop currently only works for axis=1
>>> df.drop(1)
Traceback (most recent call last):
...
KeyError: [(1,)]
>>> df.drop(index=1)
Traceback (most recent call last):
...
TypeError: drop() got an unexpected keyword argument 'index'
>>> df.drop(index=[0, 1], columns='A')
Traceback (most recent call last):
...
TypeError: drop() got an unexpected keyword argument 'index'
```
#### To
```py
>>> df.drop([0, 1])
A B C D
2 8 9 10 11
>>> df.drop([0, 1], axis=0)
A B C D
2 8 9 10 11
>>> df.drop(1)
A B C D
0 0 1 2 3
2 8 9 10 11
>>> df.drop(index=1)
A B C D
0 0 1 2 3
2 8 9 10 11
>>> df.drop(index=[0, 1], columns='A')
B C D
2 9 10 11
```
### How was this patch tested?
Unit tests.
Closes#33929 from xinrong-databricks/frame_drop.
Authored-by: Xinrong Meng <xinrong.meng@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
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