xinrong-databricks opened a new pull request #33929:
URL: https://github.com/apache/spark/pull/33929
### What changes were proposed in this pull request?
Support dropping rows of a single-indexed DataFrame.
### 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 ###
>>> 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)
...
TypeError: drop() got an unexpected keyword argument 'index'
### To ###
>>> 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
```
### How was this patch tested?
Unit tests.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
