HyukjinKwon commented on a change in pull request #33625:
URL: https://github.com/apache/spark/pull/33625#discussion_r683907441
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File path: python/pyspark/pandas/frame.py
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@@ -3459,6 +3458,111 @@ def mask(
cond_inversed = cond._apply_series_op(lambda psser: ~psser)
return self.where(cond_inversed, other)
+ # TODO: Support axis as 1 or 'columns'
+ def mode(
+ self, axis: Union[int, str] = 0, numeric_only: bool = False, dropna:
bool = True
+ ) -> "DataFrame":
+ """
+ Get the mode(s) of each element along the selected axis.
+
+ The mode of a set of values is the value that appears most often.
+ It can be multiple values.
+
+ .. note:: the current implementation of mode requires joins
+ multiple times(columns count - 1 times when axis is 0 or 'index'),
+ which is potentially expensive.
+
+ .. note:: the order of multiple modes (within a column when axis is 0
or 'index')
+ is not determined.
Review comment:
Maybe we can move them to:
```
Notes
------
...
```
below. (https://numpydoc.readthedocs.io/en/latest/format.html#notes)
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