pyspark.pandas.Series.any¶

Series.any(axis: Union[int, str] = 0) → bool¶

Return whether any element is True.

Returns False unless there at least one element within a series that is True or equivalent (e.g. non-zero or non-empty).

Parameters

axis{0 or ‘index’}, default 0

Indicate which axis or axes should be reduced.

0 / ‘index’ : reduce the index, return a Series whose index is the original column labels.

Examples

>>> ps.Series([False, False]).any()
False

>>> ps.Series([True, False]).any()
True

>>> ps.Series([0, 0]).any()
False

>>> ps.Series([0, 1, 2]).any()
True

>>> ps.Series([False, False, None]).any()
False

>>> ps.Series([True, False, None]).any()
True

>>> ps.Series([]).any()
False

>>> ps.Series([np.nan]).any()
False

>>> df = ps.Series([True, False, None]).rename("a").to_frame()
>>> df.set_index("a").index.any()
True