pyspark.pandas.Series.all¶

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

Return whether all elements are True.

Returns True unless there at least one element within a series that is False or equivalent (e.g. zero or 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([True, True]).all()
True

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

>>> ps.Series([0, 1]).all()
False

>>> ps.Series([1, 2, 3]).all()
True

>>> ps.Series([True, True, None]).all()
True

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

>>> ps.Series([]).all()
True

>>> ps.Series([np.nan]).all()
True

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