cudf.DataFrame.any

DataFrame.any(axis=0, bool_only=None, skipna=True, level=None, **kwargs)

Return whether any elements is True in DataFrame.

Parameters

skipna: bool, default True

Exclude NA/null values. If the entire row/column is NA and skipna is True, then the result will be False, as for an empty row/column. If skipna is False, then NA are treated as True, because these are not equal to zero.

Returns

Series

Notes

Parameters currently not supported are axis, bool_only, level.

Examples

>>> import cudf
>>> df = cudf.DataFrame({'a': [3, 2, 3, 4], 'b': [7, 0, 10, 10]})
>>> df.any()
a    True
b    True
dtype: bool