cudf.Index.any#
- Index.any()[source]#
Return whether any elements is True in DataFrame.
- Parameters:
- axis{0 or ‘index’, 1 or ‘columns’, None}, default 0
Indicate which axis or axes should be reduced. For Series this parameter is unused and defaults to 0.
- 0 or ‘index’reduce the index, return a Series
whose index is the original column labels.
- 1 or ‘columns’reduce the columns, return a Series
whose index is the original index.
None : reduce all axes, return a scalar.
- 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 bool_only.
Examples
>>> import cudf >>> df = cudf.DataFrame({'a': [3, 2, 3, 4], 'b': [7, 0, 10, 10]}) >>> df.any() a True b True dtype: bool
Pandas Compatibility Note
pandas.DataFrame.any()
,pandas.Series.any()
Parameters currently not supported are axis, bool_only, level.