cudf.Series.max

Series.max(axis=_NoDefault.no_default, skipna=True, level=None, numeric_only=None, **kwargs)

Return the maximum of the values in the DataFrame.

Parameters:

axis: {index (0), columns(1)}

Axis for the function to be applied on.

skipna: bool, default True

Exclude NA/null values when computing the result.

level: int or level name, default None

If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series.

numeric_only: bool, default None

Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.

Returns:

Series

Notes

Parameters currently not supported are level, numeric_only.

Examples

>>> import cudf
>>> df = cudf.DataFrame({'a': [1, 2, 3, 4], 'b': [7, 8, 9, 10]})
>>> df.max()
a     4
b    10
dtype: int64