cudf.Series.max#

Series.max(axis=0, skipna=True, numeric_only=False, **kwargs)[source]#

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.

numeric_only: bool, default False

If True, includes only float, int, boolean columns. If False, will raise error in-case there are non-numeric columns.

Returns:
Series

Examples

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

Pandas Compatibility Note

DataFrame.max, Series.max

Parameters currently not supported are level, numeric_only.