pandas.core.groupby.GroupBy.max#

final GroupBy.max(numeric_only=False, min_count=- 1, engine=None, engine_kwargs=None)[source]#

Compute max of group values.

Parameters
numeric_onlybool, default False

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

min_countint, default -1

The required number of valid values to perform the operation. If fewer than min_count non-NA values are present the result will be NA.

Returns
Series or DataFrame

Computed max of values within each group.