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_countnon-NA values are present the result will be NA.
- Returns
- Series or DataFrame
Computed max of values within each group.