cudf.core.groupby.DataFrameGroupBy.idxmax

DataFrameGroupBy.idxmax(

skipna: bool = True,

min_count: int = 0,

numeric_only: bool = False,

**kwargs: Any,

) → DataFrame

Compute idxmax of group values.

Parameters:

numeric_onlybool, default None

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

min_countint, default 0

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 idxmax of values within each group.

Pandas Compatibility Note

pandas.api.typing.DataFrameGroupBy.idxmax(),

pandas.api.typing.SeriesGroupBy.idxmax()

The numeric_only, min_count