GroupBy.idxmin(numeric_only: bool = False, min_count: int = 0, *args, **kwargs)[source]#

Compute idxmin of group values.

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.

Series or DataFrame

Computed idxmin of values within each group.