pandas.core.groupby.DataFrameGroupBy.cummin — pandas 2.2.3 documentation (original) (raw)

DataFrameGroupBy.cummin(axis=<no_default>, numeric_only=False, **kwargs)[source]#

Cumulative min for each group.

Returns:

Series or DataFrame

See also

Series.groupby

Apply a function groupby to a Series.

DataFrame.groupby

Apply a function groupby to each row or column of a DataFrame.

Examples

For SeriesGroupBy:

lst = ['a', 'a', 'a', 'b', 'b', 'b'] ser = pd.Series([1, 6, 2, 3, 0, 4], index=lst) ser a 1 a 6 a 2 b 3 b 0 b 4 dtype: int64 ser.groupby(level=0).cummin() a 1 a 1 a 1 b 3 b 0 b 0 dtype: int64

For DataFrameGroupBy:

data = [[1, 0, 2], [1, 1, 5], [6, 6, 9]] df = pd.DataFrame(data, columns=["a", "b", "c"], ... index=["snake", "rabbit", "turtle"]) df a b c snake 1 0 2 rabbit 1 1 5 turtle 6 6 9 df.groupby("a").groups {1: ['snake', 'rabbit'], 6: ['turtle']} df.groupby("a").cummin() b c snake 0 2 rabbit 0 2 turtle 6 9