pandas.core.groupby.SeriesGroupBy.all — pandas 2.2.3 documentation (original) (raw)

SeriesGroupBy.all(skipna=True)[source]#

Return True if all values in the group are truthful, else False.

Parameters:

skipnabool, default True

Flag to ignore nan values during truth testing.

Returns:

Series or DataFrame

DataFrame or Series of boolean values, where a value is True if all elements are True within its respective group, False otherwise.

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', 'b'] ser = pd.Series([1, 2, 0], index=lst) ser a 1 a 2 b 0 dtype: int64 ser.groupby(level=0).all() a True b False dtype: bool

For DataFrameGroupBy:

data = [[1, 0, 3], [1, 5, 6], [7, 8, 9]] df = pd.DataFrame(data, columns=["a", "b", "c"], ... index=["ostrich", "penguin", "parrot"]) df a b c ostrich 1 0 3 penguin 1 5 6 parrot 7 8 9 df.groupby(by=["a"]).all() b c a 1 False True 7 True True