modin.pandas.DataFrameGroupBy.all¶
- DataFrameGroupBy.all(skipna: bool = True)[source]¶
Return True if all values in the group are truthful, else False.
- Parameters:
skipna (bool, default True) – Flag to ignore nan values during truth testing.
- Returns:
DataFrame
or Series of boolean values, where a value is True if all elements are True within its respective group, False otherwise.- Return type:
Series or
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