pandas.core.groupby.DataFrameGroupBy.any#
- DataFrameGroupBy.any(skipna=True)[source]#
Return True if any value in the group is 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 any element is 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).any() a True b False dtype: bool
For DataFrameGroupBy:
>>> data = [[1, 0, 3], [1, 0, 6], [7, 1, 9]] >>> df = pd.DataFrame(data, columns=["a", "b", "c"], ... index=["ostrich", "penguin", "parrot"]) >>> df a b c ostrich 1 0 3 penguin 1 0 6 parrot 7 1 9 >>> df.groupby(by=["a"]).any() b c a 1 False True 7 True True