pandas.core.groupby.SeriesGroupBy.all#

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