bigframes.pandas.api.typing.DataFrameGroupBy.all

DataFrameGroupBy.all() → DataFrame

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

Examples:

For SeriesGroupBy:

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

For DataFrameGroupBy:

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

[2 rows x 2 columns]

Returns:

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

Return type:

bigframes.pandas.DataFrame or bigframes.pandas.Series