xorbits.pandas.groupby.SeriesGroupBy.all#

SeriesGroupBy.all(**kw)#

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

Parameters: skipna (bool, default True (Not supported yet)) – 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

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

This docstring was copied from pandas.core.groupby.generic.SeriesGroupBy.