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modin.pandas.SeriesGroupBy.all¶

SeriesGroupBy.all(skipna: bool = True)[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.19.0/src/snowflake/snowpark/modin/pandas/groupby.py#L744-L750)¶

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