pyspark.pandas.Series.isin¶
-
Series.isin(values: Sequence[Any]) → IndexOpsLike¶ Check whether values are contained in Series or Index.
Return a boolean Series or Index showing whether each element in the Series matches an element in the passed sequence of values exactly.
- Parameters
- valuesset or list-like
The sequence of values to test.
- Returns
- isinSeries (bool dtype) or Index (bool dtype)
Examples
>>> s = ps.Series(['lama', 'cow', 'lama', 'beetle', 'lama', ... 'hippo'], name='animal') >>> s.isin(['cow', 'lama']) 0 True 1 True 2 True 3 False 4 True 5 False Name: animal, dtype: bool
Passing a single string as
s.isin('lama')will raise an error. Use a list of one element instead:>>> s.isin(['lama']) 0 True 1 False 2 True 3 False 4 True 5 False Name: animal, dtype: bool
>>> s.rename("a").to_frame().set_index("a").index.isin(['lama']) Index([True, False, True, False, True, False], dtype='object', name='a')