pandas.Series.isin¶
-
Series.
isin
(values)[source]¶ Check whether values are contained in Series.
Return a boolean Series showing whether each element in the Series matches an element in the passed sequence of values exactly.
Parameters: values : set or list-like
The sequence of values to test. Passing in a single string will raise a
TypeError
. Instead, turn a single string into a list of one element.New in version 0.18.1: Support for values as a set.
Returns: - isin : Series (bool dtype)
Raises: TypeError
- If values is a string
See also
pandas.DataFrame.isin
- equivalent method on DataFrame
Examples
>>> s = pd.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