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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

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
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