pandas.Series.isin#

Series.isin(values)[source] #

Whether elements in Series are contained in values.

Return a boolean Series 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. Passing in a single string will raise a TypeError. Instead, turn a single string into a list of one element.

Returns:

Series

Series of booleans indicating if each element is in values.

Raises:

TypeError

• If values is a string

See also

DataFrame.isin

Equivalent method on DataFrame.

Examples

>>> s = pd.Series(['llama', 'cow', 'llama', 'beetle', 'llama',
...  'hippo'], name='animal')
>>> s.isin(['cow', 'llama'])
0 True
1 True
2 True
3 False
4 True
5 False
Name: animal, dtype: bool

To invert the boolean values, use the ~ operator:

>>> ~s.isin(['cow', 'llama'])
0 False
1 False
2 False
3 True
4 False
5 True
Name: animal, dtype: bool

Passing a single string as s.isin('llama') will raise an error. Use a list of one element instead:

>>> s.isin(['llama'])
0 True
1 False
2 True
3 False
4 True
5 False
Name: animal, dtype: bool

Strings and integers are distinct and are therefore not comparable:

>>> pd.Series([1]).isin(['1'])
0 False
dtype: bool
>>> pd.Series([1.1]).isin(['1.1'])
0 False
dtype: bool