pandas.Series.isin — pandas 2.2.3 documentation (original) (raw)

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

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