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Showing content from https://pandas.pydata.org/docs/dev/user_guide/../reference/api/pandas.Series.isin.html below:

pandas.Series.isin — pandas 3.0.0.dev0+2231.g4f2aa4d2be documentation

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

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