Pandas Series: isin() function
Find values contained in Pandas series
The isin() function is used to 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.
Syntax:
Series.isin(self, values)
Parameters:
Name | Description | Type/Default Value | Required / Optional |
---|---|---|---|
values | 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. |
set or list-like | Required |
Returns: Series
Series of booleans indicating if each element is in values.
Raises: TypeError
If values is a string
Example:
Python-Pandas Code:
import numpy as np
import pandas as pd
s = pd.Series(['dog', 'cow', 'dog', 'cat', 'dog',
'lion'], name='animal')
s.isin(['cow', 'dog'])
Output:
0 True 1 True 2 True 3 False 4 True 5 False Name: animal, dtype: bool
Example - Passing a single string as s.isin('dog') will raise an error. Use a list of one element instead:
Python-Pandas Code:
import numpy as np
import pandas as pd
s = pd.Series(['dog', 'cow', 'dog', 'cat', 'dog',
'lion'], name='animal')
s.isin(['dog'])
Output:
0 True 1 False 2 True 3 False 4 True 5 False Name: animal, dtype: bool
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