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Python | Pandas Series.isin()
  • Last Updated : 12 Feb, 2019

Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.

Pandas Series.isin() function check whether values are contained in Series. It return a boolean Series showing whether each element in the Series matches an element in the passed sequence of values exactly.

Syntax: Series.isin(values)

Parameter :
values : The sequence of values to test.

Returns : isin : Series (bool dtype)



Example #1: Use Series.isin() function to check if the passed values in the list are contained in the series object.




# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series([10, 25, 3, 25, 24, 6])
  
# Create the Index
index_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp']
  
# set the index
sr.index = index_
  
# Print the series
print(sr)


Output :

Now we will use Series.isin() function to check whether the passed values are contained in the series object.




# check if 25 is present
# in the series
result = sr.isin([25])
  
# Print the result
print(result)


Output :

As we can see in the output, the Series.isin() function has returned an object containing boolean values. All values have been mapped to True if it is present in the list else Falsee.
 
Example #2 : Use Series.isin() function to check if the passed values in the list are contained in the series object.




# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series([11, 21, 8, 18, 65, 84, 32, 10, 5, 24, 32])
  
# Create the Index
index_ = pd.date_range('2010-10-09', periods = 11, freq ='M')
  
# set the index
sr.index = index_
  
# Print the series
print(sr)


Output :

Now we will use Series.isin() function to check whether the passed values are contained in the series object.




# check if 21 and 10 is present
# in the series
result = sr.isin([21, 10])
  
# Print the result
print(result)


Output :


As we can see in the output, the Series.isin() function has returned an object containing boolean values. All values have been mapped to True if it is present in the list else Falsee.

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