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Get the items which are not common of two Pandas series

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  • Last Updated : 01 Aug, 2020
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Pandas does not support specific methods to perform set operations. However, we can use the following formula to get unique items from both the sets :

  A \cup  B - (A \cap B)

Algorithm :

  1. Import the Pandas and NumPy modules.
  2. Create 2 Pandas Series.
  3. Find the union of the series using the union1d() method.
  4. Find the intersection of the series using the intersect1d() method.
  5. Find the difference between the union and the intersection elements. Use the isin() method to get the boolean list of items present in both ‘union’ and ‘intersect’.
  6. Print the result




# import the modules
import pandas as pd 
import numpy as np
  
# create the series 
ser1 = pd.Series([1, 2, 3, 4, 5])
ser2 = pd.Series([3, 4, 5, 6, 7])
  
# union of the series
union = pd.Series(np.union1d(ser1, ser2))
  
# intersection of the series
intersect = pd.Series(np.intersect1d(ser1, ser2))
  
# uncommon elements in both the series 
notcommonseries = union[~union.isin(intersect)]
  
# displaying the result
print(notcommonseries)

Output :

1, 2, 6, 7
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