Get the items which are not common of two Pandas series
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 :
Algorithm :
- Import the
PandasandNumPymodules. - Create 2
Pandas Series. - Find the union of the series using the
union1d()method. - Find the intersection of the series using the
intersect1d()method. - 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’. - Print the result
# import the modulesimport 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 seriesunion = pd.Series(np.union1d(ser1, ser2)) # intersection of the seriesintersect = pd.Series(np.intersect1d(ser1, ser2)) # uncommon elements in both the series notcommonseries = union[~union.isin(intersect)] # displaying the resultprint(notcommonseries) |
Output :
1, 2, 6, 7
Last Updated on October 23, 2021 by admin