To form the intersection of two Index objects, use the index1.intersection(index2) method in Pandas. At first, import the required libraries −
import pandas as pd
Creating two Pandas index −
index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([80, 65, 60, 70, 55])
Display the Pandas index1 and index2 −
print("Pandas Index1...\n",index1) print("Pandas Index2...\n",index2)
Perform intersection −
res = index1.intersection(index2)
Example
Following is the code −
import pandas as pd # Creating two Pandas index index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([80, 65, 60, 70, 55]) # Display the Pandas index1 and index2 print("Pandas Index1...\n",index1) print("Pandas Index2...\n",index2) # Return the number of elements in Index1 and Index2 print("\nNumber of elements in index1...\n",index1.size) print("\nNumber of elements in index2...\n",index2.size) # Perform intersection res = index1.intersection(index2) # Intersection of both the indexes print("\nThe index1 and index2 intersection...\n",res)
Output
This will produce the following output −
Pandas Index1... Int64Index([10, 20, 30, 40, 50], dtype='int64') Pandas Index2... Int64Index([80, 65, 60, 70, 55], dtype='int64') Number of elements in index1... 5 Number of elements in index2... 5 The index1 and index2 intersection... Int64Index([], dtype='int64')