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Python Pandas - Form the intersection of two Index objects
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')
Updated on: 14-Oct-2021
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