Form Union of Two Index Objects with Different Datatypes in Python Pandas

To form the Union of two Index objects with different datatypes, use the index1.union(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(['p','q', 'r', 's', 't','u'])

Display the Pandas index1 and index2 −

print("Pandas Index1...\n",index1)
print("Pandas Index2...\n",index2)

Perform union of mismatched datatypes −

res = index1.union(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(['p','q', 'r', 's', 't','u'])

# 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 union of mismatched datatypes
res = index1.union(index2)

# Union of both the indexes
print("\nThe index1 and index2 Union...\n",res)

Output

This will produce the following output −

Pandas Index1...
Int64Index([10, 20, 30, 40, 50], dtype='int64')
Pandas Index2...
Index(['p', 'q', 'r', 's', 't', 'u'], dtype='object')

Number of elements in index1...
5

Number of elements in index2...
6

The index1 and index2 Union...
Index([10, 20, 30, 40, 50, 'p', 'q', 'r', 's', 't', 'u'], dtype='object')