Python | Pandas Index.union ()

Michael Zippo

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Index.union() Pandas Index.union() joins two Index objects and sorts them , if possible. The following function behaves like a standard set union operation. The function can also find a union of categorical data.

Syntax: Index.union (other)

Parameters:
other: Index or array-like

Returns: union: Index

Example # 1: Use Index.union () to find the union of two indexes.

# import pandas as pd

import pandas as pd

# Create first index

idx1 = pd.Index ([ 10 , 20 , 18 , 32 ])

# Create second index

idx2 = pd.Index ([ 21 , 10 , 30 , 40 , 50 ])

# Print first index

print (idx1)

# Print the second index

print ( "" , idx2)

Exit :

Let’s find the union of these two indices

# merge the two indices
idx1.union (idx2)

Output:

The function found the concatenation of these two indices.

Example # 2: Use Index.union () to perform a set join operation on the data of two indexes. Index marks are of string type.

# import pandas as pd

import pandas as pd

# Create first index

idx1 = pd .Index ([ ’Harry’ , ’ Mike’ , ’Arther’ , ’Nick’ ],

name = ’Student’ )

# Create second index

idx2 = pd.Index ([ ’Alice’ , ’ Bob’ , ’Rachel’ , ’ Tyler’ , ’Louis’ ],

name = ’Winners’ )

# Print first index

print (idx1)

# Print second index

print ( " " , idx2)

Output:

Let’s find the union of these two indexes.

# find the union of two indices
idx1.union (idx2)

Output:

The function returned a new index that contains the result of the union of the idx1 and idx2 sets.

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Berlin | 2023-03-24

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Singapore | 2023-03-24

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New York | 2023-03-24

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