Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas Index.union() function form the union of two Index objects and sorts if possible. The function follows behaves like a standard set union operation. The function can also find the union of categorical data.
Syntax: Index.union(other)
Parameters :
other : Index or array-like
Returns : union : Index
Example #1: Use Index.union() function to find the union of two indexes.
Python3
# importing pandas as pdimport pandas as pd# Creating the first indexidx1 = pd.Index([10, 20, 18, 32])# Creating the second indexidx2 = pd.Index([21, 10, 30, 40, 50])# Print the first Indexprint(idx1)# Print the second Indexprint("\n", idx2) |
Output :
Let’s find the union of these two indexes
Python3
# perform set union of the two indexesidx1.union(idx2) |
Output :
The function has found the union of these two indexes.
Example #2: Use Index.union() function to perform set union operation on the given two indexes. Index labels are of string type.
Python3
# importing pandas as pdimport pandas as pd# Creating the first indexidx1 = pd.Index(['Harry', 'Mike', 'Arther', 'Nick'], name ='Student')# Creating the second indexidx2 = pd.Index(['Alice', 'Bob', 'Rachel', 'Tyler', 'Louis'], name ='Winners')# Print the first Indexprint(idx1)# Print the second Indexprint("\n", idx2) |
Output :
Let’s find the union of these two indexes.
Python3
# find union of two indexesidx1.union(idx2) |
Output :
The function has returned a new index that contains the result of the set union of the idx1 and idx2.
