Python | Pandas Index.identical()
Last Updated :
17 Dec, 2018
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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
Python3
Output :
Let's check if the two Indexes are identical or not.
Python3
Output :
As we can see in the output, the
Python3
Output :
Let's check if the two Indices are identical to each other or not.
Python3
Output :
The function has returned
Index.identical()
function determine if two Index objects contains the same elements. If they contain the same elements then the function returns True
else the function returns False
indicating the values contained in both the Indexes are different. This is similar to the Index.equals()
, but check that other comparable attributes are also equal.
Syntax: Index.identical(other) Parameters : Other : index Returns : boolean valueExample #1: Use
Index.identical()
function to check if two Indexes contain same elements and if other attributes are identical or not.
# importing pandas as pd
import pandas as pd
# Creating the first Index
idx1 = pd.Index(['Labrador', 'Beagle', 'Labrador', 'Lhasa', 'Husky', 'Beagle'])
# Creating the second Index
idx2 = pd.Index(['Labrador', 'Beagle', 'Pug', 'Lhasa', 'Husky', 'Pitbull'])
# Print the first and second Index
print(idx1, '\n', idx2)


# Checking the equality of the two Indexes
idx1.identical(idx2)

Index.identical()
function has returned False
indicating that the Indexes are not equal.
Example #2: Use Index.identical()
function to check if the input indexes are identical to each other or not.
# importing pandas as pd
import pandas as pd
# Creating the first Index
idx1 = pd.Index(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])
# Creating the second Index
idx2 = pd.Index(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])
# Print the first and second Index
print(idx1, '\n', idx2)


# test the equality
idx1.identical(idx2)

True
indicating that both the Indexes are identical to each other.