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.equals() 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.
Syntax: Index.equals(other)
Parameters :
Other : indexReturns : boolean value
Example #1: Use Index.equals() function to check if two Indexes contain same elements
# 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) |
Output :
Let’s check if the two Indexes are equal or not.
# Checking the equality of the two Indexes idx1.equals(idx2) |
Output :
As we can see in the output, the Index.equals() function has returned False indicating that the Indexes are not equal.
Example #2: Use Index.equals() function to check the equality of two Indexes.
# 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) |
Output :
Let’s check if the two Indices are equal to each other or not.
# test the equality idx1.equals(idx2) |
Output :
The function has returned True indicating that both the Indexes are equal to each other.
