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.get_duplicates() function extract duplicated index elements. This function returns a sorted list of index elements which appear more than once in the Index.

Syntax: Index.get_duplicates() Returns : List of duplicated indexes.

Example #1: Use Index.get_duplicates() function to find all the duplicate values in the Index.

# importing pandas as pd
import pandas as pd

# Creating the Index
idx = pd.Index(['Labrador', 'Beagle', 'Labrador',
                    'Lhasa', 'Husky', 'Beagle'])

# Print the Index
idx

Output : let's find out all the duplicate values in the Index.

# print the duplicated values.
idx.get_duplicates()

Output : As we can see in the output, the Index.get_duplicates() function has returned all the values which are having more than one occurrence in the Index.   Example #2: Use Index.get_duplicates() function to find all the duplicate in the Index. The Index also contains NaN values.

# importing pandas as pd
import pandas as pd

# Creating the Index
idx = pd.Index(['Labrador', 'Beagle', None, 'Labrador',
             'Lhasa', 'Husky', 'Beagle', None, 'Koala'])

# Print the Index
idx

Output : As we can see in the output we are having some missing values. Lets see how the Index.get_duplicates() function treats them.

# print the duplicate values in Index
idx.get_duplicates()

Output : The occurrence of missing values more than once has been treated as duplicates.