Count Unique Values from Index Object in Python Pandas



To return a Series containing counts of unique values from Index object, use the index.value_counts() method in Pandas.

At first, import the required libraries -

import pandas as pd

Creating Pandas index −

index = pd.Index([50, 10, 70, 110, 90, 50, 110, 90, 30])

Display the Pandas index −

print("Pandas Index...\n",index)

Count of unique values −

print("\nGet the count of unique values...\n",index.value_counts())

Example

Following is the code −

Open Compiler
import pandas as pd # Creating Pandas index index = pd.Index([50, 10, 70, 110, 90, 50, 110, 90, 30]) # Display the Pandas index print("Pandas Index...\n",index) # Return the number of elements in the Index print("\nNumber of elements in the index...\n",index.size) # Return the dtype of the data print("\nThe dtype object...\n",index.dtype) # count of unique values print("\nGet the count of unique values...\n",index.value_counts())

Output

This will produce the following output −

Pandas Index...
Int64Index([50, 10, 70, 110, 90, 50, 110, 90, 30], dtype='int64')

Number of elements in the index...
9

The dtype object...
int64

Get the count of unique values...
50   2
110  2
90   2
10   1
70   1
30   1
dtype: int64
Updated on: 2021-10-13T08:51:00+05:30

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