Python Pandas - Return a Series containing counts of unique values from Index object

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 −

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