Python - Check if the Pandas Index holds categorical data


To check if the Pandas Index holds categorical data, use the index.is_categorical() method in Pandas. At first, import the required libraries -

import pandas as pd

Creating Pandas index with type set as category using the astype() method −

index = pd.Index(["Electronics","Accessories","Furniture"]).astype("category")

Display the Pandas index −

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

Check whether index holds categorical data −

print("\nDoes Index holds categorical data?\n",index.is_categorical())

Example

Following is the code −

import pandas as pd

# Creating Pandas index
index = pd.Index(["Electronics","Accessories","Furniture"]).astype("category")

# 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...\n",index.dtype)

# check whether index holds categorical data
print("\nDoes Index holds categorical data?\n",index.is_categorical())

Output

This will produce the following output −

Pandas Index...
CategoricalIndex(['Electronics', 'Accessories', 'Furniture'], categories=['Accessories', 'Electronics', 'Furniture'], ordered=False, dtype='category')

Number of elements in the index...
3

The dtype...
category

Does Index holds categorical data?
True

Updated on: 13-Oct-2021

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