Check Ordered Relationship in CategoricalIndex using Pandas

To check whether the categories have an ordered relationship, use the ordered property of the CategoricalIndex.

At first, import the required libraries −

import pandas as pd

Set the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter −

catIndex = pd.CategoricalIndex(["p", "q", "r", "s","p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"])

Display the Categorical Index −

print("Categorical Index...\n",catIndex)

Get the categories −

print("\nDisplayingCategories from CategoricalIndex...\n",catIndex.categories)

Check categories for ordered relationship −

print("\nDoes categories have ordered relationship...\n",catIndex.ordered)

Example

Following is the code −

import pandas as pd

# CategoricalIndex can only take on a limited, and usually fixed, number of possible values
# Set the categories for the categorical using the "categories" parameter
# Treat the categorical as ordered using the "ordered" parameter
catIndex = pd.CategoricalIndex(["p", "q", "r", "s","p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"])

# Display the Categorical Index
print("Categorical Index...\n",catIndex)

# Get the categories
print("\nDisplayingCategories from CategoricalIndex...\n",catIndex.categories)

# Check categories for ordered relationship
print("\nDoes categories have ordered relationship...\n",catIndex.ordered)

Output

This will produce the following output −

Categorical Index...
CategoricalIndex(['p', 'q', 'r', 's', 'p', 'q', 'r', 's'], categories=['p', 'q', 'r', 's'], ordered=True, dtype='category')

DisplayingCategories from CategoricalIndex...
Index(['p', 'q', 'r', 's'], dtype='object')

Does categories have ordered relationship...
True