
- Python Basic Tutorial
- Python - Home
- Python - Overview
- Python - Environment Setup
- Python - Basic Syntax
- Python - Comments
- Python - Variables
- Python - Data Types
- Python - Operators
- Python - Decision Making
- Python - Loops
- Python - Numbers
- Python - Strings
- Python - Lists
- Python - Tuples
- Python - Dictionary
- Python - Date & Time
- Python - Functions
- Python - Modules
- Python - Files I/O
- Python - Exceptions
Python Pandas - Create an Index based on an underlying Categorical
To create an Index based on an underlying Categorical, use the pandas.CategoricalIndex() method.
At first, import the required libraries −
import pandas as pd
CategoricalIndex is the Index based on an underlying Categorical. 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)
Example
Following is the code −
import pandas as pd # CategoricalIndex is the Index based on an underlying Categorical # 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) # Get the min value print("\nMinimum value from CategoricalIndex...\n",catIndex.min()) # Get the max value print("\nMaximum value from CategoricalIndex...\n",catIndex.max())
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') Minimum value from CategoricalIndex... p Maximum value from CategoricalIndex... S
- Related Articles
- Python Pandas - Create an Index with values cast to dtypes
- Python - Check if the Pandas Index holds categorical data
- How to create Python objects based on an XML file?
- Python Pandas - Return the number of bytes in the underlying Index data
- Python Pandas - Return the Number of elements in the underlying Index data
- Python Pandas - Create an IntervalIndex
- Python Pandas - Repeat elements of an Index
- Swift Program to fetch elements from an array based on an index
- Golang program to fetch elements from an array based on an index
- How to subset an R data frame based on numerical and categorical column?
- Python Pandas - Set index name for an already created Index object
- Create an object based on 2 others in JavaScript
- How to find the sum based on a categorical variable in an R data frame?
- How to create two lines using ggplot2 based on a categorical column in R?
- Python Pandas - Create a subset by choosing specific values from columns based on indexes

Advertisements