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Python Pandas CategoricalIndex - Rename categories with dict-like new categories
To rename categories with dict-like new categories, use the CategoricalIndex rename_categories() method in Pandas.
At first, import the required libraries −
import pandas as pd
CategoricalIndex can only take on a limited, and usually fixed, number of possible values. 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 CategoricalIndex −
print("CategoricalIndex...\n",catIndex)Rename categories. Set the new dict-like categories that will replace the old categories
print("\nCategoricalIndex after renaming categories...\n",catIndex.rename_categories({'p': 5, 'q': 10, 'r': 15, 's': 20}))
Example
Following is the code −
import pandas as pd
# CategoricalIndex can only take on a limited, and usually fixed, number of possible values
# 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 CategoricalIndex
print("CategoricalIndex...\n",catIndex)
# Get the categories
print("\nDisplaying Categories from CategoricalIndex...\n",catIndex.categories)
# Rename categories
# Set the new dict-like categories that will replace the old categories
print("\nCategoricalIndex after renaming categories...\n",
catIndex.rename_categories({'p': 5, 'q': 10, 'r': 15, 's': 20}))Output
This will produce the following output −
CategoricalIndex... CategoricalIndex(['p', 'q', 'r', 's', 'p', 'q', 'r', 's'], categories=['p', 'q', 'r', 's'], ordered=True, dtype='category') Displaying Categories from CategoricalIndex... Index(['p', 'q', 'r', 's'], dtype='object') CategoricalIndex after renaming categories... CategoricalIndex([5, 10, 15, 20, 5, 10, 15, 20], categories=[5, 10, 15, 20], ordered=True, dtype='category')
Updated on: 18-Oct-2021
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