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Python Pandas - Remove the specified categories from CategoricalIndex
To remove the specified categories from CategoricalIndex, use the remove_categories() method in Pandas.
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"])
Remove categories using remove_categories(). Set the categories to be removed as a parameter. Values which were in the removed categories will be set to NaN −
print("\nCategoricalIndex after removing specified categories...\n",
catIndex.remove_categories(["p", "q"]))Example
Following is the code −
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 CategoricalIndex
print("CategoricalIndex...\n",catIndex)
# Get the categories
print("\nDisplaying Categories from CategoricalIndex...\n",catIndex.categories)
# Remove categories using remove_categories()
# Set the categories to be removed as a parameter
# Values which were in the removed categories will be set to NaN
print("\nCategoricalIndex after removing specified categories...\n",
catIndex.remove_categories(["p", "q"]))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 removing specified categories... CategoricalIndex([nan, nan, 'r', 's', nan, nan, 'r', 's'], categories=['r', 's'], ordered=True, dtype='category')
Updated on: 18-Oct-2021
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