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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
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