To set the categories of the CategoricalIndex to be ordered, use the as_ordered() method in Pandas.
At first, import the required libraries −
import pandas as pd
Set the categories for the categorical using the "categories" parameter −
catIndex = pd.CategoricalIndex(["p", "q", "r", "s","p", "q", "r", "s"], categories=["p", "q", "r", "s"])
Get the categories −
print("\nDisplaying Categories from CategoricalIndex...\n",catIndex.categories)
Set the categories to be ordered −
print("\nCategoricalIndex ordered...\n", catIndex.as_ordered())
Example
Following is the code −
import pandas as pd # Set the categories for the categorical using the "categories" parameter catIndex = pd.CategoricalIndex(["p", "q", "r", "s","p", "q", "r", "s"], categories=["p", "q", "r", "s"]) # Display the CategoricalIndex print("CategoricalIndex...\n",catIndex) # Get the categories print("\nDisplaying Categories from CategoricalIndex...\n",catIndex.categories) # Set the categories to be ordered print("\nCategoricalIndex ordered...\n", catIndex.as_ordered())
Output
This will produce the following output −
CategoricalIndex... CategoricalIndex(['p', 'q', 'r', 's', 'p', 'q', 'r', 's'], categories=['p', 'q', 'r', 's'], ordered=False, dtype='category') Displaying Categories from CategoricalIndex... Index(['p', 'q', 'r', 's'], dtype='object') CategoricalIndex ordered... CategoricalIndex(['p', 'q', 'r', 's', 'p', 'q', 'r', 's'], categories=['p', 'q', 'r', 's'], ordered=True, dtype='category')