To get the maximum value from Ordered CategoricalIndex, use the catIndex.max() 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"] )
Display the Categorical Index −
print("Categorical Index...\n",catIndex)Get the max value −
print("\nMaximum value from CategoricalIndex...\n",catIndex.max())Example
Following is the code −
import pandas as pd
# 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("\nDisplaying Categories from CategoricalIndex...\n",catIndex.categories)
# 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') Displaying Categories from CategoricalIndex... Index(['p', 'q', 'r', 's'], dtype='object') Maximum value from CategoricalIndex... S