To remove the specified categories from CategoricalIndex, use the remove_categories() method in Pandas.At first, import the required libraries −import pandas as pdSet 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"], ... Read More

To add new categories, use the CategoricalIndex add_categories() method in Pandas. At first, import the required libraries −import pandas as pdSet 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, ... Read More

To eorder categories, use the CategoricalIndex reorder_categories() method in Pandas. At first, import the required libraries −import pandas as pdCategoricalIndex 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 ... Read More

To rename categories with Lambda, use the CategoricalIndex rename_categories() method in Pandas.At first, import the required libraries −import pandas as pdCategoricalIndex 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 ... Read More

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 pdCategoricalIndex 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", ... Read More

To rename categories, use the CategoricalIndex rename_categories() method in Pandas. At first, import the required libraries −import pandas as pdCategoricalIndex 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 ... Read More

To check whether the categories have an ordered relationship, use the ordered property of the CategoricalIndex.At first, import the required libraries −import pandas as pdSet 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", ... Read More

To get the categories of this categorical, use the categories property of the CategoricalIndex in Pandas. At first, import the required libraries −import pandas as pdCategoricalIndex can only take on a limited, and usually fixed, number of possible values (categories. Set the categories for the categorical using the "categories" parameter. ... Read More

To get the category codes of this categorical, use the codes property of the CategoricalIndex in Pandas. At first, import the required libraries −import pandas as pdCategoricalIndex can only take on a limited, and usually fixed, number of possible values (categories). Set the categories for the categorical using the "categories" ... Read More

To get the maximum value from Ordered CategoricalIndex, use the catIndex.max() method in Pandas.At first, import the required libraries −import pandas as pdSet 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", ... Read More