Transforming Ordinal Attributes

Description

Ordinal attributes are categorical attributes with a sense of order among the values.

Shoe sizes, education levels, and employment roles are some examples of ordinal categorical attributes.

Example

In general, there is no generic module or function to map and transform these features into numeric representations based on order automatically.

Hence we can use a custom encoding/mapping scheme.

gen_ord_map = {'Gen 1': 1, 'Gen 2': 2, 'Gen 3': 3,
               'Gen 4': 4, 'Gen 5': 5, 'Gen 6': 6}

poke_df['GenerationLabel'] = poke_df['Generation'].map(gen_ord_map)