Divide numerical data into categories
Sometimes we need to categories numerical values into different categories. For example, the population of town might be needed to be categorized into different income groups. Or, the marks of students might be needed to be categorized into different grade levels. Pandas’ cut() method can be used to categorize the numerical values very easily.