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Age Neonates or newborns (birth to 1 month) Infants (1 month to 1 year) Children (1 year through 12 years) Adolescents (13 years through 17 years. They may also be referred to as teenagers depending on the context.) Adults (18 years or older) Older adults (65 and older)*

In conclusion, grouping or categorizing data based on certain criteria is a common task when working with data. In this article, we have discussed how to group/categorize ages column in Python Pandas. We used the pd. cut() function to create age groups, and assigned them to a new column in our dataframe.

A person between 20 and 29 is called a vicenarian. A person between 30 and 39 is called a tricenarian. A person between 40 and 49 is called a quadragenarian. A person between 50 and 59 is called a quinquagenarian.