pandas: Working with Tables

DataFrames, filtering, computed columns, groupby and missing values. The library every dataset in the project track arrives in.

Learning Objectives

• →Build a DataFrame and check its shape and dtypes
• →Select columns and filter rows with a boolean condition
• →Add a computed column without looping over rows
• →Split, apply and combine with groupby
• →Find missing values with isna and decide how to handle them
• →Sort and take the top rows

Coding Problems (6)