8 Ways to Transform Pandas Dataframes

8 Ways to Transform Pandas Dataframes

In this tutorial, we will go over 8 different ways of transforming Pandas Dataframes: Add / drop columns; Add / drop rows; Insert; Melt; Concat; Merge; Get dummies; Pivot table. Pandas is a data analysis and manipulation library for Python. The core data structure of Pandas is dataframe which stores data in tabular form with labelled rows and columns.

Pandas is a data analysis and manipulation library for Python. The core data structure of Pandas is dataframe which stores data in tabular form with labelled rows and columns.

Pandas provides a variety of functions to modify or manipulate its core structure. In this article, we will go over 8 different ways of transforming dataframes.

  • Add / drop columns
  • Add / drop rows
  • Insert
  • Melt
  • Concat
  • Merge
  • Get dummies
  • Pivot table

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