Function Chaining with pipe()

Introduction

The pipe() method in pandas is a highly useful method for working with data transformations. At its core, pipe() is used for function chaining, which is connecting two or more functions in a sequence so that the output of one function serves as the input of the next.

It provides a way to streamline data transformations and manipulations by enabling users to chain function calls together in a readable, reusable, and efficient manner. It also helps to eliminate the cognitive burden of naming variables at each intermediate step of the transformation process.

We’ll work with a mock retail transactions dataset in this lesson, as shown below: