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Advanced pandas—Going Beyond the Basics

Option Settings

Explore how to customize pandas global options to tailor DataFrame display and computation settings. Learn to use functions like set_option, get_option, reset_option, and option_context to control output, optimize performance, and manage temporary settings safely within your code.

We'll cover the following...

Introduction

We’ll take a deeper look at the advanced pandas functionalities, specifically option settings, which are sometimes overlooked. By adjusting these options, we can customize the way pandas operates to suit our specific needs.

The pandas library provides an API to customize global aspects of the behavior of DataFrames, and most of these options fall into the following three categories:

  • Display: Adjusting these settings lets us control how data structures are visually represented. For example, we can limit the number of rows displayed in the console, change the precision of floating-point numbers, or control whether some columns are truncated to the console.

  • Computation: Some options control the behavior of pandas in terms of ...