Book Image

Matplotlib for Python Developers [Video]

By : Benjamin Walter Keller
Book Image

Matplotlib for Python Developers [Video]

By: Benjamin Walter Keller

Overview of this book

Matplotlib is a multi-platform data visualization tool built upon the Numpy and Scipy framework. One of matplotlib's most important features is its ability to play well with many operating systems and graphics backends. In this course, we hit the ground running and quickly learn how to make beautiful, illuminating figures with Matplotlib and a handful of other Python tools. We understand data dimensionality and set up an environment by beginning with basic plots. We enter into the exciting world of data visualization and plotting. You'll work with line and scatter plots and construct bar plots and histograms. You'll also explore images, contours, and histograms in depth. Plot scaffolding is a very interesting topic wherein you'll be taken through axes and figures to help you design excellent plots. You'll learn how to control axes and ticks, and change fonts and colors. You'll work on backends and transformations. Then lastly you'll explore the most important companions for Matplotlib, Pandas and Jupyter, used widely for data manipulation, analysis, and visualization. By the end of this course you'll be able to construct effective and beautiful data plots using the Matplotlib library for the Python programming language.
Table of Contents (4 chapters)
Chapter 3
Axes and Figures – Plot Scaffolding
Content Locked
Section 4
Controlling Axes and Ticks
In this video, we will see how matplotlib constructs the x and y axis andhow does it decide where the ticks go. - Learn the difference between axis and axes - Learn how to place major and minor ticks manually - Learn how to use ticker locators to automatically position your ticks