This is the code repository for Matplotlib for Python Developers [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
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.
- Use Matplotlib for data visualization with the Python programming language
- Construct different types of plot such as lines and scatters, bar plots, and histograms
- Make use of various aspects of data visualization with Matplotlib
- Work on transformation and back-ends, and change fonts and colors
- Use Pandas and Jupyter to manipulate your tabular data
To fully benefit from the coverage included in this course, you will need:
A basic knowledge of Python is needed.
This course has the following software requirements:
Operating System - Windows, macOS, Linux
Ram - 4gb
Hardisk - 256gb
