Matplotlib is the “grandfather” library of data visualization with Python. It was created by John Hunter. He created it to try to replicate MatLab’s (another programming language) plotting capabilities in Python. So if you happen to be familiar with matlab, matplotlib will feel natural to you.
It is an excellent 2D and 3D graphics library for generating scientific figures.
Some of the major Pros of Matplotlib are:
- Generally easy to get started for simple plots
- Support for custom labels and texts
- Great control of every element in a figure
- High-quality output in many formats
- Very customizable in general
Matplotlib allows you to create reproducible figures programmatically. Let’s learn how to use it! I encourage you just to explore the official Matplotlib web page: http://matplotlib.org/
Installation of Matplotlib:
To install the latest release of matplotlib, you can use pip:
pip install matplotlib
You can also use conda to install the latest version of matplotlib:
conda install matplotlib
Now from next lecture we will learn how to plot different kind of charts and plot with the help of matplotlib.