3. Matplotlib

Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.

Pyplot is a Matplotlib module which provides a MATLAB-like interface. Matplotlib is designed to be as usable as MATLAB, with the ability to use Python and the advantage of being free and open-source.

1. Installing an official release

Matplotlib and its dependencies are available as wheel packages for macOS, Windows and Linux distributions:

python -m pip install -U pip
python -m pip install -U matplotlib

2. Elements of Figure

Matplotlib graphs your data on Figures (i.e., windows), each of which can contain one or more Axes (i.e., an area where points can be specified in terms of x-y coordinates (or theta-r in a polar plot, or x-y-z in a 3D plot, etc.). The most simple way of creating a figure with axes is using pyplot.subplots.

let's have a deeper look at the components of a Matplotlib figure.

Anatomy of a figure

3. Check and Quickstart

import matplotlib.pyplot as plt   # import the data exploration package
import numpy as np                # import the data computing package

4. Content

• 3.1 Basic Concepts

• 3.2 Line Chart

• 3.3 Area Chart

• 3.4 Column Chart

• 3.5 Histogram Chart

• 3.6 Scatter Chart

• 3.7 Lollipop Chart

• 3.8 Pie Chart

• 3.9 Venn Chart

• 3.10 Waffle Chart

• 3.11 Animation