Introduction:

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Matplotlib is a widely-used plotting library for Python that allows users to create a variety of static, animated, and interactive visualizations in a simple and effective way. It is highly customizable and provides a range of options for creating high-quality graphs and plots.

Installation:

1. pip: pip install matplotlib
2. conda: conda install -c conda-forge matplotlib

Key Features

1. What is Matplotlib and What is Matplotlib Figure?
2. Advantages of Matplotlib
3. Different types of plots in Matplotlib with their use cases and examples
4. Line Plot
5. Scatter Plot
6. Bar Plot
7. Horizontal Bar Plot
8. Histogram
9. Box Plot
10. Pie Chart
11. Heatmap
12. Violin Plot
13. 3D Plot

Reference:

1. Books:

Scientific Visualization: Python + Matplotlib (2021) by Nicolas P. Rougier

Mastering matplotlib by Duncan M. McGreggor

Interactive Applications Using Matplotlib by Benjamin Root

2. Videos:

Plotting with matplotlib by Mike Müller

Introduction to NumPy and Matplotlib by Eric Jones

Matplotlib Introduction by codebasics

3. Tutorial:

Matplotlib tutorial by Nicolas P. Rougier

Anatomy of Matplotlib - IPython Notebooks by Benjamin Root

Beyond the Basics: Data Visualization in Python by Stefanie Molin

Thank You ☺