Matplotlib -A 7hr Comprehensive Course on Data Visualization

Matplotlib is one of the most popular Python packages used for data visualization. It is a cross–platform library for making 2D plots from data in arrays. It provides an object–oriented API that helps in embedding plots in applications using Python GUI toolkits such as PyQt, WxPythonotTkinter. It can be used in Python and IPython shells, Jupyter notebook and web application servers also.

Matplotlib is a low level graph plotting library in python that serves as a visualization utility.

Matplotlib was created by John D. Hunter.

Matplotlib is open source and we can use it freely.

Matplotlib is mostly written in python, a few segments are written in C, Objective–C and Javascript for Platform compatibility.

Audience

This Course is designed for those learners who wish to acquire knowledge on the details of data visualization.

Prerequisites

Matplotlib is written in Python and makes use of NumPy, the numerical mathematics extension of Python. We assume that the readers of this tutorial have basic knowledge of Python.

The source code for Matplotlib is located at this github repository

This Matplotlib lecture takes you through the basics Python data visualization: the anatomy of a plot, pyplot and pylab, and much more

Humans are very visual creatures: we understand things better when we see things visualized. However, the step to presenting analyses, results or insights can be a bottleneck: you might not even know where to start or you might have already a right format in mind, but then questions like “Is this the right way to visualize the insights that I want to bring to my audience?” will have definitely come across your mind.