andreluiscostac / intro-to-data-visualizations-with-matplotlib

Introduction to visualizing data with the Matplotlib Python library

Introduction to Data Visualization with Python

In this Houston Data Science meetup we will cover the Matplotlib Python visualization library. It has a number of quirks that make it more difficult to learn that other libraries in the data science stack.

Install Python 3 on your own BEFORE coming to class

Follow the tutorial in the Intro to Python repository in order to install the Anaconda distribution with Python 3.

Agenda

• Understanding the Figure/Axes hierarchy of Matplotlib
• Matplotlib's dual interface - Choosing the object-oriented vs the stateful interface
• Setting up the Figure and all the Axes to work with the object-oriented approach
• Using the plot method and understanding how to change the default attributes
• An overview of the most popular other plotting methods
• Drilling into the plot objects and examining their methods and attributes
• Animating an NBA Game
• Other visualization libraries such as Seaborn, Bokeh, and Plotly

Jupyter Notebook

All work for this tutorial will take place within a Jupyter Notebook