2016
O'Reilly Media / Infinite Skills
Christopher Roach
4:00
English
With Early Release video training, you get videos as they're being developed so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters as they're edited, and the final video.
In this Matplotlib for Developers training course, expert author Christopher Roach will teach you everything you need to know about data visualization and analysis with Python. This course is designed for users that already have a basic understanding of Python.
You will start by learning about pyplot, including learning about the plot function, custom plotting, subplots, and complex subplots. From there, Christopher will teach you about the matplotlib architecture, how to configure matplotlib, and about interactivity. Finally, this video tutorial covers maps in matplotlib and the matplotlib ecosystem.
Once you have completed this computer based training course, you will have learned everything you need to know about data visualization and analysis with Python. Working files are included, allowing you to follow along with the author throughout the lessons
01. Introduction
What Is Matplotlib 03m 09s
About The Course 02m 53s
About The Author 48s
How To Access Your Working Files
02. First Steps
Getting The Code 04m 22s
Installing Matplotlib 18m 32s
Quick Exploratory Data Analysis Example 18m 46s
Using Matplotlib With Jupyter 07m 16s
The Interfaces Of Matplotlib: Pylab, pyplot And OO API 10m 03s
03. pyplot
Introduction To pyplot 09m 33s
The Plot Function 10m 08s
More Plotting 12m 20s
Custom Plotting - Parallel Coordinates 07m 19s
Subplots 06m 41s
Adjusting Subplot Parameters 02m 26s
Custom Plotting - Scatterplot Matrix 05m 17s
Complex Subplots 05m 03s
04. Under The Hood
The Matplotlib Architecture
Anatomy Of A Graphic
How pyplot Works
Troubleshooting pyplot Issues
05. Configuring Matplotlib
Configuration: rcParams And matplotlibrc
Style Sheets
Custom Style Sheets
06. Interactivity
Event Handling
Creating An Interface With ipywidgets
Refining An ipywidgets Interface
07. Maps In Matplotlib
What Is A Map Projection?
Basemap
Creating A Choropleth With Matplotlib
Creating A Dot Density Map
08. The Matplotlib Ecosystem
Seaborn
Pandas
The Web
09. Conclusion
Conclusion
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