Python Plotting With Matplotlib

Austin Cepalia14 Lessons 1h 14mbasics data-science data-viz

A picture is worth a thousand words, and with Python’smatplotlib library, it fortunately takes far less than a thousand words of code to create a production-quality graphic.

However,matplotlib is also a massive library, and getting a plot to look just right is often achieved through trial and error. Using one-liners to generate basic plots inmatplotlib is relatively simple, but skillfully commanding the remaining 98% of the library can be daunting.

In thisbeginner-friendly course, you’ll learn about plotting in Python withmatplotlib by looking at the theory and following along with practical examples. While learning by example can be tremendously insightful, it helps to have even just a surface-level understanding of the library’s inner workings and layout as well.

By the end of this course, you’ll:

Know the differences between PyLab and Pyplot
Grasp the key concepts in the design ofmatplotlib
Understandplt.subplots()
Visualize arrays withmatplotlib
Plot by combiningpandas andmatplotlib

This course assumes you know a tiny bit of NumPy. You’ll mainly use thenumpy.random module to generate “toy” data, drawing samples from different statistical distributions. If you don’t already havematplotlib installed, see thedocumentation for a walkthrough before proceeding.

What’s Included:

14 Lessons
Video Subtitles and Full Transcripts
Accompanying Text-Based Tutorial
Q&A With Python Experts: Ask a Question
Certificate of Completion

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