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YouTube

Matplotlib Tutorial

via YouTube

Overview

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Learn how to use the Matplotlib library in Python to create visually appealing plots for data visualization. This course covers topics such as customizing plots, different plot types, real-time data plotting, and more. Students will gain skills in creating bar charts, pie charts, stack plots, histograms, scatter plots, time series data plots, and subplots. The teaching method involves practical demonstrations and hands-on exercises. This course is intended for Python programmers and data analysts looking to enhance their data visualization skills using Matplotlib.

Syllabus

Matplotlib Tutorial (Part 1): Creating and Customizing Our First Plots.
Matplotlib Tutorial (Part 2): Bar Charts and Analyzing Data from CSVs.
Matplotlib Tutorial (Part 3): Pie Charts.
Matplotlib Tutorial (Part 4): Stack Plots.
Matplotlib Tutorial (Part 5): Filling Area on Line Plots.
Matplotlib Tutorial (Part 6): Histograms.
Matplotlib Tutorial (Part 7): Scatter Plots.
Matplotlib Tutorial (Part 8): Plotting Time Series Data.
Matplotlib Tutorial (Part 9): Plotting Live Data in Real-Time.
Matplotlib Tutorial (Part 10): Subplots.

Taught by

Corey Schafer

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