Matplotlib Tutorial

Overview

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Learn how to create powerful data visualizations using Matplotlib in this comprehensive tutorial. Master the most popular plotting library for Python, covering everything from simple plots to complex 3D surfaces. Explore real-world examples and discover how to work with NumPy and Pandas arrays to create stunning visualizations. Dive into topics such as figure objects, subplots, customizing appearance, saving plots, working with Pandas DataFrames, and incorporating TeX markup for mathematical symbols. Create various chart types including histograms, bar charts, pie charts, time series, tables, scatterplots, and heatmaps. Gain insights into financial plotting with Matplotlib and learn how to generate 3D surface plots. By the end of this tutorial, you'll have the skills to create professional-grade data visualizations for your data science and machine learning projects.

Syllabus

Intro.
Importing.
Simple Plotting.
Multiple Plots.
Using Figure Objects.
Subplots.
Appearance Options.
Saving Plots.
Working with Pandas Dataframe.
TeX Markup (Math Symbols).
Histograms.
Bar Charts.
Pie Charts.
Timeseries.
Tables.
Scatterplots.
3D Surfaces.
Matplotlib Finance.
Heatmaps.