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This video provides the most complete coverage of Matplotlib with many real world examples. Matplotlib provides numerous ways to create wonderful visualizations. It is the most popular plotting library for Python. It works easily with both Numpy and Pandas arrays. Seaborn, which I'll cover in my next tutorial further extends it, but it is important to learn both.
If you want a video that condenses the whole Matplotlib API and all that it can do into 1 video with a ton of examples, then this video is for you.
I cover most everything you'll learn by reading the API here. Next I'll cover Seaborn, SciPy, StatsModels, Plotly, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. CLICK THE NOTIFICATION BELL
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Matplotlib GitHub Cheat Sheet : https://github.com/derekbanas/matplotlib
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Here is a Table of Contents that will allow you to jump around in the video and learn what ever you are interested in.
TABLE OF CONTENTS
00:00 Intro
00:32 Importing
02:38 Simple Plotting
04:52 Multiple Plots
06:08 Using Figure Objects
12:32 Subplots
15:03 Appearance Options
21:28 Saving Plots
22:09 Working with Pandas Dataframe
29:01 TeX Markup (Math Symbols)
36:41 Histograms
40:57 Bar Charts
48:19 Pie Charts
53:50 Timeseries
59:31 Tables
1:08:21 Scatterplots
1:12:59 3D Surfaces
1:21:38 Matplotlib Finance
1:26:23 Heatmaps
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