Matplotlib for Developers

Table of contents

1. Introduction
   1. What Is Matplotlib 00:03:09
   2. About The Course 00:02:53
   3. About The Author 00:00:48
2. First Steps
   1. Getting The Code 00:04:22
   2. Installing Matplotlib 00:18:32
   3. Quick Exploratory Data Analysis Example 00:18:46
   4. Using Matplotlib With Jupyter 00:07:16
   5. The Interfaces Of Matplotlib: Pylab, pyplot And OO API 00:10:03
3. pyplot
   1. Introduction To pyplot 00:09:33
   2. The Plot Function 00:10:08
   3. More Plotting 00:12:20
   4. Custom Plotting - Parallel Coordinates 00:07:19
   5. Subplots 00:06:41
   6. Adjusting Subplot Parameters 00:02:26
   7. Custom Plotting - Scatterplot Matrix 00:05:17
   8. Complex Subplots 00:05:03
4. Under The Hood
   1. The Matplotlib Architecture 00:09:37
   2. Anatomy Of A Graphic 00:03:44
   3. How pyplot Works 00:13:40
   4. Troubleshooting pyplot Issues 00:08:26
5. Configuring Matplotlib
   1. Configuration: rcParams And matplotlibrc 00:08:50
   2. Style Sheets 00:07:29
   3. Custom Style Sheets 00:09:18
6. Interactivity
   1. Event Handling 00:12:58
   2. Creating An Interface With ipywidgets 00:07:43
   3. Refining An ipywidgets Interface 00:14:26
7. Maps In Matplotlib
   1. What Is A Map Projection? 00:04:52
   2. Basemap 00:08:45
   3. Creating A Choropleth With Matplotlib 00:16:10
   4. Creating A Dot Density Map 00:14:47
8. The Matplotlib Ecosystem
   1. Seaborn 00:09:20
   2. Pandas 00:10:19
   3. The Web 00:13:22
9. Conclusion
   1. Conclusion 00:01:35