The Ultimate Guide to Matplotlib | Python
This is the ultimate guide to Matplotlib using an Object Oriented approach. I have covered the following topics in this video:
1. Basics of Matplotlib
2. Line plots
3. Multiple plots in one figure (subplots)
4. Sharing axis labels in subplots
5. Bar plots (stacked and unstacked)
6. Histograms
7. Boxplots
8. Scatter plots
9. Regression line
10. Time series plots
11. Adding legends
12. Adding error bars
13. Adding dual axes
14. Writing simple functions for plotting
15. Annotation on plots with arrows and texts
16. Changing plot styles
17. Control plot dimensions
18. Export high quality plots
Python libraries Used: pandas, numpy, matplotlib
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Chapters:
0:00 Introduction
0:32 Basics
1:44 Line plots
4:42 Multiple plots in one figure (subplots)
6:29 Sharing axis labels in subplots
8:53 Bar plots
10:02 Stacked bar plots
10:42 Adding legends
11:05 Histogram
13:10 Error bars
14:27 Box plots
15:45 Scatter plots
18:54 Regression line
19:44 Time series plots
22:44 Adding dual axes
25:10 Writing simple functions
26:41 Annotation with arrows
28:55 Setting plot styles
29:10 Control plot dimensions
29:25 Export high quality plots
Datasets:
Sales data: https://github.com/dsfeorg/matplotlib...
Penguin data: https://github.com/dsfeorg/matplotlib...
Climate data: https://github.com/dsfeorg/matplotlib...
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