In this Matplotlib tutorial, we're going to show an example of how we can track the last price of a stock, by annotating it to the right side of the axis like a lot of charting applications will do.

While people like to see historical prices in their live graphs, they also want to see the most recent price. What most applications do, is the annotate the last price at the y-axis height of the price, and then kind of highlight it and move it around a bit in a box of sorts as price changes. Using our recently-learned annotation tutorial, we can do this along with adding a bbox.

sample code: pythonprogramming.net
hkinsley.com
twitter.com/sentdex
sentdex.com
seaofbtc.com

1. Introduction and Line
2. Legends titles and labels
3. bar charts and histograms
4. Scatter Plots
5. stack plots
6. Pie Charts
7. loading data from files
8. getting data from the internet
9. converting data from the internet
10. basic customizations, rotating labels
11. handling unix time
12. more customization of colors and fills
13. spines and horizontal lines
14. candlestick OHLC graphs
15. styles
16. Live graphs
17. annotations and placing text
18. annotating last price to edge of matplotlib graph example
19. subplots
20. implementing subplots to our stock chart
21. adding more indicator data to our charts
22. cleaning chart, custom fills, pruning
23. sharex axis
24. multi y axis plotting volume on stock chart
25. customizing Matplotlib Legends
26. Basemap intro
27. Basemap customization options
28. plotting coordinates on a map with Basemap
29. matplotlib 3d intro
30. 3d scatter plot
31. 3d bar charts
32. conclusion

Learn how to visualize data in the form of line graphs, bar charts, pie charts, 3D graphs, and more with Python 3 and Matplotlib.