- What is Python Bokeh?
- Installation ????:
- 1. LinePlot
- 2. Scatter Plot
- 3. Bar Chart
- 4. Histogram
- 5. Pie Chart
- 6. Time Series Plot
- 7. Linked Brushing
- 8. Hover Tooltips
- 9. Annotations
- 10. Custom Glyphs
- 11. Gridlines and Axes
- 12. Legend
- 13. Categorical Plots
- 14. Subplots
- 15. Interactive Plots
- 16. Linked Panning and Zooming
- 17. Linked Axis Ranges
- 18. Datetime Axis
- 19. Heatmap
- 20. Streamgraph
- 21. Polar Plot
- 22. Donut Chart
- 23. Treemap
- 24. Network Plot
- 25. Sankey Diagram
- 26. Chord Diagram
- How to Contribute?
- Conclusion
Python Bokeh is one of the best Python packages for data visualization. Today we are going to see some Python Bokeh Examples. I have also provided the Python Bokeh project source code GitHub. Learn this easy visualization tool and add it to your Python stack.
What is Python Bokeh?
Python Bokeh is a data visualization tool or we can also say Python Bokeh is used to plot various types of graphs. There are various other graph plotting libraries like matplotlib but Python Bokeh graphs are dynamic in nature means you can interact with the generated graph. See the below examples…
Installation ????:
Python Bokeh can be easily installed using PIP. You can install the Python Bokeh easily by running the command:
Now everything is ready let’s go through the examples ????♂️…
1. LinePlot
Live Preview | Source Code | ???? Contribute
2. Scatter Plot
3. Bar Chart
4. Histogram
5. Pie Chart
Live Preview | Source Code | ???? Contribute
6. Time Series Plot
7. Linked Brushing
8. Hover Tooltips
9. Annotations
10. Custom Glyphs
Live Preview | Source Code | ???? Contribute
11. Gridlines and Axes
12. Legend
13. Categorical Plots
14. Subplots
15. Interactive Plots
Live Preview | Source Code | ???? Contribute
16. Linked Panning and Zooming
17. Linked Axis Ranges
18. Datetime Axis
19. Heatmap
20. Streamgraph
Live Preview | Source Code | ???? Contribute
21. Polar Plot
22. Donut Chart
23. Treemap
24. Network Plot
25. Sankey Diagram
Live Preview | Source Code | ???? Contribute
26. Chord Diagram
How to Contribute?
Feel free to open a PR request on our GitHub repo.
Steps to contribute:
- Fork the repo
- Make changes in the Forked repo and save
- Open a Pull Request
- That’s it ????!
Conclusion
In this article I have shared you 25+ Python Bokeh examples which can help you to learn python bokeh. Feel free to contribute to our github repo and keep it updated.