Bokeh - Simple Guide to Create Interactive Charts | Python | Sunny Solanki
Bokeh is a python library to create interactive data visualizations. In this tutorial, we have explained how to create interactive charts using Bokeh in Jupyter Notebook. Below is a list of chart types we covered in our tutorial.
1. Scatter Charts
2. Bar Charts
Horizontal Bar Chart
Stacked Bar Chart
Grouped Bar Chart
3. Line Charts
Useful Bokeh Tutorials:
Bokeh Getting Started Tutorial (https://coderzcolumn.com/tutorials/da...)
Bokeh - Layout Guide (https://coderzcolumn.com/tutorials/da...)
Bokeh Chart Styling (https://coderzcolumn.com/tutorials/da...)
Maps using Bokeh (https://coderzcolumn.com/tutorials/da...)
Candlestick Charts using Bokeh (https://coderzcolumn.com/tutorials/da...)
Guide to Create Dashboard using Bokeh (https://coderzcolumn.com/tutorials/da...)
How to Add Annotations to Bokeh Charts? (https://coderzcolumn.com/tutorials/da...)
Animation using Bokeh (https://coderzcolumn.com/tutorials/da...)
Link Bokeh Charts with Widgets (https://coderzcolumn.com/tutorials/da...)
Important Chapters:
0:00 - What is Bokeh?
1:34 - Load Datasets
5:18 - Scatter Plots
8:12 - Modify Chart Properties (Axes Labels, Title, etc)
15:30 - Bar Chart
19:34 - Horizontal Bar Chart
20:39 - Stacked Bar Chart
25:58 - Grouped Bar Chart
32:01 - Line Charts
36:17 - Visit CoderzColumn for More
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