Introduction to Bokeh in Python
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Features of Bokeh: Some of the important features of Bokeh are given below:
- Flexibility: Bokeh can be used for common plotting requirements and for custom and complex use-cases.
- Productivity: Its interaction with other popular Pydata tools (such as Pandas and Jupyter notebook) is very easy.
- Interactivity: It creates interactive plots that changes with the user interaction.
- Shareable: Visual data are shareable. They can also be rendered in Jupyter notebooks.
- Open source: Bokeh is an open source project.
Interface Level: Bokeh supports different interface levels can be used by users:
- a low-level: bokeh.models interface provides the most flexibility to application developers.
- an intermediate-level: bokeh.plotting interface is composing of all visual glyphs.
- a high-level: bokeh.charts interface is used to build complex plots easily.