From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson

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Basic plotting with Bokeh

Basic plotting with Bokeh - Python Tutorial

From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson

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Basic plotting with Bokeh

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Now we're going to start looking at Bokeh. Bokeh is another one of the top visualization packages for Python, but it follows a very different approach than what we've seen so far. Up until now, every visualization we generated essentially was relying on Matplotlib in the background, either by interacting with the Matplotlib API directly, as we saw in lesson four, or by using functionalities from other libraries that are built on top of Matplotlib, like in the case of Pandas or Seaborn. Bokeh is designed from the ground up to facilitate interactivity. And so instead of using Matplotlib in the background, Matplotlib is essentially designed for static visualizations. It uses a JavaScript framework to generate JavaScript visualizations that you're able to interact with directly through your browser or through your Jupyter Notebook. The JavaScript back-end, of course, supports all modern browsers, so you never have to worry about not working in your browser, and it's optimized to…

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