Embedding Bokeh into HTML with PyScript and Custom JavaScript Callbacks-优快云博客

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Embedding Bokeh into HTML with PyScript and Custom JavaScript Callbacks

This article explores the process of embedding Bokeh plots into an HTML page using PyScript, a modern web framework for Python. It covers the creation of a CSS-based resize handle, the implementation of custom JavaScript callbacks to interact with Bokeh plots, and how to pass data back to a specific div on the HTML page.

In this article, we will delve into the integration of Bokeh plots into HTML pages using PyScript, a powerful and easy-to-use framework for Python. We will explore how to create a custom CSS-based resize handle, implement custom JavaScript callbacks to manipulate Bokeh plots, and ensure that these interactions update data displayed in specific divs on the HTML page.

Step 1: Setting Up the Environment

First, ensure you have the necessary libraries installed. You’ll need Bokeh, PyScript, and other supporting packages. Here’s how you can install them:

pip install bokeh pyscript

Step 2: Creating the Basic HTML Structure

Let’s start by setting up a basic HTML structure where we will embed our Bokeh plot.

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Bokeh Plot with Resize Handle</title>
    <style>
        #resize-handle {
     
            position: absolute;
            bottom: 5px;
            right: 5px;