How can I display an interactive SVG image that utilizes javascript in a Jupyter notebook?
I have an SVG image with embedded javascript that makes the image change based on onclick
events:
<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>
<svg xmlns="http://www.w3.org/2000/svg" height="100" width="100">
<script type="text/ecmascript">
<![CDATA[
function click() {
var el = document.getElementById("box");
el.setAttribute("style", "fill: red");
}
]]>
</script>
<rect style="fill: white" height="100" x="0" y="0" width="100" onclick="click()" id="box" />
</svg>
I would like to display this SVG image in a Jupyter notebook and maintain the interactive functionality.
I tried using
from IPython.display import SVG, display
display(SVG('interactive.svg'))
And while this displays the svg file, the image does not change from white to red when clicked on.
Answer
To maintain the interactive functionality of your SVG (with embedded JavaScript) in a Jupyter notebook, you'll need to use IPython.display.HTML
instead of SVG
. The SVG
function is designed to display SVG images but does not support embedding JavaScript for interactivity. The HTML
function, on the other hand, allows you to embed HTML content that includes both SVG and JavaScript, which will enable the interactivity.
Here's how you can do it:
Solution:
from IPython.display import HTML
# Define the SVG content as a string (including the JavaScript for interactivity)
svg_content = """
<svg xmlns="http://www.w3.org/2000/svg" height="100" width="100">
<script type="text/ecmascript">
<![CDATA[
function click() {
var el = document.getElementById("box");
el.setAttribute("style", "fill: red");
}
]]>
</script>
<rect style="fill: white" height="100" x="0" y="0" width="100" onclick="click()" id="box" />
</svg>
"""
# Display the SVG content with interactivity
display(HTML(svg_content))
Explanation:
- We are defining the SVG as a string (including both the SVG markup and JavaScript embedded inside the
<script>
tag). IPython.display.HTML
is used to render the HTML and JavaScript properly in the notebook. This way, when you click on the rectangle in the SVG, it will change its color to red, as defined in the JavaScript.
Important Notes:
- Interactive Content: Since Jupyter notebooks allow JavaScript to run in the browser, this solution should work as long as the JavaScript code is embedded correctly.
- Security: Be cautious when embedding JavaScript in notebooks as it can lead to security vulnerabilities if sourced from untrusted content.
- CSS Styling: If you need more complex interactivity or styles, you can expand the JavaScript or CSS within the embedded HTML block.
This method should allow you to display interactive SVGs in Jupyter notebooks while retaining their dynamic functionality.