How to embed an interactive Matplotlib plot on a webpage?

MatplotlibPythonData Visualization

To show a plot on a webpage such that the plot could be interactive, we can take the following steps −

  • Install Bokeh and import figure, show, and output_file.
  • Configure the default output state to generate the output saved to a file when:func:'show' is called.
  • Create a new Figure for plotting.
  • Render the images loaded from the given URLs.
  • Immediately display a Bokeh object or application.

Example

from bokeh.plotting import figure, show, output_file

output_file('image.html')
p = figure(x_range=(0, 1), y_range=(0, 1))

p.image_url(url=['bird.jpg'], x=0, y=1, w=0.8, h=0.6)
show(p)

Output

When we execute the code, it will show the following image on your default browser.

You can move the image around on the browser, as the plot is interactive

raja
Rishikesh Kumar Rishi
Published on 10-Jun-2021 11:52:45
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