I recently wanted to create sparklines to show how some values were changing over time. In addition, I wanted to generate them as images on the server rather than introducing a JavaScript library.

Chris Seymour’s excellent gist, which shows how to create sparklines inside a Pandas DataFrame, got me most of the way there. But I had to tweak his code a bit to get it to play nicely with Python 3.6.

This is what I ended up with:

import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import base64
 
from io import BytesIO
 
def sparkline(data, figsize=(4, 0.25), **kwags):
    """
    Returns a HTML image tag containing a base64 encoded sparkline style plot
    """
    data = list(data)
 
    fig, ax = plt.subplots(1, 1, figsize=figsize, **kwags)
    ax.plot(data)
    for k,v in ax.spines.items():
        v.set_visible(False)
    ax.set_xticks([])
    ax.set_yticks([])
 
    plt.plot(len(data) - 1, data[len(data) - 1], 'r.')
 
    ax.fill_between(range(len(data)), data, len(data)*[min(data)], alpha=0.1)
 
    img = BytesIO()
    plt.savefig(img, transparent=True, bbox_inches='tight')
    img.seek(0)
    plt.close()
 
    return base64.b64encode(img.read()).decode("UTF-8")

I had to change the class used to write the image from StringIO to BytesIO, and I found I needed to decode the bytes produced if I wanted it to display in an HTML page.

This is how you would call the above function:

if __name__ == "__main__":
    values = [
        [1,2,3,4,5,6,7,8,9,10],
        [7,10,12,18,2,8,10,6,7,12],
        [10,9,8,7,6,5,4,3,2,1]
    ]
 
    with open("/tmp/foo.html", "w") as file:
        for value in values:
            file.write('<div><img src="data:image/png;base64,{}"/></div>'.format(sparkline(value)))

And the HTML page looks like this:

That was easy!