Download matplotlib plot as jpg

Asked 9 years, 11 months ago. Active 2 years, 1 month ago. Viewed k times. When I simply use the savefig command with jpg extension this returns : ValueError: Format "jpg" is not supported. Supported formats: emf, eps, pdf, png, ps, raw, rgba, svg, svgz. Is there a way to perform this? Improve this question. Can you export to png, and convert using imagemagick? Not directly related to your problem, but the line art typically produced by matplotlib doesn't work well with the compression algorithm used by the JPEG format which was designed for blurry photographs.

Compare e. This produces figures that are scaleable without resolution loss and much smaller file sizes. Going from png to pdf, you might shrink your image size from kB to 40 kB. Add a comment. Active Oldest Votes. You can save an image as 'png' and use the python imaging library PIL to convert this file to 'jpg': import Image import matplotlib.

Improve this answer. Bhargav Rao There are also other parameters in the savefig command. You can refer to the documentation of this command by following the link: matplotlib. I hope you liked the article. Comment if you have any doubts or suggestions regarding this article. Your email address will not be published. The savefig function has a mandatory filename argument.

Here, we've specified the filename and format. The DPI parameter defines the number of dots pixels per inch. This is essentially the resolution of the image we're producing. Let's test out a couple of different options:. The transparent argument can be used to create a plot with a transparent background.

This is useful if you'll use the plot image in a presentation, on a paper or would like to present it in a custom design setting:. Check out our hands-on, practical guide to learning Git, with best-practices, industry-accepted standards, and included cheat sheet. So in simple terms, the only parameters that we really want to use is the first parameter.

It is the name and path of the output file. Rest of the other parameters are all optional. So with this much knowledge, we can now start using this function. For easier understanding, let us just use the code and plot from our previous article. Currently, the code from our previous article looked like this:.

Up until now, we have been creating plots using Matplotlib that looked like above. However, so far we had not saved this plot to an image file. So In the next section we will learn how to instruct Matplotlib to save the plot to an image file.