Matplotlib - How to plot a high resolution graph?

For future readers who found this question while trying to save high resolution images from matplotlib as I am, I have tried some of the answers above and elsewhere, and summed them up here.

Best result: plt.savefig('filename.pdf')

and then converting this pdf to a png on the command line so you can use it in powerpoint:

pdftoppm -png -r 300 filename.pdf filename

OR simply opening the pdf and cropping to the image you need in adobe, saving as a png and importing the picture to powerpoint

Less successful test #1: plt.savefig('filename.png', dpi=300)

This does save the image at a bit higher than the normal resolution, but it isn't high enough for publication or some presentations. Using a dpi value of up to 2000 still produced blurry images when viewed close up.

Less successful test #2: plt.savefig('filename.pdf')

This cannot be opened in Microsoft Office Professional Plus 2016 (so no powerpoint), same with Google Slides.

Less successful test #3: plt.savefig('filename.svg')

This also cannot be opened in powerpoint or Google Slides, with the same issue as above.

Less successful test #4: plt.savefig('filename.pdf')

and then converting to png on the command line:

convert -density 300 filename.pdf filename.png

but this is still too blurry when viewed close up.

Less successful test #5: plt.savefig('filename.pdf')

and opening in GIMP, and exporting as a high quality png (increased the file size from ~100 KB to ~75 MB)

Less successful test #6: plt.savefig('filename.pdf')

and then converting to jpeg on the command line:

pdfimages -j filename.pdf filename

This did not produce any errors but did not produce an output on Ubuntu even after changing around several parameters.


Use plt.figure(dpi=1200) before all your plt.plot... and at the end use plt.savefig(...).


You can use savefig() to export to an image file:

plt.savefig('filename.png')

In addition, you can specify the dpi argument to some scalar value, for example:

plt.savefig('filename.png', dpi=300)