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I'd like to be able to save Matplotlib plots and add them directly as vector graphics in Microsoft Word documents. However, the only format supported by Word and Matplotlib both is .eps, and the axis text is completely missing in Word if I try. I'll show you:

Here's a minimal working example script:

import matplotlib.pyplot as plt import numpy as np axes = plt.gca() data = np.random.random((2, 100)) axes.plot(data[0, :], data[1, :])

Apparently, the way that Matplotlib saves text in .eps files is incompatible with the way that Word reads text from .eps files. The exported .eps files look fine in PS_View.

I can think of two workarounds, but I don't know how to implement them or if it is at all possible in Matplotlib:

  1. Vectorise the text so that it is embedded as paths. This is supported by Matplotlib's SVG backend by setting the rcParam 'svg.fonttype' to 'path', but it doesn't seem directly supported by the ps backend. This would be the ideal workaround. Is there any way to do this?
  2. Rasterise only the text when exporting as .eps. This would be a less ideal workaround. Can this be done?
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    I've just tried embedding an .eps file in the latest Microsoft Word (2016) on Mac and it now appears to display the text correctly. Commented Jan 7, 2016 at 17:16
  • Thanks for testing, @mfitzp! Since posting this question my company has upgraded from Word 2010 to Word 2013. I decided to try again, but the problem still remains here. Either the issue got fixed in Word 2016, or the Mac version of Word is just better. Nevertheless, my questions about the workarounds (questions that are not platform-specific) still stand. Commented Jan 8, 2016 at 8:35
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    I can confirm it also doesn't work on Word 2013 on Windows at least (can't test 2016 unfortunately). Commented Jan 15, 2016 at 16:05
  • How are you saving the image? are you using savefig()? Commented Apr 1, 2016 at 20:24
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    For Microsoft Word 2010 and 2013 I save the figure as .svg and later I convert it to .emf using a free software called Inkscape. Commented May 5, 2016 at 17:39

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As sebacastroh points out, one can save the matplotlib figure as svg using plt.savefig() and then use Inkscape to do the conversion between svg and emf. Enhanced Meta files (emf) are easily read by any Office programm.
This can be automated, like so

import matplotlib.pyplot as plt import numpy as np from subprocess import call def saveEMF(filename): path_to_inkscape = "D:\Path\to\Inkscape\inkscape.exe" call([path_to_inkscape, "--file", filename, "--export-emf", filename[:-4]+".emf" ]) axes = plt.gca() data = np.random.random((2, 100)) axes.plot(data[0, :], data[1, :]) plt.title("some title") plt.xlabel(u"some x label [µm]") plt.ylabel("some y label") fn = "data.svg" plt.savefig(fn) saveEMF(fn)

It may also make sense to save the saveEMF() function externally in a module to always have it at hand.

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2 Comments

While it's a bit of a hacky workaround to convert from .svg to .emf using Inkscape, your script is pretty convenient, and I can confirm that it works perfectly. Thanks!
In Inkscape 1.0, had to use --export-filename=foo.emf

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