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Converting text in Matplotlib when exporting .eps files

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, :])
  • Here's the image I get if I save the plot as .png using the figure's toolbar
  • Here's the image I get if I save the plot as .eps and insert it into Word.

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?
like image 882
Erlend Magnus Viggen Avatar asked Jun 26 '14 08:06

Erlend Magnus Viggen


1 Answers

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.

like image 116
ImportanceOfBeingErnest Avatar answered Sep 19 '22 06:09

ImportanceOfBeingErnest