I have a problem displaying non-ASCII characters in Matplotlib, these characters are rendered as small boxes instead of a proper font, it looks like (I filled these boxes with red paint to hightlight them):
How do I fix it?
A related question is Accented characters in Matplotlib.
In order to use non-ASCII characters, Python requires explicit encoding and decoding of strings into Unicode. In IBM® SPSS® Modeler, Python scripts are assumed to be encoded in UTF-8, which is a standard Unicode encoding that supports non-ASCII characters.
Non-ASCII characters are those that are not encoded in ASCII, such as Unicode, EBCDIC, etc. ASCII is limited to 128 characters and was initially developed for the English language.
Use . replace() method to replace the Non-ASCII characters with the empty string.
This problem may actually have a couple of different causes:
The default font does not include these glyphs
You may change the default font using the following (before any plotting is done!)
matplotlib.rc('font', family='Arial')
In some versions of matplotlib you'll have to set the family:
matplotlib.rc('font', **{'sans-serif' : 'Arial', 'family' : 'sans-serif'})
(Note that because sans-serif
contains a hyphen inside the **{}
syntax, it is actually necessary.)
The first command changes the sans-serif
font family to contain only one font (in my case it was Arial), the second sets the default font family to sans-serif
.
Other options are included in the documentation.
You have improperly created/passed string objects into Matplotlib
Even if the font contains proper glyphs, if you forgot to use u
to create Unicode constants, Matplotlib will have this behaviour:
plt.xlabel("Średnia odległość między stacjami wsparcia a modelowaną [km]")
So you need to add u
:
plt.xlabel(u"Średnia odległość między stacjami wsparcia a modelowaną [km]")
Another cause is that you forgot to put a UTF-8 magic comment on top of the file (I read that this might be the source of the problem):
# -*- coding: utf-8 -*-
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