Matplotlib Latex
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font . family : serif
font . serif : Times , Palatino , New Century Schoolbook , Bookman , Computer Modern Roman
font . sans - serif : Helvetica , Avant Garde , Computer Modern Sans Serif
font . cursive : Zapf Chancery
font . monospace : Courier , Computer Modern Typewriter
text . usetex : true
import matplotlib.pyplot as plt
plt . rcParams . update ({
"text.usetex" : True ,
"font.family" : "sans-serif" ,
"font.sans-serif" : [ "Helvetica" ]})
# for Palatino and other serif fonts use:
plt . rcParams . update ({
"text.usetex" : True ,
"font.family" : "serif" ,
"font.serif" : [ "Palatino" ],
})
Possible hangups ¶
On Windows, the PATH environment variable may need to be modified
to include the directories containing the latex, dvipng and ghostscript
executables. See Environment Variables and
Setting environment variables in Windows for details.
Using MiKTeX with Computer Modern fonts, if you get odd *Agg and PNG
results, go to MiKTeX/Options and update your format files
On Ubuntu and Gentoo, the base texlive install does not ship with
the type1cm package. You may need to install some of the extra
packages to get all the goodies that come bundled with other latex
distributions.
Some progress has been made so matplotlib uses the dvi files
directly for text layout. This allows latex to be used for text
layout with the pdf and svg backends, as well as the *Agg and PS
backends. In the future, a latex installation may be the only
external dependency.
© Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012 - 2021 The Matplotlib development team.
Last updated on Aug 13, 2021.
Created using
Sphinx 3.4.3.
Doc version v3.4.3-2-ge48e4acce0.
Matplotlib can use LaTeX to render text. This is activated by setting
text.usetex : True in your rcParams, or by setting the usetex property
to True on individual Text objects. Text handling through LaTeX is slower
than Matplotlib's very capable mathtext , but
is more flexible, since different LaTeX packages (font packages, math packages,
etc.) can be used. The results can be striking, especially when you take care
to use the same fonts in your figures as in the main document.
Matplotlib's LaTeX support requires a working LaTeX installation. For the
*Agg backends, dvipng is additionally required; for the PS backend, psfrag ,
dvips and Ghostscript are additionally required. The executables for these
external dependencies must all be located on your PATH .
There are a couple of options to mention, which can be changed using
rc settings . Here is an example
matplotlibrc file:
The first valid font in each family is the one that will be loaded. If the
fonts are not specified, the Computer Modern fonts are used by default. All of
the other fonts are Adobe fonts. Times and Palatino each have their own
accompanying math fonts, while the other Adobe serif fonts make use of the
Computer Modern math fonts. See the PSNFSS documentation for more details.
To use LaTeX and select Helvetica as the default font, without editing
matplotlibrc use:
Here is the standard example,
/gallery/text_labels_and_annotations/tex_demo :
Note that display math mode ( $$ e=mc^2 $$ ) is not supported, but adding the
command \displaystyle , as in the above demo, will produce the same results.
Non-ASCII characters (e.g. the degree sign in the y-label above) are supported
to the extent that they are supported by inputenc .
Certain characters require special escaping in TeX, such as:
Therefore, these characters will behave differently depending on
rcParams["text.usetex"] (default: False ).
In order to produce encapsulated PostScript (EPS) files that can be embedded
in a new LaTeX document, the default behavior of Matplotlib is to distill the
output, which removes some PostScript operators used by LaTeX that are illegal
in an EPS file. This step produces results which may be unacceptable to some
users, because the text is coarsely rasterized and converted to bitmaps, which
are not scalable like standard PostScript, and the text is not searchable. One
workaround is to set rcParams["ps.distiller.res"] (default: 6000 ) to a higher value (perhaps 6000)
in your rc settings, which will produce larger files but may look better and
scale reasonably. A better workaround, which requires Poppler or Xpdf , can
be activated by changing rcParams["ps.usedistiller"] (default: None ) to xpdf . This alternative
produces PostScript without rasterizing text, so it scales properly, can be
edited in Adobe Illustrator, and searched text in pdf documents.
You are reading an old version of the documentation (v2.0.2). For the latest version see https://matplotlib.org/stable/
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Working with text »
font . family : serif
font . serif : Times , Palatino , New Century Schoolbook , Bookman , Computer Modern Roman
font . sans - serif : Helvetica , Avant Garde , Computer Modern Sans serif
font . cursive : Zapf Chancery
font . monospace : Courier , Computer Modern Typewriter
text . usetex : true
from matplotlib import rc
rc ( 'font' , ** { 'family' : 'sans-serif' , 'sans-serif' :[ 'Helvetica' ]})
## for Palatino and other serif fonts use:
#rc('font',**{'family':'serif','serif':['Palatino']})
rc ( 'text' , usetex = True )
"""
Demo of TeX rendering.
You can use TeX to render all of your matplotlib text if the rc
parameter text.usetex is set. This works currently on the agg and ps
backends, and requires that you have tex and the other dependencies
described at http://matplotlib.org/users/usetex.html
properly installed on your system. The first time you run a script
you will see a lot of output from tex and associated tools. The next
time, the run may be silent, as a lot of the information is cached in
~/.tex.cache
"""
import numpy as np
import matplotlib.pyplot as plt
# Example data
t = np . arange ( 0.0 , 1.0 + 0.01 , 0.01 )
s = np . cos ( 4 * np . pi * t ) + 2
plt . rc ( 'text' , usetex = True )
plt . rc ( 'font' , family = 'serif' )
plt . plot ( t , s )
plt . xlabel ( r '\textbf{time} (s)' )
plt . ylabel ( r '\textit{voltage} (mV)' , fontsize = 16 )
plt . title ( r "\TeX\ is Number "
r "$\displaystyle\sum_{n=1}^\infty\frac{-e^{i\pi}}{2^n}$!" ,
fontsize = 16 , color = 'gray' )
# Make room for the ridiculously large title.
plt . subplots_adjust ( top = 0.8 )
plt . savefig ( 'tex_demo' )
plt . show ()
# -*- coding: utf-8 -*-
"""
This demo is tex_demo.py modified to have unicode. See that file for
more information.
"""
from __future__ import unicode_literals
import numpy as np
import matplotlib
matplotlib . rcParams [ 'text.usetex' ] = True
matplotlib . rcParams [ 'text.latex.unicode' ] = True
import matplotlib.pyplot as plt
plt . figure ( 1 , figsize = ( 6 , 4 ))
ax = plt . axes ([ 0.1 , 0.1 , 0.8 , 0.7 ])
t = np . arange ( 0.0 , 1.0 + 0.01 , 0.01 )
s = np . cos ( 2 * 2 * np . pi * t ) + 2
plt . plot ( t , s )
plt . xlabel ( r '\textbf{time (s)}' )
plt . ylabel ( ' \\ textit{Velocity ( \u00B0 /sec)}' , fontsize = 16 )
plt . title ( r '\TeX\ is Number $\displaystyle\sum_{n=1}^\infty'
r '\frac{-e^{i\pi}}{2^n}$!' , fontsize = 16 , color = 'r' )
plt . grid ( True )
plt . show ()
Possible hangups ¶
On Windows, the PATH environment variable may need to be modified
to include the directories containing the latex, dvipng and ghostscript
executables. See Environment Variables and
Setting environment variables in windows for details.
Using MiKTeX with Computer Modern fonts, if you get odd *Agg and PNG
results, go to MiKTeX/Options and update your format files
The fonts look terrible on screen. You are probably running Mac OS, and there
is some funny business with older versions of dvipng on the mac. Set
text.dvipnghack : True in your matplotlibrc file.
On Ubuntu and Gentoo, the base texlive install does not ship with
the type1cm package. You may need to install some of the extra
packages to get all the goodies that come bundled with other latex
distributions.
Some progress has been made so matplotlib uses the dvi files
directly for text layout. This allows latex to be used for text
layout with the pdf and svg backends, as well as the *Agg and PS
backends. In the future, a latex installation may be the only
external dependency.
Troubleshooting ¶
Try deleting your .matplotlib/tex.cache directory. If you don’t know
where to find .matplotlib , see matplotlib configuration and cache directory locations .
Make sure LaTeX, dvipng and ghostscript are each working and on your
PATH .
Make sure what you are trying to do is possible in a LaTeX document,
that your LaTeX syntax is valid and that you are using raw strings
if necessary to avoid unintended escape sequences.
Most problems reported on the mailing list have been cleared up by
upgrading Ghostscript . If possible, please try upgrading to the
latest release before reporting problems to the list.
The text.latex.preamble rc setting is not officially supported. This
option provides lots of flexibility, and lots of ways to cause
problems. Please disable this option before reporting problems to
the mailing list.
If you still need help, please see Getting help
© Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012 - 2016 The Matplotlib development team.
Last updated on May 10, 2017.
Created using Sphinx 1.5.5.
Matplotlib has the option to use LaTeX to manage all text layout. This
option is available with the following backends:
The LaTeX option is activated by setting text.usetex : True in
your rc settings. Text handling with matplotlib’s LaTeX support is
slower than matplotlib’s very capable mathtext , but is more flexible, since different LaTeX
packages (font packages, math packages, etc.) can be used. The
results can be striking, especially when you take care to use the same
fonts in your figures as in the main document.
Matplotlib’s LaTeX support requires a working LaTeX installation, dvipng
(which may be included with your LaTeX installation), and Ghostscript
(GPL Ghostscript 8.60 or later is recommended). The executables for these
external dependencies must all be located on your PATH .
There are a couple of options to mention, which can be changed using rc
settings . Here is an example matplotlibrc file:
The first valid font in each family is the one that will be loaded. If the
fonts are not specified, the Computer Modern fonts are used by default. All of
the other fonts are Adobe fonts. Times and Palatino each have their own
accompanying math fonts, while the other Adobe serif fonts make use of the
Computer Modern math fonts. See the PSNFSS documentation for more details.
To use LaTeX and select Helvetica as the default font, without editing
matplotlibrc use:
Here is the standard example, tex_demo.py :
Note that display math mode ( $$ e=mc^2 $$ ) is not supported, but adding the
command \displaystyle , as in tex_demo.py , will produce the same
results.
Certain characters require special escaping in TeX, such as:
Therefore, these characters will behave differently depending on
the rcParam text.usetex flag.
It is also possible to use unicode strings with the LaTeX text manager, here is
an example taken from tex_unicode_demo.py :
In order to produce encapsulated postscript files that can be embedded in a new
LaTeX document, the default behavior of matplotlib is to distill the output,
which removes some postscript operators used by LaTeX that are illegal in an
eps file. This step produces results which may be unacceptable to some users,
because the text is coarsely rasterized and converted to bitmaps, which are not
scalable like standard postscript, and the text is not searchable. One
workaround is to to set ps.distiller.res to a higher value (perhaps 6000)
in your rc settings, which will produce larger files but may look better and
scale reasonably. A better workaround, which requires Poppler or Xpdf , can be
activated by changing the ps.usedistiller rc setting to xpdf . This
alternative produces postscript without rasterizing text, so it scales
properly, can be edited in Adobe Illustrator, and searched text in pdf
documents.
https://matplotlib.org/stable/tutorials/text/usetex.html
https://matplotlib.org/2.0.2/users/usetex.html
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