![]() Some progress has been made so Matplotlib uses the dvi files directly for text layout. You may need to install some of the extra packages to get all the goodies that come bundled with other latex distributions. On Ubuntu and Gentoo, the base texlive install does not ship with the type1cm package. ![]() Set text.dvipnghack : True in your matplotlibrc file. You are probably running Mac OS, and there is some funny business with dvipng on the mac. ![]() Using MiKTeX with Computer Modern fonts, if you get odd -Agg and PNG results, go to MiKTeX/Options and update your format files Sheesh.) Select the PATH variable, and add the appropriate directories. This is done by going to the control panel, selecting the "system" icon, selecting the "advanced" tab, and clicking the "environment variables" button (and people think Linux is complicated. On Windows, the PATH environment variable may need to be modified to find the latex, dvipng and ghostscript executables. The xpdf alternative produces postscript with text that can be edited in Adobe Illustrator, or searched for once converted to pdf. A better workaround, which requires or (the new backend to xpdf) can be activated by changing the rc ps.usedistiller setting to xpdf. One workaround is to to set ps.distiller.res to a higher value (perhaps 6000) in your rc settings. This step produces fonts which may be unacceptable to some users. 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. Display math mode (\$\$ e=mc^2 \$\$) is not supported, but adding the command \displaystyle, as in tex_demo.py, will produce the same results. Note that when TeX/LaTeX support is enabled, you can mix text and math modes. Settings, either using a matplotlibrc file, or the rcParams dict in your There are a couple of options to mention, which can be changed using rc These external dependencies must be located on your PATH. With your TeX installation), and ghostscript ( AFPL,īut GPL ghostscript-8.60 or later is recommended). This option requires a working LaTeX installation, Matplotlib-0.87, please update matplotlib if you have an earlier Many improvements have been made beginning with Two individuals have relied upon it to generate the figures for theirĭoctoral dissertations. Matplotlib's LaTeX support is still under development, although at least Striking, especially when you take care to use the same fonts in your More flexible, and produces publication-quality plots. Matplotlib's LaTeX support is slower than standard text handling, but is Option (which is still somewhat experimental) can be activated by Matplotlib can use LaTeX to handle the text layout in your figures.
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