(1) Delete matplotlib font cache file (2) Re-create this file using matplotlibįor (1), you can remove the font list file from the command line. To get matplotlib to recognize that we have a new font file on our computer, we just need to delete and reload this dictionary mapping font names to font files: If you are on mac (windows), it usually sits at whereever your HOME ( %HOME%) environmental variable is set to. Note, this file is not always in the same place, but usually sits at the home directory.
To map font names to font files, matplotlib has a dictionary (or json file) located in its cache directory. Step 2 : Dealing with the matplotlib font cache file This is an important point : fonts are just files on your computer.Īll matplotlib does is assign a name, fname, in matplotlib to a file, name which is a location of a. Specifically, one file it installed was this one : ProximaNova-Regular.otf otf (original type font) file to a directory on the computer that Mac recognizes as the font directory. What does installing a font even mean? Well in our case, it means installing a. For Windows, there is a similar workflow where you download a font and then drag and drop into an equivalent Windows’ fonts app.įor this exercise, I am on a Mac and have installed the “Proxima Nova” font. For Mac, you can use the “Font Books” app. Installing custom fonts on your computer is very easy. We will be working with the “Proxima Nova” font. This walk through is focused on getting fonts to work, because of that I have provided links for how to install the fonts onto your computer. To understand fonts from within matplotlib, I will playing a lot with font_manager class, which has a lot of tools to improve both your font game, but also make writing reuseable code a lot simpler. Second, they abstract from interacting with fonts and their properties from within matplotlib. First, they are sometimes not a complete guide, only showing you bits and pieces (such as how to re-load the matplotlib cache). While there are plenty of resources online for using custom fonts in matplotlib, they suffer from two problems. Cleaning up and re-creating matplotlibs cache that stores font info Installing custom font on your computer 2. To install a custom font to matplotlib requires two steps:ġ. Second, I need to match the design aesthetic for a specific company I’m working for, or a project I’m working on. First, I’m on an OS with a limited number of pre-installed fonts (*cough* Microsoft *cough*). There’s two scenarios I’ve needed to use custom fonts. A More Definitive Guide Why use a custom font?
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