findfont(self, prop, fontext='ttf', directory=None, fallback_to_default=True, rebuild_if_missing=True)
This performs a nearest neighbor search. Each font is given a similarity score to the target font properties. The first font with the highest score is returned. If no matches below a certain threshold are found, the default font (usually DejaVu Sans) is returned.
The result is cached, so subsequent lookups don't have to perform the O(n) nearest neighbor search.
See the :None:None:`W3C Cascading Style Sheet, Level 1
<http://www.w3.org/TR/1998/REC-CSS2-19980512/>` documentation for a description of the font finding algorithm.
<Unimplemented 'target' '.. _fontconfig patterns:\n https://www.freedesktop.org/software/fontconfig/fontconfig-user.html'>
The font properties to search for. This can be either a .FontProperties
object or a string defining a :None:None:`fontconfig patterns`.
The extension of the font file:
'ttf': TrueType and OpenType fonts (.ttf, .ttc, .otf)
'afm': Adobe Font Metrics (.afm)
If given, only search this directory and its subdirectories.
If True, will fallback to the default font family (usually "DejaVu Sans" or "Helvetica") if the first lookup hard-fails.
Whether to rebuild the font cache and search again if the first match appears to point to a nonexisting font (i.e., the font cache contains outdated entries).
The filename of the best matching font.
Find a font that most closely matches the given font properties.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.font_manager.FontManager
matplotlib.font_manager
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