(serif, monospace, fantasy, cursive, and sans-serif) that will internally beĬurrently the public API for doing step 2 is FontManager.findfont (and that Names that map directly to fonts there are five "generic font family names" This algorithm takes into account the font family name (e.g. Specified by the CSS1 Specifications which is used by web browsers. The algorithm to select the "best" font is a modified version of the algorithm The text - the exact details depend on the backend via font_manager.get_font. The Python proxy for the font object is used by the backend code to render To select the closest "best" font Matplotlib is aware of (except for Internally, using a font in Matplotlib is a three step process:Ī FontProperties object is created (explicitly or implicitly)īased on the FontProperties object the methods on FontManager are used Because the exact rendering of the glyphsĬhanges between FreeType versions we pin to a specific version for our imageĬomparison tests. To output text to raster formats via Agg, Matplotlib relies on FreeType. However, the appearance may varyīased on the SVG viewer and what fonts are available. In contrast, saving with 'none' will result in smaller files and the However the text will not be editable after the fact. That the SVG will look the same on all computers independent of what fonts are When saving via 'path' Matplotlib will compute the path of the glyphs usedĪs vector paths and write those to the output. Text can output to SVG in two ways controlled by rcParams (default: 'path'):Īs string in the SVG with font styling on the element ( 'none') savefig ( "AFM_PS.ps", format = "ps" ) Fonts in SVG # savefig ( "AFM_PDF.pdf", format = "pdf" ) fig. rcParams = True chars = "AFM ftw!" fig, ax = plt. rcParams = True # trigger core fonts for PS backend plt. # trigger core fonts for PDF backend plt. This is especially helpful to generate really lightweight documents: You restrict your document to only these fonts you do not have to embed anyįont information in the document but still get vector text. There are 14 Core Fonts that compliant viewers must ensure are available. In addition to the ability to embed fonts, as part of the PostScript and PDF (reduced) font are both complex problem and thus Matplotlib relies onĬurrently Type 3, Type 42, and TrueType fonts are subsetted. Computing the subset of the font required and writing the new This gets both vector text and smallįiles sizes. The solution to this problem is to subset the fonts used in the document and However, embedding full fonts in the file can lead to large outputįiles, particularly with fonts with many glyphs such as those that support CJK This ensures that if the output is zoomed or resized the text does not become Installed on the viewer's computer and without the need to pre-rasterize the text. The PDF and PostScript formats support embedding fonts in files, allowing theĭisplay program to correctly render the text, independent of what fonts are Generally contain a much larger character set! OpenType is a new standard for digital type fonts, developed jointly by Other font specifications which Matplotlib supports:Ĥ2 is the Answer to Life, the Universe, and Everything! Hinting supported (virtual machine processes the "hints")Īdobe disabled support for authoring with Type 1 fonts in January 2023. Include a virtual machine that can execute code! (in theory, even render fractals when rasterizing!) Restricted subset of PostScript, charstrings are in bytecodeįull PostScript language, allows embedding arbitrary code Newer than previous types, used commonly today, introduced by Apple Similar to Type 1 in terms of introduction One of the oldest types, introduced by Adobe Which are explained later in the guide): Type of Fonts # Matplotlib supports three font specifications (in addition to pdf 'core fonts', Fonts in PDF and PostScript #įonts have a long (and sometimes incompatible) history in computing, leading toĭifferent platforms supporting different types of fonts. ( usetex=True), see Text rendering with LaTeX. Matplotlib also provides an option to offload text rendering to a TeX engine See Customizing text properties forĭetails and Text with non-latin glyphs in particular for glyphs not supported by However, users can configure the default fonts, and provide their own customįonts. The default font is DejaVu Sans which covers most European writing systems. Matplotlib needs fonts to work with its text engine, some of which are shippedĪlongside the installation. To download the full example code Fonts in Matplotlib # Text rendering with XeLaTeX/LuaLaTeX via the pgf backend.Customizing Matplotlib with style sheets and rcParams.Understanding the extent keyword argument of imshow. Tight layout guide (mildly discouraged).Writing a backend - the pyplot interface.Interactive figures and asynchronous programming.Matplotlib Application Interfaces (APIs).
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