Customizing Matplotlib with style sheets and rcParams # Tips for customizing the properties and default styles of Matplotlib. There are three ways to customize Matplotlib: Setting rcParams at runtime. …

Restore the rcParams from the original rc file loaded by Matplotlib. Style-blacklisted rcParams (defined in matplotlib.style.core.STYLE_BLACKLIST) are not updated.

Customizing Matplotlib with style sheets and rcParams ¶ Tips for customizing the properties and default styles of Matplotlib.

Customize Rc # I'm not trying to make a good-looking figure here, but just to show some examples of customizing rcParams on the fly.

matplotlib.pyplot.rc(group, **kwargs) [source] # Set the current rcParams. group is the grouping for the rc, e.g., for lines.linewidth the group is lines, for axes.facecolor, the group is axes, and so on.

rcParams['font.sans-serif'] = ['Tahoma', 'DejaVu Sans', 'Lucida Grande', 'Verdana']

For setting rcParams, see Customizing Matplotlib with style sheets and rcParams. For example, setting the default to regular allows you to use the same font for math text and regular non-math text.

Default Font # The base default font is controlled by a set of rcParams. To set the font for mathematical expressions, use the rcParams beginning with mathtext (see mathtext).

Fonts in Matplotlib # Matplotlib needs fonts to work with its text engine, some of which are shipped alongside the installation. The default font is DejaVu Sans which covers most European writing …

This example demonstrates a working solution to issue #8576, providing full support of the markevery property for axes.prop_cycle assignments through rcParams. Makes use of the same list of …