Customized style#

Styles in GooseMPL#

The following styles are part of GooseMPL:

  • goose

    Customized layout settings.

  • goose-latex

    Extend a style to enable the use of LaTeX, and change the font to LaTeX default Computer Modern font.

  • goose-autolayout

    Set figure.autolayout = True.

  • goose-huge

    Set the font-size to 20pt.

  • goose-tick-in

    Place the tick-markers (the little lines) at the inside of the axes rather than at the outside.

  • goose-tick-lower

    Shown only axes on the bottom and left side of the figure (those on the top and right are not shown).

See the Examples.

Note

To install them:

python -c "import GooseMPL; GooseMPL.copy_style()"

Background#

matplotlib has a very convenient way to customize plots while minimizing the amount of customized code needed for this. It employs easy-to-switch plotting styles with the same parameters as a matplotlibrc file. The only thing needed to switch styles is:

import matplotlib.pyplot as plt
plt.style.use('name_of_custom_style')

A number of styles are available. To list them use plt.style.available.

Also, one can use one’s own style. This is a plain-text file name_of_custom_style.mplstyle stored in a sub-directory stylelib of the matplotlib configuration directory; e.g.:

~/.matplotlib/stylelib/
~/.config/matplotlib/stylelib/

The exact directory depends on the operating system and the installation. To find the directory to use on your system, use:

import matplotlib
matplotlib.get_configdir()

Note

More information in matplotlib’s documentation

Tips#

Combining styles#

Combining different styles is easily accomplished by including a list of styles. For example:

plt.style.use(['dark_background', 'presentation'])

Temporary styling#

To compose parts of the plot with a different style use:

with plt.style.context(('presentation')):
    plt.plot(np.sin(np.linspace(0, 2 * np.pi)))

Extending#

To get the available fields do the following:

import matplotlib as mpl

print(mpl.rcParams)