Style configuration for Matplotlib. Save to ~/.matplotlib/stylelib

niko.mplstyle

## https://matplotlib.org/3.3.3/tutorials/introductory/customizing.html

axes.prop_cycle : cycler('color', ['008fd5', 'fc4f30', '68dc9b', 'ffdf54', '8b8b8b', '810f7c'])  # Modified fivethirtyeight
axes.xmargin : 0  # axis tight
axes.facecolor : white # background colour
axes.linewidth : 1.2

font.family : serif
font.sans-serif : Arial
font.serif : Adobe Text Pro
# font.serif : cmr10 # CMU Serif
# axes.unicode_minus  : False # fix unicode minus from cmr10

font.size : 12
axes.titlesize : 12
axes.labelsize : 12
xtick.labelsize : 12
ytick.labelsize : 12
legend.fontsize: 12
figure.titlesize: 12

# Very slow but fancy
# text.usetex : True
# text.latex.preamble : \usepackage[libertine]{newtxmath}

axes.formatter.use_mathtext : True
# mathtext.fontset : cm
mathtext.fontset : custom
mathtext.it : Libertinus Serif:italic
mathtext.rm : Libertinus Math
mathtext.tt : Source Code Variable
mathtext.bf : Libertinus Serif:bold

lines.linewidth : 1.8
lines.markersize : 4.2
lines.dashed_pattern: 3.7, 2.0
lines.dash_capstyle : round
lines.dash_joinstyle : round
lines.scale_dashes : True

legend.loc : best
legend.fancybox : True
legend.frameon : False
legend.shadow : False
legend.borderpad : 0.25

figure.autolayout : True

image.aspect : equal
image.interpolation : antialiased
image.cmap : magma # spring
image.lut : 256
image.composite_image: True

Additionally, one can create ~\.ipython\profile_default\ipython_config.py and add:

c.InteractiveShellApp.exec_lines = [
    "import matplotlib.pyplot as plt",
    "plt.style.use('niko')",
]

This makes the style default on Jupyter Notebooks.

Currently requires installing Adobe Text Pro, https://github.com/alerque/libertinus and https://fonts.google.com/specimen/Source+Code+Pro