myplotlib

matplotlib binder with custom styles and routines for fast plotting. see previews of available styles.

installation

pip install myplotlib

usage

loading style, fonts & colormaps

import myplotlib
import matplotlib.pyplot as plt

plt.style.use(STYLE)
# STYLE can be:
# - fancy.dark, fancy.light
# - hershey.dark, hershey.light
# - mono.dark, mono.light
# - latex

# you may also combine the styles:
plt.style.use([STYLE1, STYLE2])

# and you can temporarily load the style:
with plt.style.context(STYLE):
    plt.plot(...)

auxiliary plotting functions

import myplotlib.plots as myplt
# type for docstring:
myplt?

# for specific function:
myplt.plot2d?

# preview custom styles with built-in functions
import myplotlib.tests as mypltest
# type for docstring:
mypltest?

for more usage examples checkout the tests/ submodule.

requirements

• python >= 3.8
• matplotlib >= 3.5.0, numpy
• latex (used for style="fancy" only)
• numba>=0.57.0

development

Building tarballs in the dist directory:

python -m build --sdist --outdir dist .

To-do

• isocontour plotting
• add streamplot for fieldline plotting
• print all the newly added colormaps and the default color sequence
• add a test plot for the demo
• add image to readme
• dark mode
• monotype non-Latex mode