myplotlib 1.6.0

`matplotlib` binder with custom styles and routines for fast plotting

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
# - classic.dark, classic.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 fancy and latex only)
• numba>=0.57.0

development

when deploying a new version, there are three necessary steps to take.

1. increase the version string in myplotlib/__init__.py.
2. generate the previews:

   python3 previews/export_previews.py
   

3. build the new 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