myplotlib 1.0.0

`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

# initialize style:
import myplotlib
myplotlib.load(style=..., flavor=...)
# style can be [`fancy` | `mono` | `hershey`]
# flavor can be [`light` | `dark`]
# if not specified defaults to `style = 'main', flavor = 'light'`

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

# 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 >= 3.6
• matplotlib >= 3.0.0, numpy, numba
• latex (used for style="fancy" only)

development

Building tarballs in the dist directory:

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

Latest updates

• 1.0.0 [Dec 2022]
  • initial release to pypi
• 0.9.4r2 [Mar 2022]
  • better hershey font
  • fallback cursive font added
• v0.9.4 [Mar 2022]
  • new hershey style a-la IDL
  • minor bug fixes in auto-determining the plot ranges
  • PEP 8 compatible style

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