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 matplotlib.pyplot as plt
from myplotlib import register
register()
plt.style.use(STYLE)
# STYLE can be:
# - fancy.dark, fancy.light
# - classic.dark, classic.light
# - mono.dark, mono.light
# - guttenberg.dark, guttenberg.light
# - soviet
# - 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(...)
register()loads the bundled styles, fonts, and colormaps into Matplotlib. importingmyplotlibstill registers them for backward compatibility, but the explicit call keeps linters from flagging an unused side-effect import.
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?
the guttenberg styles mimic renaissance-era book illustrations: old-style lettering (P22 Operina Pro, with EB Garamond as fallback for missing glyphs), imperfect hand-drawn lines, and a single-ink line cycle. they pair well with myplt.hatchedCircle, which shades circles with engraving-style hatching (optionally only the crescent shadow, as on old drawings of moon phases):
with plt.style.context("guttenberg.light"):
fig, ax = plt.subplots()
ax.set_aspect("equal")
myplt.hatchedCircle(ax, (0, 0), 1, angle=45, spacing=0.15)
myplt.hatchedCircle(ax, (2.5, 0), 1, shade_from=0, shade_depth=0.8)
for more usage examples checkout the tests/ submodule.
requirements
python >= 3.10latex(used forfancyandlatexonly)
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
1 maintainer
Metadata
1 maintainer
Release files for myplotlib 1.9.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| myplotlib-1.9.0.tar.gz | 4.5 MB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| myplotlib-1.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.0 MB
Release files / myplotlib-1.9.0.tar.gz
| Download URL | myplotlib-1.9.0.tar.gz |
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| Size | 4.5 MB |
| Tags | Source |
|
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| Download URL | myplotlib-1.9.0-py3-none-any.whl |
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| Size | 4.5 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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