scistyles: Matplotlib stylesheets for scientific publications.
Matplotlib stylesheets for scientific publications.
The package is available on pypi. Simply run:
pip install scistyles
The first purpose of this module is to supply matplotlib stylesheets to assist
in the creation of scientific figures. Custom stylesheets can be stored in
relative paths or in
mpl_configdir, but both solutions require manual copy
and emailing for reusing and sharing. Storing the stylesheets in a centralized
repository facilitate reuse and sharing.
The stylesheets stored under
src/scistyles/stylelib are loaded automatically
import matplotlib.pyplot as plt import scistyles plt.style.use("presentation-sp") # plot away!
Under the hood, this module simply extends the
matplotlib.style to accept
a directory as an argument. If you have your own personal styles you don't want
to share^1, you can still load the styles directly:
import matplotlib.pyplot as plt from scistyles scistyles.update_library(style_dirs=["~/path/to/secret/stylesheets"]) plt.style.use("trademarked-style") # ...
Contributions are welcome! In case you have strong disagreement with our choice
of tick width or legend
handlelength, then fine, just contribute your own
stylesheet. We won't argue[^2], and just add it to the pile. Simply make sure
to give the stylesheet a name that is not already taken.
To contribute a stylesheet, just write an issue. For large contributions, a PR would be appreciated.
For everything about
stylesheets, see the official matplotlib
- Add a test plot and autogenerated gallery.
- add a few further design tools (colors, palettes...)
[^2]: We aren't talking about colormaps.
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