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MPLLayout is a package to create precise figure layouts in matplotlib. It works by modelling figure elements using geometric primitives (for example, text anchors are points, the figure is a quadrilateral, etc.), then constraining the sizes and positions of these elements using geometric constraints (for example, fixing the width of a figure, constraining axes sides to be collinear, constraining axes to lie on a grid, etc.).
Using this approach, MPLLayout can:
The tutorial notebook in examples/tutorial.ipynb
demonstrates the basic usage of the package and explains some of the commonly used geometric constraints.
Other examples are also given in the examples
folder.
The notebook at examples/ten_simple_rules_demo.ipynb
contains an interactive demo to recreate a figure from "Ten Simple Rules For Better Figures" (Rougier, Droettboom and Bourne 2014).
A summary of how to use the package is shown in the figure below.
The process resembles creating and constraining geometry in computer-aided design programs like AutoCAD, SolidWorks, etc.
Matplotlib contains several strategies for creating figure layouts (for example, GridSpec
and subplots
for grid-based layouts).
While these approaches work well, greater control over figure element positions is sometimes desirable;
for example, when preparing figures for published documents, research papers, or slides.
You can install the package from PyPI using
pip install matplotlib-layout
Alternateively, clone the repository into a local drive. Navigate to the project directory and run
pip install .
The package requires numpy
, matplotlib
, and jax
.
This project is a work in progress so there are likely bugs and missing features. If you would like to contribute a bug fix, a feature, refactor etc. thank you! All contributions are welcome.
A similar project with a geometric constraint solver is pygeosolve
.
There is also another project prototype for a constraint-based layout engine for matplotlib
MplLayouter
, although it doesn't seem active as of 2023.
FAQs
A package for laying out figures with geometric constraints
We found that matplotlib-layout demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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