GitHub - Ultraplot/UltraPlot: A succinct wrapper for matplotlib
A succinct matplotlib wrapper for making beautiful, publication-quality graphics. It builds upon ProPlot and transports it into the modern age (supporting mpl 3.9.0+).
Why UltraPlot? | Write Less, Create More
Checkout our examples
Below is a gallery showing random examples of what UltraPlot can do, for more examples checkout our extensive docs. View the full gallery here: Gallery.
Subplots & Layouts Create complex multi-panel layouts effortlessly. |
Cartesian Plots Easily generate clean, well-formatted plots. |
Projections & Maps Built-in support for projections and geographic plots. |
Colorbars & Legends Customize legends and colorbars with ease. |
Insets & Panels Add inset plots and panel-based layouts. |
Colormaps & Cycles Visually appealing, perceptually uniform colormaps. |
Documentation
The documentation is published on readthedocs.
Installation
UltraPlot is published on PyPi and
conda-forge. It can be installed with pip or
conda as follows:
pip install ultraplot conda install -c conda-forge ultraplot
The default install includes optional features (for example, pyCirclize-based plots).
For a minimal install, use --no-deps and install the core requirements:
pip install ultraplot --no-deps pip install -r requirements-minimal.txt
Likewise, an existing installation of UltraPlot can be upgraded to the latest version with:
pip install --upgrade ultraplot conda upgrade ultraplot
To install a development version of UltraPlot, you can use
pip install git+https://github.com/ultraplot/ultraplot.git
or clone the repository and run pip install -e .
inside the ultraplot folder.
If you use UltraPlot in your research, please cite the latest release metadata in
CITATION.cff. GitHub can export this metadata as BibTeX from the
repository's "Cite this repository" panel, and the Zenodo badge below points to
the project DOI across releases.