ultraplot 2.1.9

A succinct matplotlib wrapper for making beautiful, publication-quality graphics.

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.