🍃 ploTea

A framework for data-rich, interactive, publication-quality figures. Making the most of matplotlib, plotly, pyvista, pygmt and more!

Features

• self-consistent 2D slices through volumes, surfaces and point-clouds provided by arrau,
  • intelligent visualisation of slicing lines,
  • multi-layer plots with isolines, shading and transparency,
• 3D rendering:
  • by pyvista (vtk-powered),
  • by ipyvolume (OpenGL-powered),
• interactive display of associated metadata using ipywidgets and plotly,
• geographical coordinate-systems provided by pygmt.

Installation

For the lastest stable version run:

conda install kmch::plotea

For the most up-to-date but potentially unstable version, run:

git clone git@github.com:kmch/ploTea.git
cd ploTea
pip install -e .

Citing

If you use any part of this repository in your research, please cite the following paper:

• Chrapkiewicz, Kajetan and Lipp, Alex and Barron, Leon Patrick and Barnes, Richard and Roberts, Gareth, Apportioning sources of chemicals of emerging concern along an urban river with inverse modelling. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2024.172827