ipygany
v0.5.0
Published
Scientific Visualization in Jupyter
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Maintainers
Readme
ipygany is an early developer preview. Features and implementation are subject to change.
Features
ipygany has many features including:
- VTK loader for displaying your computation results in the Jupyter Notebook
- Structured and Unstructured grids support
- 2-D cell based meshes support (quads, triangles...) as well as 3-D cell based meshes support (tetrahedrons, quadratic tetrahedrons...)
- Animations
- IsoColor effect
- Warp effect
- IsoSurface computation
- Threshold effect (for visualizing only the parts that are inside of a range of data)
- Point cloud visualization
- Water effect, for nice water visualization with real-time caustics
Most of those features are very fast, because they are computed entirely on the GPU.
Documentation
To get started with using ipygany
, check out the full documentation
https://ipygany.readthedocs.io
Examples
Animations: Dynamically update the mesh from Python (data generated with https://fastscapelib.readthedocs.io)
IsoColor: Use color mapping to highlight your data
Threshold: Hide parts of your mesh
Water effect: Visualize your water flow data with a realistic water effect
Installation
You can install ipygany with conda:
conda install -c conda-forge ipygany
Or using pip:
pip install ipygany
jupyter nbextension enable --py --sys-prefix ipygany
If you want to load vtk files in ipygany
, you also need to install vtk, you can install it with conda:
conda install -c conda-forge vtk
For JupyterLab <= 2
You need to install the labextension for ipygany:
jupyter labextension install @jupyter-widgets/jupyterlab-manager ipygany