Pan3D aims to be an utility package for viewing and processing a wide variety of multidimensional datasets. Any dataset that can be interpreted with xarray can be explored and rendered with Pan3D. Read The Doc is available for additional information.
XArray Viewer is a Pan3D application focused on geospatial rendering use cases. This is a graphical user interface leveraging the Pan3D infrastructure to help geospatial scientists explore data.
For an introduction to this project, check out our blog post.
To install requirements for the Pan3D VTK mesh builder class only:
pip install pan3d
To install requirements for the graphical user interface (viewers + explorers):
pip install "pan3d[viewer]"
Optional: to install requirements for Pangeo and ESGF catalogs, respectively:
pip install "pan3d[pangeo]"
pip install "pan3d[esgf]"
Recommended: To install all requirements, including optional packages:
pip install "pan3d[all]"
xr-viewer is the main entrypoint for launching XArray Viewer locally. Below are some example usages.
To launch XArray Viewer without a target dataset to browse XArray examples:
xr-viewer
To launch XArray Viewer with a local path to a target dataset:
xr-viewer --xarray-file ./examples/example_dataset.nc
To launch XArray Viewer with a remote URL to a target dataset:
xr-viewer --xarray-url https://host.org/link/to/dataset.zarr
To launch XArray Viewer with a compatible configuration file (see examples):
xr-viewer --import-state ./examples/example_config_xarray.json
To launch the Catalog browser will allow you to query the Pangeo and ESGF Dataset Catalogs (see Catalogs Tutorial) depending on the available dependencies:
xr-catalog
You may have to install the required dependencies:
pip install "pan3d[pangeo]"
pip install "pan3d[esgf]"
The
xr-viewerentrypoint will automatically launch your default browser to openlocalhost:8080.To launch without opening your browser, add the
--serverargument to your command.
- How to use XArray Viewer
- XArray Viewer command line
- Catalogs Tutorial
- How to use Pan3D in a Jupyter notebook
Pan3D comes with a set of example configuration files and example Jupyter notebooks in the examples folder. You can checkout the repository to run these locally, or you can use the Pan3D Binder instance to run these examples.