pan3d 0.9.0

Utility package for processing and visualizing 3D datasets

Pan3D

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.

GeoTrame 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.

Installation

To install requirements for the Pan3D DatasetBuilder class only:

pip install pan3d

To install requirements for the GeoTrame user interface:

pip install "pan3d[geotrame]"

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]"

Quick Start

geotrame is the main entrypoint for launching GeoTrame locally. Below are some example usages.

To launch GeoTrame without a target dataset to browse XArray examples:

geotrame

To launch GeoTrame with a local path to a target dataset:

geotrame --dataset=/path/to/dataset.zarr

To launch GeoTrame with a remote URL to a target dataset:

geotrame --dataset=https://host.org/link/to/dataset.zarr

To launch GeoTrame with a compatible configuration file (see examples):

geotrame --config_path=/path/to/pan3d_state.json

To launch GeoTrame with the option to browse the Pangeo and ESGF Dataset Catalogs (see Catalogs Tutorial):

geotrame --catalogs pangeo esgf

Or you may specify only one catalog:

geotrame --catalogs pangeo

geotrame --catalogs esgf

The geotrame entrypoint will automatically launch your default browser to open localhost:8080.

To launch without opening your browser, add the --server argument to your command.

Tutorials

• How to use GeoTrame
• GeoTrame command line
• Catalogs Tutorial
• How to use Pan3D in a Jupyter notebook

Examples

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.