Silverpieces is the codename for a general purpose library for processing N-dimensional arrays of data. The primary use case as of 2019-07 is to extract statistical information from multivariate spatial-temporal grids (lat/lon/time), building on top of xarray. Silverpieces subscribes to the goals of the Pangeo community.
MIT-derived (see License.txt)
DRAFT
In line with the stated intent of major Python scientific libraries, Silverpieces will only aim to run on Python 3.
Set up using conda, or
If using pip:
pip install -r requirements.txt
python setup.py installNotebooks provide some examples of usage. You can use:
- Docker, running
docker-compose upwill create a docker container running on jupyter port 8199 containing the examples. - or manually set up a conda environment in the notebook readme
Silverpieces started to cater for operations on data cubes that go beyond xarray current built-in options. Possibly related work includes: