Skip to content

Latest commit

 

History

History
131 lines (88 loc) · 3.61 KB

README.rst

File metadata and controls

131 lines (88 loc) · 3.61 KB
Raw

PyVIMS

Build Python Status Version License

Conda PyPI Docker Binder

This version is no longer supported

Please use the latest version of pyvims (>1.0) in the main branch.

Python package to manipulate the Cassini VIMS data.

Install

With conda

Add conda-forge channel:

$ conda config --add channels conda-forge

Install pyvims package:

$ conda install -c seignovert pyvims

With pip

This module use OpenCV, GDAL and Basemap libraries. Depending on your operating system you need to install them first. In python you should be able to do:

>>> import cv2
>>> import osgeo
>>> from mpl_toolkits.basemap import Basemap

Then you can install pyvims

$ pip install pyvims

With docker

A docker image is available on the docker hub.

docker run --rm -it \
            -p 8888:8888 \
            -v $VIMS_DATA:/home/nbuser/data \
            -v $CASSINI_KERNELS:/home/nbuser/kernels \
            seignovert/pyvims

Examples

Download test files (ISIS3 cubes of 1487096932_1):

$ wget https://vims.univ-nantes.fr/cube/C1487096932_1_vis.cub
$ wget https://vims.univ-nantes.fr/cube/C1487096932_1_ir.cub
$ wget https://vims.univ-nantes.fr/cube/N1487096932_1_vis.cub
$ wget https://vims.univ-nantes.fr/cube/N1487096932_1_ir.cub

To use, simply do:

>>> from pyvims import VIMS

>>> cub = VIMS('1487096932_1')

>>> cub
VIMS cube: 1487096932_1 [ISIS3]

>>> cub.time
'2005-02-14T18:05:00.976500'

>>> cub.target
u'TITAN'

>>> cub.NS, cub.NL
(42, 42)

For more details, take a look to the static Jupyter NoteBook where more examples of usage are provided. You can also try this live demo on Binder.

Disclaimer

This project is not supported or endorsed by either JPL, NAIF or NASA. The code is provided "as is", use at your own risk.