Metadata-Version: 1.1
Name: pyvims
Version: 0.6.2
Summary: Python package to manipulate the Cassini VIMS data.
Home-page: http://github.com/seignovert/pyvims
Author: Benoit Seignovert
Author-email: pyvims@seignovert.fr
License: MIT
Description: PyVIMS
        ===============================
        
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        Python package to manipulate the Cassini VIMS data.
        
        Prerequisites
        --------------
        This module use ``GDAL`` library to create and load ``GeoTIFF`` files.
        You need to install it first before installing ``pyvims``.
        
        With ``conda``:
        
        .. code:: bash
        
            $ conda install -c conda-forge gdal
        
        Or directly on Ubuntu:
        
        .. code:: bash
            
            $ apt-get install libgdal-dev
        
        For other operating system, please refer to OSGeo_ page.
        
        .. _OSGeo: https://trac.osgeo.org/gdal/wiki/DownloadingGdalBinaries
        
        Install
        -------
        With ``pip``:
        
        .. code:: bash
        
            $ pip install pyvims
        
        With the ``source files``:
        
        .. code:: bash
        
            $ git clone https://github.com/seignovert/pyvims.git
            $ cd pyvims ; python setup.py install
        
        Testing
        -------
        Check the install:
        
        .. code:: python
        
            >>> from pyvims import VIMS
        
        Examples
        --------
        Download test files (ISIS3 cubes of ``1487096932_1``):
        
        .. code:: bash
        
            $ wget https://vims.univ-nantes.fr/data/isis/T3/C1487096932_1_vis.cub
            $ wget https://vims.univ-nantes.fr/data/isis/T3/C1487096932_1_ir.cub
            $ wget https://vims.univ-nantes.fr/data/isis/T3/N1487096932_1_vis.cub
            $ wget https://vims.univ-nantes.fr/data/isis/T3/N1487096932_1_ir.cub
        
        To use, simply do:
        
        .. code:: python
        
            >>> 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
        `Jupyter NoteBook <https://nbviewer.jupyter.org/github/seignovert/pyvims/blob/master/pyvims.ipynb>`_
        where more example of usage are provided.
        
        Dependencies
        ------------
        - Numpy
        - DateTime
        - CV2
        - Piexif
        - PVL_ (`patched issue #34 <https://github.com/planetarypy/pvl/pull/34>`_)
        - PlanetaryImage
        - SpiceyPy
        
        .. _PVL: https://github.com/seignovert/pvl
        
        
Keywords: nasa,cassini,vims,titan
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: Topic :: Scientific/Engineering :: Astronomy
