Metadata-Version: 1.1
Name: pysat
Version: 0.5.2
Summary: Supports science data analysis across measurement platforms
Home-page: http://github.com/rstoneback/pysat
Author: Russell Stoneback
Author-email: rstoneba@utdallas.edu
License: BSD
Description: The Python Satellite Data Analysis Toolkit (pysat) is a package providing a simple and flexible interface for downloading, loading, cleaning, managing, processing, and analyzing scientific measurements. Though pysat was initially designed for in-situ satellite based measurements it aims to support all instruments in space science.
        
        Main Features
        -------------
        - Instrument object provides a single an interface for downloading and analyzing a wide variety of science data sets.
        - Includes instrument independent analysis routines.
        - Science data pipeline tasks of identifying files, loading, cleaning, and modifying data sets are built into the instrument object.
        - Supports metadata consistent with the netCDF CF-1.6 standard. Each variable has a name, long name, and units. Note units are informational only.
        - Uses pandas for the underlying underlying data structure; capable of handling the many forms scientific measurements take in a consistent manner.
        - Simplifies data management
        - Iterator support for loading data by day/file/orbit, independent of data storage details.
        - Orbits are calculated on the fly from loaded data and span day breaks.
        - Iterate over custom seasons
        - Supports rigorous time-series calculations that require spin up/down time across day/file breaks. 
        - Includes helper functions to reduce the barrier in adding new science instruments to pysat
        
        Documentation
        ---------------------
        `Full Documentation <http://rstoneback.github.io/pysat/>`_
        
        Optional External Requirements
        ------------------------------
        For data in CDF format:
        
        - pysatCDF, which includes required NASA CDF libraries
        
        For data in netCDF format:
        
        - netCDF3 files may be loaded using SciPy alone
        
        - For netCDF4 files, Unidata netCDF libraries in C are required, along with
        - netCDF4 python package
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
