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pysat 0.5.4.3

Supports science data analysis across measurement platforms

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

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
 
File Type Py Version Uploaded on Size
pysat-0.5.4.3-py2.py3-none-any.whl (md5) Python Wheel py2.py3 2017-05-19 79KB
pysat-0.5.4.3.tar.gz (md5) Source 2017-05-19 60KB