pysat 0.5.1

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