Skip to main content

Supports science data analysis across measurement platforms

Project 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 independent analysis routines.
  • Instrument object providing an interface for downloading and analyzing a wide variety of science data sets. - Uses pandas for the underlying data structure; capable of handling the many forms scientific measurements take in a consistent manner. - 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.
  • 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

Optional External Requirements

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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pysat, version 2.2.1
Filename, size File type Python version Upload date Hashes
Filename, size pysat-2.2.1.tar.gz (250.4 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page