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.
- 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
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
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|pysat-0.6.0-py2.py3-none-any.whl (83.8 kB) Copy SHA256 Checksum SHA256||py2.py3||Wheel||Aug 11, 2017|
|pysat-0.6.0.tar.gz (64.0 kB) Copy SHA256 Checksum SHA256||–||Source||Aug 11, 2017|