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
Documentation
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
Release files for pysat 2.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| pysat-2.2.2.tar.gz | 251.5 kB | Details |
Release files / pysat-2.2.2.tar.gz
| Download URL | pysat-2.2.2.tar.gz |
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| Size | 251.5 kB |
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