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
Metadata
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 | Provenance | Actions |
|---|---|---|---|---|
| pysat-2.2.2.tar.gz | 251.5 kB | Without provenance | Details for pysat-2.2.2.tar.gz |
Release files / pysat-2.2.2.tar.gz
| Download URL | pysat-2.2.2.tar.gz |
|---|---|
| Size | 251.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
835db7d58507d09a7ad75a5ee1e5d4fc80a095c3abf5012ce85f06f7b0b7c4fe
|
|
BLAKE2b-256 checksum How to use checksums |
71b0e792763ee3a49ecf58197ff61bd02b969175212fd57cce1c10a6a12db57c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/2.7.18
|
Security for pysat 2.2.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.