pysatSeasons
pysatSeasons allows users to run seasonal data analyses over N-dimensional data sets managed through the pysat module.
Main Features
- Seasonal binning and averaging routines for 1D and 2D distributions of nD data.
- Occurrence probability routines, daily or by orbit.
- Scatterplot of data_label(s) over two dimensions over a season.
Installation
Prerequisites
pysatSeasons uses common Python modules, as well as modules developed by and for the Space Physics community.
| Common modules | Community modules |
|---|---|
| matplotlib | pysat >= 3.2.0 |
| numpy | |
| pandas | |
| xarray |
GitHub Installation
First, checkout the repository:
git clone https://github.com/pysat/pysatSeasons.git
Change directories into the repository folder and run the setup.py file. For a local install use the "--user" flag after "install".
cd pysatSeasons/
python setup.py install
1 maintainer
Metadata
1 maintainer
Release files for pysatSeasons 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pysatseasons-0.2.1.tar.gz | 20.9 kB | Details |
Release files / pysatseasons-0.2.1.tar.gz
| Download URL | pysatseasons-0.2.1.tar.gz |
|---|---|
| Size | 20.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
45a90d9a6d3a7a9d0bd5f0cab7475ddbfbbd9eeed85903d8bc5f9fc37538f6e3
|
|
BLAKE2b-256 checksum How to use checksums |
6e9d026d5f39157a6ed1bcbfa4e256626b2976ea1175628bdbdc8beac6d3ea47
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
