ssies 0.1.4

Library for parsing data SSIES detector DMSP project

SSIES

Python library for parsing data files SSIES detector DMSP project.

Description of library capabilities:

1. Reading compressed binary files from the SSIES detector.
2. Converting data from binary SSIES detector files into data with measurable physical quantities.
3. Extracting and processing headers and timestamps—metadata in files.
4. Correct organization of the structure and metadata in exported files to enable automated data analysis and their correct interpretation in scientific tools such as Panoply.
5. Exporting converted data to convenient formats: NetCDF and CSV.

The ssies package provides five classes (DM, EP, MP, RPA, SM) for five different datasets. These classes have similar methods and functionality. However, each class only works with files containing specific datasets.

API Reference for each class

Method	Input	Output
parse_file()	File path (provided when creating the parser instance)	xarray.Dataset
export_netcdf()	xarray.Dataset, output filename	NetCDF file (.nc) saved to the project root
export_csv()	xarray.Dataset, output filename	CSV file (.csv) saved to the project root

Installation

pip install ssies

Example

from ssies import DM

parser = DM("f13dm09nov05.dat.gz")
ds = parser.parse_file()

print(ds)

Export to CSV:

parser.export_csv(ds, "output.csv")

Export to NetCDF:

parser.export_netcdf(ds, "output.nc")