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Python library for analyzing data from the e-Callisto International Network of Solar Radio Spectrometers

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PyCallisto Logo

Python library for analyzing data from the e-Callisto International Network of Solar Radio Spectrometers

[Build Status codecov License: GPL v3 Code style: black

Installation and usage

Installation

⚠️WARNING⚠️ PyCallisto is still under development! Improvements and breaking changes should be expected in upcoming releases!

PyCallisto is not available on PyPi yet but, you can download a development release at https://github.com/andrekorol/pycallisto/releases.

Otherwise, if you have Git installed and want to test the current unreleased version of PyCallisto, you can get the master branch with:

git clone https://github.com/andrekorol/pycallisto.git

Once inside the package top directory, run python setup.py install OR pip install ..

Usage

To test the library and its simplicity with some sample data, download these two FITS files from e-Callisto (BLEN7M_20110809_080004_25.fit.gz and BLEN7M_20110809_081504_25.fit.gz) and then run the following code from a Python interpreter:

from pycallisto import fitsplot

fits_file_list = [
    "BLEN7M_20110809_080004_25.fit.gz",
    "BLEN7M_20110809_081504_25.fit.gz",
]

fitsplot(fits_file_list, show_colorbar=True)

The resulting plot is:

BLEN7M_20110809_080004_083000_25.png

PyCallisto is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

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Python library for analyzing data from the e-Callisto International Network of Solar Radio Spectrometers

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