{
    "info": {
        "author": "Federico Stra",
        "author_email": "stra.federico@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Framework :: IPython",
            "Framework :: Jupyter",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Visualization"
        ],
        "description": "# TLE-tools\n\n![PyPI](https://img.shields.io/pypi/v/TLE-tools)\n![PyPI - License](https://img.shields.io/pypi/l/TLE-tools)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/TLE-tools)\n![PyPI - Wheel](https://img.shields.io/pypi/wheel/TLE-tools)\n\n`TLE-tools` is a small library to work with [two-line element\nset](https://en.wikipedia.org/wiki/Two-line_element_set) files.\n\n## Purpose\n\nThe purpose of the library is to parse TLE sets into convenient `TLE` objects,\nload entire TLE set files into `pandas.DataFrame`'s, convert `TLE` objects into\n`poliastro.twobody.Orbit`'s, and more.\n\nFrom [Wikipedia](https://en.wikipedia.org/wiki/Two-line_element_set):\n\n> A two-line element set (TLE) is a data format encoding a list of orbital\nelements of an Earth-orbiting object for a given point in time, the epoch.\nThe TLE data representation is specific to the [simplified perturbations\nmodels](https://en.wikipedia.org/wiki/Simplified_perturbations_models) (SGP,\nSGP4, SDP4, SGP8 and SDP8), so any algorithm using a TLE as a data source must\nimplement one of the SGP models to correctly compute the state at a time of\ninterest. TLEs can describe the trajectories only of Earth-orbiting objects.\n\nExample:\n\n```\nISS (ZARYA)\n1 25544U 98067A   19249.04864348  .00001909  00000-0  40858-4 0  9990\n2 25544  51.6464 320.1755 0007999  10.9066  53.2893 15.50437522187805\n```\n\nHere is a minimal example on how to load the previous TLE:\n\n```python\nfrom tletools import TLE\n\ntle_string = \"\"\"\nISS (ZARYA)\n1 25544U 98067A   19249.04864348  .00001909  00000-0  40858-4 0  9990\n2 25544  51.6464 320.1755 0007999  10.9066  53.2893 15.50437522187805\n\"\"\"\n\ntle_lines = tle_string.strip().splitlines()\n\ntle = TLE.from_lines(*tle_lines)\n```\n\nThen `tle` is:\n\n```python\nTLE(name='ISS (ZARYA)', norad='25544', classification='U', int_desig='98067A',\nepoch_year=2019, epoch_day=249.04864348, dn_o2=1.909e-05, ddn_o6=0.0, bstar=4.0858e-05,\nset_num=999, inc=51.6464, raan=320.1755, ecc=0.0007999, argp=10.9066, M=53.2893,\nn=15.50437522, rev_num=18780)\n```\n\nand you can then access its attributes like `t.argp`, `t.epoch`...\n\n### TLE format specification\n\nSome more or less complete TLE format specifications can be found on the following websites:\n\n- [Wikipedia](https://en.wikipedia.org/wiki/Two-line_element_set#Format)\n- [NASA](https://spaceflight.nasa.gov/realdata/sightings/SSapplications/Post/JavaSSOP/SSOP_Help/tle_def.html)\n- [CelesTrak](https://celestrak.com/columns/v04n03/)\n- [Space-Track](https://www.space-track.org/documentation#tle)\n\n## Installation\n\nInstall and update using [pip](https://pip.pypa.io/en/stable/):\n```bash\npip install -U TLE-tools\n```\n\n## Links\n\n- Website: https://federicostra.github.io/tletools\n- Documentation: https://tletools.readthedocs.io\n- Releases: https://pypi.org/project/TLE-tools\n- Code: https://github.com/FedericoStra/tletools\n- Issue tracker: https://github.com/FedericoStra/tletools/issues\n\n\n",
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