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TLE-tools

PyPI PyPI - License PyPI - Python Version PyPI - Wheel

TLE-tools is a small library to work with two-line element set files.

Fork

This repository is a fork of FedericoStra/tletools.

Purpose

The purpose of the library is to parse TLE sets into convenient TLE objects, load entire TLE set files into pandas.DataFrame's, and more.

From Wikipedia:

A two-line element set (TLE) is a data format encoding a list of orbital elements of an Earth-orbiting object for a given point in time, the epoch. The TLE data representation is specific to the simplified perturbations models (SGP, SGP4, SDP4, SGP8 and SDP8), so any algorithm using a TLE as a data source must implement one of the SGP models to correctly compute the state at a time of interest. TLEs can describe the trajectories only of Earth-orbiting objects.

Example:

ISS (ZARYA)
1 25544U 98067A   19249.04864348  .00001909  00000-0  40858-4 0  9990
2 25544  51.6464 320.1755 0007999  10.9066  53.2893 15.50437522187805

Here is a minimal example on how to load the previous TLE:

from tletools import TLE

tle_string = """
ISS (ZARYA)
1 25544U 98067A   19249.04864348  .00001909  00000-0  40858-4 0  9990
2 25544  51.6464 320.1755 0007999  10.9066  53.2893 15.50437522187805
"""

tle_lines = tle_string.strip().splitlines()

tle = TLE.from_lines(*tle_lines)

Then tle is:

TLE(name='ISS (ZARYA)', norad='25544', classification='U', int_desig='98067A',
epoch_year=2019, epoch_day=249.04864348, dn_o2=1.909e-05, ddn_o6=0.0, bstar=4.0858e-05,
set_num=999, inc=51.6464, raan=320.1755, ecc=0.0007999, argp=10.9066, M=53.2893,
n=15.50437522, rev_num=18780)

and you can then access its attributes like t.argp, t.epoch...

TLE format specification

Some more or less complete TLE format specifications can be found on the following websites:

  • Wikipedia
  • NASA
  • CelesTrak
  • Space-Track

Installation

Install and update using pip:

pip install -U TLE-tools

Links

  • Website: https://federicostra.github.io/tletools
  • Documentation: https://tletools.readthedocs.io
  • Releases: https://pypi.org/project/TLE-tools
  • Code: https://github.com/FedericoStra/tletools
  • Issue tracker: https://github.com/FedericoStra/tletools/issues

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