To help you get started, we've collected the most common ways that poliastro is being used within popular public projects.

poliastro / poliastro / tests / tests_earth / test_earthsatellite.py View on Github

def test_earth_satellite_orbit():
    r = [3_539.08827417, 5_310.19903462, 3_066.31301457] * u.km
    v = [-6.49780849, 3.24910291, 1.87521413] * u.km / u.s
    ss = Orbit.from_vectors(Earth, r, v)
    C_D = 2.2 * u.one  # dimentionless (any value would do)
    A = ((np.pi / 4.0) * (u.m ** 2)).to(u.km ** 2)
    m = 100 * u.kg
    spacecraft = Spacecraft(A, C_D, m)
    earth_satellite = EarthSatellite(ss, spacecraft)
    assert isinstance(earth_satellite.orbit, Orbit)

View more ways to use poliastro

Name:	poliastro
Website:
Author:	Juan Luis Cano Rodríguez
Version:	0.17.0

poliastro is an open source (MIT) pure Python library for interactive Astrodynamics and Orbital Mechanics, with a focus on ease of use, speed, and quick visualization. It provides a simple and intuitive API, and handles physical quantities with units.

Some features include orbit propagation, solution of the Lambert's problem, conversion between position and velocity vectors and classical orbital elements and orbit plotting, among others. It focuses on interplanetary applications, but can also be used to analyze artificial satellites in Low-Earth Orbit (LEO).

from poliastro.examples import molniya

molniya.plot()

Documentation

Complete documentation, including a user guide and an API reference, can be read on the wonderful Read the Docs.

Examples

In the examples directory you can find several Jupyter notebooks with specific applications of poliastro. You can launch a cloud Jupyter server using binder to edit the notebooks without installing anything. Try it out!

Requirements

poliastro requires the following Python packages:

• NumPy, for basic numerical routines
• Astropy, for physical units and time handling
• numba, for accelerating the code
• jplephem, for the planetary ephemerides using SPICE kernels
• matplotlib, for orbit plotting
• plotly, for 2D and 3D interactive orbit plotting
• SciPy, for root finding and numerical propagation

poliastro is supported on Linux, macOS and Windows on Python 3.8 to 3.10.

Installation

The easiest and fastest way to get the package up and running is to install poliastro using conda:

    $ conda install poliastro --channel conda-forge

Please check out the documentation for alternative installation methods.

Problems and suggestions

If for any reason you get an unexpected error message or an incorrect result, or you want to let the developers know about your use case, please open a new issue in the issue tracker and we will try to answer promptly.

Contributing

poliastro is a community project, hence all contributions are more than welcome! For more information, head to CONTRIBUTING.md.

Support

Release announcements and general discussion take place on our Mailing List .

For further clarifications and discussions, feel free to join Poliastro Chat Room.

Citing

If you use poliastro on your project, please drop me a line.

You can also use the DOI to cite it in your publications. This is the latest one:

And this is an example citation format:

Juan Luis Cano Rodríguez et al.. (2015). poliastro: poliastro 0.4.0. Zenodo. 10.5281/zenodo.17462

License

poliastro is released under the MIT license, hence allowing commercial use of the library. Please refer to the COPYING file.

Credits

Contributors

This project exists thanks to all the people who contribute!

Backers

Thank you to all our backers! Become a backer.

Sponsors

Support us by becoming a sponsor. Your logo will show up here with a link to your website. Become a sponsor.

FAQ

What's up with the name?

poliastro comes from Polimi, which is the shortened name of the Politecnico di Milano, the Italian university where I was studying while writing this software. It's my tiny tribute to a place I came to love. Grazie mille!

Is poliastro validated?

Yes! poliastro is a community project that strives to be easy to use, while at the same time producing correct results that are validated against other commonly used Astrodynamics software such as GMAT and Orekit.

Can I suggest new features for poliastro?

Sure, we encourage you to open an issue so we can discuss future feature additions!

What's the future of the project?

poliastro is actively maintained and receiving an influx of new contributors thanks to the generous sponsorship of Google and the European Space Agency. The best way to get an idea of the roadmap is to see the Milestones of the project.