A python package for calculating positions of Solar System objects
Project description
Author: Behrouz Safari
License: MIT
solsys
A python package for calculating positions of Solar System objects
Installation
Install the latest version of solsys from PyPI:
pip install solsys
The only Requirement is numpy.
Quick start
In the current version, there are three classes: sun, moon and planet. Let's get positions of the Sun, Moon and Venus for an observer in Strasbourg at this moment.
from datetime import datetime
from solsys import sun, moon, planet
t = datetime.utcnow()
obs_loc = (7.7441, 48.5831)
s = sun(t, obs_loc)
m = moon(t, obs_loc)
p = planet('venus', t, obs_loc)
# ra and dec (GCRS) of Sun
print(s.ra, s.dec)
# azimuth and altitude of moon
print(m.az, m.alt)
# Geocentric equatorial cartesian coordinates of Venus
print(p.geo_equ_car)
# Apparent magnitude of Venus
print(p.mag)
See more at astrodatascience.net
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
solsys-1.0.0.tar.gz
(9.9 kB
view details)
Built Distribution
solsys-1.0.0-py3-none-any.whl
(10.4 kB
view details)
File details
Details for the file solsys-1.0.0.tar.gz
.
File metadata
- Download URL: solsys-1.0.0.tar.gz
- Upload date:
- Size: 9.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/29.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.61.2 importlib-metadata/4.6.1 keyring/18.0.1 rfc3986/1.5.0 colorama/0.4.3 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 66520c6c9adcd3195bfded44224dea5a27b7392f8d6fd57b225c4305ede89e7f |
|
MD5 | 9d52f238ace667fef9a4e6a3388ad71f |
|
BLAKE2b-256 | 1d224a43fbdd874eed6ae3d2bb5c2e215a4d731b906be859d6c792ba5e79494a |
File details
Details for the file solsys-1.0.0-py3-none-any.whl
.
File metadata
- Download URL: solsys-1.0.0-py3-none-any.whl
- Upload date:
- Size: 10.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/29.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.61.2 importlib-metadata/4.6.1 keyring/18.0.1 rfc3986/1.5.0 colorama/0.4.3 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 50a133bf273dd12f16cfbffb1699f45461af91490411af3265dc836967582d00 |
|
MD5 | 5cf0e54505e13f1c559bc232fb31155e |
|
BLAKE2b-256 | 45e44f31cbb036e670b7e95118bc436057c668741d792cd0cd574cdee5410972 |