Skip to main content

Convert JPL SPK ephemeris to numpy array

Project description

Author: Behrouz Safari
License: MIT

numeph

Convert JPL SPK ephemeris to numpy array

Installation

Install the latest version of numeph from PyPI:

pip install numeph

Requirements are numpy and jplephem

Save some segments of 'de440s.bsp' from 2020 to 2030:

from datetime import datetime
from numeph import SPK

t1 = datetime(2020, 1, 1)
t2 = datetime(2030, 1, 1)

spk = SPK(fname='de440s.bsp', t1=t1, t2=t2,
          segs_tup=[(0,10), (0,3), (3,399), (3,301)])

# save as txt file
spk.to_txt('de440s_2020_2030.txt')

# save as pickle
spk.to_pickle('de440s_2020_2030.pickle')

Load .txt or .pickle files:

You can load the above saved files using load_txt and load_pickle functions. The will return a dictionary of Segment objects.

from numeph import load_txt

dc = load_txt('de440s_2020_2030.txt')

To access each segment, pass the (center, target) tuple as dictionary key.

seg = dc[(3,301)]

get position of an object from a segment:

t = datetime.utcnow()
pos = seg.get_pos(t)

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

numeph-0.3.0.tar.gz (6.0 kB view hashes)

Uploaded Source

Built Distribution

numeph-0.3.0-py3-none-any.whl (6.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page