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-0.3.3.tar.gz
(5.9 kB
view details)
Built Distribution
File details
Details for the file numeph-0.3.3.tar.gz
.
File metadata
- Download URL: numeph-0.3.3.tar.gz
- Upload date:
- Size: 5.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.7.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b4e8f17f6a4b6ba6b83b85c353b5d9dd574e21fa03447cb5a108cf7f74e72b02 |
|
MD5 | 395c3f03c1f0142cc42c9b93d1014308 |
|
BLAKE2b-256 | 2ccd630f2992427ef8557c606b4c5a86e2e6de2fca50a89cabb41075e1f2d58b |
File details
Details for the file numeph-0.3.3-py3-none-any.whl
.
File metadata
- Download URL: numeph-0.3.3-py3-none-any.whl
- Upload date:
- Size: 6.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.7.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 81ec335dfd937c5f461aae445de49fc35d5fad1ccef1d7df1e37cd8791f8016a |
|
MD5 | 0fe07b51c7ea44e74fa1d8d0ca0ab69b |
|
BLAKE2b-256 | ba3a69ca1686f1412ee53b7daae22eb0cbece8b07ebedcefd5b0182e33156c8b |