A beautiful package for astronomical flux time seriesanalysis in Python.
Project description
A beautiful package for astronomical flux time series analysis in Python.
lightkurve offers a user-friendly way to inspect and analyze astronomical flux time series data. In particular, it is well-suited to analyze the pixels and lightcurves obtained by NASA’s Kepler, K2, and TESS missions.
Documentation
Read the documentation at http://lightkurve.keplerscience.org.
Quickstart
If you have a working version of Python 2 or 3 on your system (we recommend Anaconda Python), you can simply install the latest stable release of lightcurve using pip:
$ pip install lightkurve
With lightkurve installed, you can… TBC.
Contributing
Users are welcome to open issues or pull requests. You can also contact the development team via keplergo@mail.arc.nasa.gov
Citing
TBC
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file lightkurve-1.0.0.dev1.tar.gz.
File metadata
- Download URL: lightkurve-1.0.0.dev1.tar.gz
- Upload date:
- Size: 29.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4556583b9c25b3b09e5bee57edc0e67e6541240b2c57b857c5e0dc21dfb70c3d |
|
| MD5 | 1e1a92a9e8155c1a0536bbd2a3a30cdb |
|
| BLAKE2b-256 | 246cdc244be66ddfac17f3422cbf49022415d880b52a2ca735663434419ccd92 |
