Gatspy (pronounced as F. Scott Fitzgerald would probably pronounce it) is a collection of tools for analyzing astronomical time series in Python. Documentation can be found at http://astroML.org/gatspy/
For examples of using gatspy, refer to the example notebooks in the package (powered by nbviewer)
You can install the released version of gatspy using
$ pip install gatspy
or install the source from this directory using
$ python setup.py install
The package is pure python (i.e. no C or Fortran extensions) so there should be no problems with installation on any system. Gatspy has the following dependencies:
- numpy version 1.8 or higher
- scipy
- supersmoother
Additionally, for some of the functionality gatspy optionally depends on:
Gatspy uses nose for unit tests. With nosetests installed, type
$ nosetests gatspy
to run the unit tests.
The tests are run on Python versions 2.6, 2.7, 3.3, 3.4, and 3.5.
If you use this code in an academic publication, please consider including a citation. Citation information in a variety of formats can be found on zenodo.
Please also see our paper describing the multiband methods in this package: VanderPlas & Ivezic (2015).