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gatspy: General tools for Astronomical Time Series in Python

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/

DOI version status build status license

Examples

For examples of using gatspy, refer to the example notebooks in the package (powered by nbviewer)

Installation

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

Additionally, for some of the functionality gatspy optionally depends on:

  • supersmoother
  • astroML

Unit Tests

Gatspy uses nose for unit tests. With nosetests installed, type

$ nosetests gatspy

to run the unit tests.

The tests are run on Python versions 2.7, 3.4, and 3.5.

Authors

  • Jake VanderPlas

Citing

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).

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General tools for Astronomical Time Series in Python

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