Metadata-Version: 2.0
Name: ftperiodogram
Version: 0.9.5
Summary: ftperiodogram: NlogN periodic template fitting
Home-page: http://github.com/jakevdp/nfft/
Author: John Hoffman
Author-email: jah5@princeton.edu
License: MIT
Platform: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires: nfft
Requires: pytest
Requires: scipy
Requires: numpy
Requires-Dist: nfft
Requires-Dist: numpy
Requires-Dist: pytest
Requires-Dist: scipy


ftperiodogram package
=====================
`ftperiodogram` is a lightweight implementation of the fast template periodogram.
The fast template periodogram extends the [Lomb-Scargle]_ periodogram to arbitrary
signal shapes. It uses the nfft_ library to compute the non-equispaced fast Fourier
transform, and numpy_ and scipy_ libraries for other math-related computations.

For more information and links to usage examples, please see the
repository README_.

.. _README: https://github.com/PrincetonUniversity/FastTemplatePeriodogram/blob/master/README.md
.. _nfft: https://github.com/jakevdp/nfft
.. _numpy: https://www.numpy.org
.. _scipy: https://www.scipy.org
.. [Lomb-Scargle] http://docs.astropy.org/en/stable/stats/lombscargle.html

License
=======
`ftperiodogram` is licensed under the terms of the MIT license. See the file
"LICENSE.txt" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.


