PyNFFTls
This Python module provides the Fast Lomb-Scargle periodogram developed by B. Leroy (2012, Astron. Astrophys. 545, A50)
It is based on the Non-equispaced Fast Fourier Transform (NFFTn http://www-user.tu-chemnitz.de/~potts/nfft/) as well as the FFTW3 library (http://www.fftw.org/). Both librairies must be installed.
- Calling sequence:
(f,p) = period(t,y,ofac,hifac)
For more details, see the associated documentation For a complete example, see nfftls_test.py
This Python module also provides the following methods: - the Non-equidistant Fast Fourier Transform (NFFT) of a time series: (f,A) = nfft(t,y,p,d). For more details, see the associated documentation - the Discrete Fourier Transform (DFT) of a time series: A = dft(t,y,f). For more details, see the associated documentation
For a complete example, see nfftls_test2.py
Change history: 1.6 (29/11/2020): module made compatible with NFFT version 3.5.3 1.5 (2/02/2020): module interface is now based on Cython, module now compatible with python 3 1.4 (11/04/2019): interface of nfft() changed, this function can now compute an over-sampled fourier transform 1.3 (10/04/2019): correct a bug that lead to over-estimate the frequency by a relative factor of 1e-5 1.2 (4/06/2013): 1.1 (18/01/2013): 1.0 (3/01/2013): initial version
Samadi, LESIA (http://lesia.obspm.fr), Observatoire de Paris, 22 Dec. 2012
1 maintainer
Metadata
1 maintainer
Release files for pynfftls 1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pynfftls-1.6.tar.gz | 28.9 kB | Without provenance | Details |
Release files / pynfftls-1.6.tar.gz
| Download URL | pynfftls-1.6.tar.gz |
|---|---|
| Size | 28.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b22f1044359ef5b1ba2b1b16197e800148cb9112f5d492b85e5e4a6f2b841c13
|
|
BLAKE2b-256 checksum How to use checksums |
07fd519e5b416d84a9aafae82b2891046287f76d43b255db46ffc9bb035eb5d8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
|
Security for pynfftls 1.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
