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| author | Marius Bakke <mbakke@fastmail.com> | 2018-12-02 20:13:39 +0100 |
|---|---|---|
| committer | Marius Bakke <mbakke@fastmail.com> | 2018-12-03 17:44:14 +0100 |
| commit | 36c90dda38b5324530dc2d09b66569ed6f8541a3 (patch) | |
| tree | da3cd4402dc3f973e2ca76839ed187b24a8d69f6 /gnu/packages | |
| parent | 8aaec042d4a7cff68c219443517b55b1d9f0ee9c (diff) | |
| download | gnu-guix-36c90dda38b5324530dc2d09b66569ed6f8541a3.tar gnu-guix-36c90dda38b5324530dc2d09b66569ed6f8541a3.tar.gz | |
gnu: Add python-pywavelets.
* gnu/packages/python.scm (python-pywavelets, python2-pywavelets): New public
variables.
Diffstat (limited to 'gnu/packages')
| -rw-r--r-- | gnu/packages/python.scm | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/gnu/packages/python.scm b/gnu/packages/python.scm index b0edaf906f..570cfb65e2 100644 --- a/gnu/packages/python.scm +++ b/gnu/packages/python.scm @@ -4170,6 +4170,49 @@ a front-end for C compilers or analysis tools.") (define-public python2-pycparser (package-with-python2 python-pycparser)) +(define-public python-pywavelets + (package + (name "python-pywavelets") + (version "1.0.1") + (home-page "https://github.com/PyWavelets/pywt") + (source (origin + (method url-fetch) + (uri (pypi-uri "PyWavelets" version)) + (sha256 + (base32 + "1p3qv2v66ghnqrb1f98wyyhp9dz71jwcd6kfpsax65sfdpiyqp1w")))) + (build-system python-build-system) + (arguments + '(#:modules ((ice-9 ftw) + (srfi srfi-1) + (srfi srfi-26) + (guix build utils) + (guix build python-build-system)) + #:phases (modify-phases %standard-phases + (replace 'check + (lambda _ + (let ((cwd (getcwd)) + (libdir (find (cut string-prefix? "lib." <>) + (scandir "build")))) + (with-directory-excursion (string-append cwd "/build/" libdir) + (invoke "nosetests" "-v" ".")))))))) + (native-inputs + `(("python-matplotlib" ,python-matplotlib) ;for tests + ("python-nose" ,python-nose))) + (propagated-inputs + `(("python-numpy" ,python-numpy))) + (synopsis "Wavelet transforms in Python") + (description + "PyWavelets is a library for wavelet transforms in Python. Wavelets are +mathematical basis functions that are localized in both time and frequency. +Wavelet transforms are time-frequency transforms employing wavelets. They are +similar to Fourier transforms, the difference being that Fourier transforms are +localized only in frequency instead of in time and frequency.") + (license license:expat))) + +(define-public python2-pywavelets + (package-with-python2 python-pywavelets)) + (define-public python-xcffib (package (name "python-xcffib") |