Participer au site avec un Tip
Rechercher
 

Améliorations / Corrections

Vous avez des améliorations (ou des corrections) à proposer pour ce document : je vous remerçie par avance de m'en faire part, cela m'aide à améliorer le site.

Emplacement :

Description des améliorations :

Contenu du module « scipy.fft »

Liste des fonctions du module scipy.fft

Signature de la fonction Description
dct(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, workers=None) Return the Discrete Cosine Transform of arbitrary type sequence x. [extrait de dct.__doc__]
dctn(x, type=2, s=None, axes=None, norm=None, overwrite_x=False, workers=None)
dst(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, workers=None) Return the Discrete Sine Transform of arbitrary type sequence x. [extrait de dst.__doc__]
dstn(x, type=2, s=None, axes=None, norm=None, overwrite_x=False, workers=None)
fft(x, n=None, axis=-1, norm=None, overwrite_x=False, workers=None, *, plan=None)
fft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False, workers=None, *, plan=None)
fftfreq(n, d=1.0)
fftn(x, s=None, axes=None, norm=None, overwrite_x=False, workers=None, *, plan=None)
fftshift(x, axes=None)
fht(a, dln, mu, offset=0.0, bias=0.0) Compute the fast Hankel transform. [extrait de fht.__doc__]
fhtoffset(dln, mu, initial=0.0, bias=0.0) Return optimal offset for a fast Hankel transform. [extrait de fhtoffset.__doc__]
get_workers() Returns the default number of workers within the current context [extrait de get_workers.__doc__]
hfft(x, n=None, axis=-1, norm=None, overwrite_x=False, workers=None, *, plan=None)
hfft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False, workers=None, *, plan=None)
hfftn(x, s=None, axes=None, norm=None, overwrite_x=False, workers=None, *, plan=None)
idct(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, workers=None)
idctn(x, type=2, s=None, axes=None, norm=None, overwrite_x=False, workers=None)
idst(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, workers=None)
idstn(x, type=2, s=None, axes=None, norm=None, overwrite_x=False, workers=None)
ifft(x, n=None, axis=-1, norm=None, overwrite_x=False, workers=None, *, plan=None)
ifft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False, workers=None, *, plan=None)
ifftn(x, s=None, axes=None, norm=None, overwrite_x=False, workers=None, *, plan=None)
ifftshift(x, axes=None)
ifht(A, dln, mu, offset=0.0, bias=0.0) Compute the inverse fast Hankel transform. [extrait de ifht.__doc__]
ihfft(x, n=None, axis=-1, norm=None, overwrite_x=False, workers=None, *, plan=None)
ihfft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False, workers=None, *, plan=None)
ihfftn(x, s=None, axes=None, norm=None, overwrite_x=False, workers=None, *, plan=None)
irfft(x, n=None, axis=-1, norm=None, overwrite_x=False, workers=None, *, plan=None)
irfft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False, workers=None, *, plan=None)
irfftn(x, s=None, axes=None, norm=None, overwrite_x=False, workers=None, *, plan=None)
next_fast_len Find the next fast size of input data to ``fft``, for zero-padding, etc. [extrait de next_fast_len.__doc__]
register_backend(backend)
rfft(x, n=None, axis=-1, norm=None, overwrite_x=False, workers=None, *, plan=None)
rfft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False, workers=None, *, plan=None)
rfftfreq(n, d=1.0)
rfftn(x, s=None, axes=None, norm=None, overwrite_x=False, workers=None, *, plan=None)
set_backend(backend, coerce=False, only=False) Context manager to set the backend within a fixed scope. [extrait de set_backend.__doc__]
set_global_backend(backend) Sets the global fft backend [extrait de set_global_backend.__doc__]
set_workers(workers) Context manager for the default number of workers used in `scipy.fft` [extrait de set_workers.__doc__]
skip_backend(backend) Context manager to skip a backend within a fixed scope. [extrait de skip_backend.__doc__]
test(label='fast', verbose=1, extra_argv=None, doctests=False, coverage=False, tests=None, parallel=None)