| dct(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, workers=None, orthogonalize=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, *, orthogonalize=None) |
|
| dst(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, workers=None, orthogonalize=None) |
|
| dstn(x, type=2, s=None, axes=None, norm=None, overwrite_x=False, workers=None, orthogonalize=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, *, xp=None, device=None) |
Return the Discrete Fourier Transform sample frequencies. [extrait de fftfreq.__doc__] |
| fftn(x, s=None, axes=None, norm=None, overwrite_x=False, workers=None, *, plan=None) |
|
| fftshift(x, axes=None) |
Shift the zero-frequency component to the center of the spectrum. [extrait de fftshift.__doc__] |
| 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, orthogonalize=None) |
|
| idctn(x, type=2, s=None, axes=None, norm=None, overwrite_x=False, workers=None, orthogonalize=None) |
|
| idst(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, workers=None, orthogonalize=None) |
|
| idstn(x, type=2, s=None, axes=None, norm=None, overwrite_x=False, workers=None, orthogonalize=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) |
The inverse of `fftshift`. Although identical for even-length `x`, the [extrait de ifftshift.__doc__] |
| 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(target, real=False) |
Find the next fast size of input data to ``fft``, for zero-padding, etc. [extrait de next_fast_len.__doc__] |
| prev_fast_len(target, real=False) |
Find the previous fast size of input data to ``fft``. [extrait de prev_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, *, xp=None, device=None) |
Return the Discrete Fourier Transform sample frequencies [extrait de rfftfreq.__doc__] |
| 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, coerce=False, only=False, try_last=False) |
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) |
|
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