scipy tutorial - Baustatik-Info-Server

See Also:
Returns
y : ndarray
Axes over which to calculate. Defaults to None, which shifts all axes.
The shifted array.
fftshift
Shift zero-frequency component to the center of the spectrum.
Examples
>>> freqs = np.fft.fftfreq(9, d=1./9).reshape(3, 3)
>>> freqs
array([[ 0., 1., 2.],
[ 3., 4., -4.],
[-3., -2., -1.]])
>>> np.fft.ifftshift(np.fft.fftshift(freqs))
array([[ 0., 1., 2.],
[ 3., 4., -4.],
[-3., -2., -1.]])
rfftfreq(n, d=1.0)
rfftfreq(n, d=1.0) -> f
DFT sample frequencies (for usage with rfft,irfft).
SciPy Reference Guide, Release 0.8.dev
The returned float array contains the frequency bins in cycles/unit (with zero at the start) given a window length
n and a sample spacing d:
f = [0,1,1,2,2,...,n/2-1,n/2-1,n/2]/(d*n) if n is even f = [0,1,1,2,2,...,n/2-1,n/2-1,n/2,n/2]/(d*n) if n is
odd
3.3.4 Convolutions (scipy.fftpack.convolve)
convolve convolve - Function signature:
convolve_z convolve_z - Function signature:
init_convolution_kernel init_convolution_kernel - Function signature:
destroy_convolve_cache destroy_convolve_cache - Function signature:
convolve
convolve - Function signature:
y = convolve(x,omega,[swap_real_imag,overwrite_x])
Required arguments:
x : input rank-1 array(‘d’) with bounds (n) omega : input rank-1 array(‘d’) with bounds (n)
Optional arguments:
overwrite_x := 0 input int swap_real_imag := 0 input int
Return objects:
y : rank-1 array(‘d’) with bounds (n) and x storage
convolve_z
3.3. Fourier transforms (scipy.fftpack) 175