December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How it works…
The following code shows some of these routines in action when applied to a checkerboard:
import numpyfrom scipy.fftpack import fft,fft2, fftshiftimport matplotlib.pyplot as pltB=numpy.ones((4,4)); W=numpy.zeros((4,4))signal = numpy.bmat("B,W;W,B")onedimfft = fft(signal,n=16)twodimfft = fft2(signal,shape=(16,16))plt.figure()plt.gray()plt.subplot(121,aspect='equal')plt.pcolormesh(onedimfft.real)plt.colorbar(orientation='horizontal')plt.subplot(122,aspect='equal')plt.pcolormesh(fftshift(twodimfft.real))plt.colorbar(orientation='horizontal')plt.show()
Note how the first four rows of the one-dimensional transform are equal (and so are the last four), while the two-dimensional transform (once shifted) presents a peak at the origin ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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