python - How do I plot FFT in Numpy -

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This seems like a very simple question, yet I could not find any documents for it.

I have an image in Nampee, and I want to do imshow the FFT.

I can just do it 

  F = fft (myimg)) Imshow (f)   
 I do not do this in Namie Because the F complex is valuable. Trying to do  imshow (real (f))  gives me an all black image - I'm guessing because 0. [0,1] instead of 0. 0 Multiplying by 255 also does not fix this issue.  
 How to get my plot any idea?  
  Update:   
 Okay, Nattan told me how I was simplifying this problem wrongly. Allow me slightly backwards I have a video matrix of dimensions (200, 30, 30, 3). For every color channel of 200 frames, 30x30 pixels, 3 color channels for each pixel, I want to calculate the fft of that pixel in time in the series. This should give me a new matrix that is (20030303,3) for each pixel, in each color channel, a 200-dim floating fourier conversion of each pixel. So I should be able to see the image created by the values ​​of the first coefficient of Fourier in each pixel.  
 Note that matlab fft is running on the first nonnationalington dimension, so  F = fft (video)  what I'm doing is doing it.  
 
 
 Here is an example for a 2D image that is used for SPP:  
  import sepie import fftpack import numpy as np import Take the Fourier conversion of pylab # image as import. F1 = fftpack.fft2 (myimg) #Change now so that the low spatial frequency is in the center. F2 = fftpack.fftshift (F1) # 2D power spectrum is: psd2d = np.abs (F2) ** 2 # plot power spectrum pie.figger (1) py.clf () py.imshow (psf2d) py. Show ()   
 You can look for 1D trace and example ...

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