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# numpy.fft.fftfreq

`numpy.fft.``fftfreq`(n, d=1.0)

  Discrete Fourier Transform sample frequencies.

  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,...,n/2-1,-n/2,...,-1]/(d*n)         if n is even
      f = [0,1,...,(n-1)/2,-(n-1)/2,...,-1]/(d*n)   if n is odd

  Parameters: | n : int Window length. d : scalar Sample spacing.
  Returns: | out : ndarray, shape(n,) Sample frequencies.

  Examples

      >>> signal = np.array([-2.,  8., -6.,  4.,  1., 0.,  3.,  5.])
      >>> fourier = np.fft.fft(signal)
      >>> n = len(signal)
      >>> timestep = 0.1
      >>> freq = np.fft.fftfreq(n, d=timestep)
      >>> freq
      array([ 0.  ,  1.25,  2.5 ,  3.75, -5.  , -3.75, -2.5 , -1.25])

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