Is there a simpler Way to construct frequency components after FFT? I am computing the FFT of a signal and normalizing it as follows: import numpy as np from scipy.fftpack import fft # By calculating FFT... Y = fft(y) / n # FFT computing and normalization # Constructing a new list with one-sided frequency range Y = [Y[0]] + [2 * Y for i in range(1, n//2)] This works correctly, but I initially attempted a more compact form: Y = [Y[0]] + [2 * Y[range(1, n//2)]] # This does NOT work which will actually increase to 2D instead of concatenating indices from 0 to 1:n//2. My question is: Is there a simpler or more Pythonic way to achieve this one-sided frequency range construction? Ideally, something cleaner than my working solution while maintaining efficiency. Continue reading...