Given the following code: import numpy as np x = np.random.random(size=2**14) y = x.copy() z = np.concatenate([x[np.newaxis], y[np.newaxis]], axis=0) print(np.all(np.fft.fft(z, axis=-1)[0] == np.fft.fft(z[0])))
On Windows 7 using Anaconda with numpy 1.9.1 I get False (indicating that the FFT is not treating each row separately). When I test on a Ubuntu box using numpy 1.9.1 I get True. Is this expected behavior? If I understand the documentation correctly, the FFT on each row should be independent (i.e. the result should not be influenced by the other rows). Brad
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