features = [x for x in df.columns if x.find(lab) != -1 and x.find('-1') == -1] data_list_to_fft = np.fft.fft(np.array(df[features])[0]) data_list_to_fft = data_list ...
np.fft.fft returns type np.complex128 regardless of input type. If the input type is np.complex64 returning a complex128 array can have a huge effect on system memory and type casting back with ...
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