Finance, Python, Deep Learning, Analytics, Artificial Intelligence.
fft_df['fft'].apply(lambda x: np.angle(x)) # Plot the Fourier Transforms plt.figure(figsize=(14, 7), dpi=100) plt.plot(np.asarray(data_FT['Close'].tolist()), label='Real') for num_ in [3, 6, 9]: fft_list_m10= np.copy(close_fft); fft_list_m10[num_:-num_]=0 plt.plot(np.fft.ifft(fft_list_m10),