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scipy.signal.dlti.

# bode

dlti.bode(w=None, n=100)

  Calculate Bode magnitude and phase data of a discrete-time system.

  Returns a 3-tuple containing arrays of frequencies [rad/s], magnitude [dB] and phase [deg]. See `dbode` for details.

  Examples

      >>> from scipy import signal
      >>> import matplotlib.pyplot as plt

  Construct the transfer function \(H(z) = \frac{1}{z^2 + 2z + 3}\) with sampling time 0.5s:

      >>> sys = signal.TransferFunction([1], [1, 2, 3], dt=0.5)

  Equivalent: signal.dbode(sys)

      >>> w, mag, phase = sys.bode()

      >>> plt.figure()
      >>> plt.semilogx(w, mag)    # Bode magnitude plot
      >>> plt.figure()
      >>> plt.semilogx(w, phase)  # Bode phase plot
      >>> plt.show()