`scipy.signal._ltisys:dlti.bode`

Signature

def bode ( self , 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.

from scipy import signal
import matplotlib.pyplot as plt

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

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

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Equivalent: signal.dbode(sys)

w, mag, phase = sys.bode()

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

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plt.show()

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