This is documentation for an old release of SciPy (version 1.8.1). Read this page in the documentation of the latest stable release (version 1.14.1).
scipy.signal.bode#
- scipy.signal.bode(system, w=None, n=100)[source]#
Calculate Bode magnitude and phase data of a continuous-time system.
- Parameters
- systeman instance of the LTI class or a tuple describing the system.
The following gives the number of elements in the tuple and the interpretation:
1 (instance of
lti
)2 (num, den)
3 (zeros, poles, gain)
4 (A, B, C, D)
- warray_like, optional
Array of frequencies (in rad/s). Magnitude and phase data is calculated for every value in this array. If not given a reasonable set will be calculated.
- nint, optional
Number of frequency points to compute if w is not given. The n frequencies are logarithmically spaced in an interval chosen to include the influence of the poles and zeros of the system.
- Returns
- w1D ndarray
Frequency array [rad/s]
- mag1D ndarray
Magnitude array [dB]
- phase1D ndarray
Phase array [deg]
Notes
If (num, den) is passed in for
system
, coefficients for both the numerator and denominator should be specified in descending exponent order (e.g.s^2 + 3s + 5
would be represented as[1, 3, 5]
).New in version 0.11.0.
Examples
>>> from scipy import signal >>> import matplotlib.pyplot as plt
>>> sys = signal.TransferFunction([1], [1, 1]) >>> w, mag, phase = signal.bode(sys)
>>> plt.figure() >>> plt.semilogx(w, mag) # Bode magnitude plot >>> plt.figure() >>> plt.semilogx(w, phase) # Bode phase plot >>> plt.show()