# scipy.signal.bode¶

scipy.signal.bode(system, w=None, n=100)[source]

Calculate bode magnitude and phase data of a continuous-time system.

New in version 0.11.0.

Parameters : system : an instance of the LTI class or a tuple describing the system. The following gives the number of elements in the tuple and the interpretation: 2 (num, den) 3 (zeros, poles, gain) 4 (A, B, C, D) w : array_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. n : int, optional Number of frequency points to compute if w is not given. The n frequencies are logarithmically spaced in the range from two orders of magnitude before the minimum (slowest) pole to two orders of magnitude after the maximum (fastest) pole. w : 1D ndarray Frequency array [rad/s] mag : 1D ndarray Magnitude array [dB] phase : 1D ndarray Phase array [deg]

Examples

```>>> from scipy import signal
>>> import matplotlib.pyplot as plt
```
```>>> s1 = signal.lti([1], [1, 1])
>>> w, mag, phase = signal.bode(s1)
```
```>>> plt.figure()
>>> plt.semilogx(w, mag)    # bode magnitude plot
>>> plt.figure()
>>> plt.semilogx(w, phase)  # bode phase plot
>>> plt.show()
```

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