scipy.signal.
step#
- scipy.signal.step(system, X0=None, T=None, N=None)[source]#
- Step response of continuous-time system. - Parameters:
- systeman instance of the LTI class or a tuple of array_like
- 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) 
 
- X0array_like, optional
- Initial state-vector (default is zero). 
- Tarray_like, optional
- Time points (computed if not given). 
- Nint, optional
- Number of time points to compute if T is not given. 
 
- Returns:
- T1D ndarray
- Output time points. 
- yout1D ndarray
- Step response of system. 
 
 - 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 + 5would be represented as- [1, 3, 5]).- Examples - >>> from scipy import signal >>> import matplotlib.pyplot as plt >>> lti = signal.lti([1.0], [1.0, 1.0]) >>> t, y = signal.step(lti) >>> plt.plot(t, y) >>> plt.xlabel('Time [s]') >>> plt.ylabel('Amplitude') >>> plt.title('Step response for 1. Order Lowpass') >>> plt.grid() 