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# scipy.signal.step2

`scipy.signal.``step2`(system, X0=None, T=None, N=None, **kwargs)

  Step response of continuous-time system.

  This function is functionally the same as `scipy.signal.step`, but it uses the function `scipy.signal.lsim2` to compute the step response.

  Parameters: | system : an 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) X0 : array_like, optional Initial state-vector (default is zero). T : array_like, optional Time points (computed if not given). N : int, optional Number of time points to compute if T is not given. kwargs : various types Additional keyword arguments are passed on the function `scipy.signal.lsim2`, which in turn passes them on to `scipy.integrate.odeint`. See the documentation for `scipy.integrate.odeint` for information about these arguments.
  Returns: | T : 1D ndarray Output time points. yout : 1D ndarray Step response of system.

  See also

  `scipy.signal.step`

  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 0.8.0.