nd their
    interpretation:

        * 1: `lti` system: (`StateSpace`, `TransferFunction` or
          `ZerosPolesGain`)
        * 3: array_like: (zeros, poles, gain)

See Also
--------
TransferFunction, StateSpace, lti
zpk2ss, zpk2tf, zpk2sos

Notes
-----
Changing the value of properties that are not part of the
`ZerosPolesGain` system representation (such as the `A`, `B`, `C`, `D`
state-space matrices) is very inefficient and may lead to numerical
inaccuracies.  It is better to convert to the specific system
representation first. For example, call ``sys = sys.to_ss()`` before
accessing/changing the A, B, C, D system matrices.

Examples
--------
Construct the transfer function
:math:`H(s)=\frac{5(s - 1)(s - 2)}{(s - 3)(s - 4)}`:

>>> from scipy import signal

>>> signal.ZerosPolesGain([1, 2], [3, 4], 5)
ZerosPolesGainContinuous(
array([1, 2]),
array([3, 4]),
5,
dt: None
)

Nc