Did I find the right examples for you? yes no

# filter_design.zpk2tf

All Samples(8)  |  Call(5)  |  Derive(0)  |  Import(3)

```#

from filter_design import tf2zpk, zpk2tf, normalize
import numpy
from numpy import product, zeros, array, dot, transpose, ones, \
```
```            self.__dict__['zeros'], self.__dict__['poles'], \
self.__dict__['gain'] = args
self.__dict__['num'], self.__dict__['den'] = zpk2tf(*args)
self.__dict__['A'], self.__dict__['B'], \
self.__dict__['C'], \
```
```            self.__dict__[attr] = val
self.__dict__['num'], self.__dict__['den'] = \
zpk2tf(self.zeros,
self.poles, self.gain)
self.__dict__['A'], self.__dict__['B'], \
```

```#

from .filter_design import tf2zpk, zpk2tf, normalize, freqs
import numpy
from numpy import product, zeros, array, dot, transpose, ones, \
```
```            self._A, self._B, self._C, self._D = tf2ss(self.num, self.den)
if N == 3:
self._num, self._den = zpk2tf(self.zeros, self.poles, self.gain)
self._A, self._B, self._C, self._D = zpk2ss(self.zeros,
self.poles, self.gain)
```

```#

from filter_design import tf2zpk, zpk2tf, normalize
import numpy
from numpy import product, zeros, array, dot, transpose, ones, \
```
```            self.__dict__['zeros'], self.__dict__['poles'], \
self.__dict__['gain'] = args
self.__dict__['num'], self.__dict__['den'] = zpk2tf(*args)
self.__dict__['A'], self.__dict__['B'], \
self.__dict__['C'], \
```
```            self.__dict__[attr] = val
self.__dict__['num'], self.__dict__['den'] = \
zpk2tf(self.zeros,
self.poles, self.gain)
self.__dict__['A'], self.__dict__['B'], \
```