skrf.networkSet.NetworkSet.interpolate_from_params

NetworkSet.interpolate_from_params(param, x, sub_params=None, interp_kind='linear')[source]

Interpolate a Network from given parameters of NetworkSet’s Networks.

Parameters:

param (string) – Name of the parameter to interpolate the NetworkSet with
x (float) – Point to evaluate the interpolated network at
sub_params (dict, optional) – Dictionnary of parameter/values to filter the NetworkSet, if necessary to avoid an ambiguity. Default is empty dict.
interp_kind (str) – Specifies the kind of interpolation as a string: ‘linear’, ‘nearest’, ‘zero’, ‘slinear’, ‘quadratic’, ‘cubic’. Cf scipy.interpolate.interp1d for detailed description. Default is ‘linear’.

Returns:

ntw – Network interpolated at x

Return type:

class:~skrf.network.Network

:raises ValueError : if the interpolating param/value are incorrect or ambiguous:

Example

Creating a dummy example:

>>> params = [
        {'a':0, 'X':10, 'c':'A'},
        {'a':1, 'X':10, 'c':'A'},
        {'a':2, 'X':10, 'c':'A'},
        {'a':1, 'X':20, 'c':'A'},
        {'a':0, 'X':20, 'c':'A'},
        ]
>>> freq1 = rf.Frequency(75, 110, 101, 'ghz')
>>> ntwks_params = [rf.Network(frequency=freq1,
                               s=np.random.rand(len(freq1),2,2),
                               name=f'ntwk_{m}',
                               comment=f'ntwk_{m}',
                               params=params)                                     for (m, params) in enumerate(params) ]
>>> ns = rf.NetworkSet(ntwks_params)

Interpolated Network for a=1.2 within X=10 Networks:

>>> ns.interpolate_from_params('a', 1.2, {'X': 10})