skrf.networkSet.NetworkSet.sel

NetworkSet.sel(indexers=None)[source]

Select Network(s) in the NetworkSet from a given value of a parameter.

Parameters:: indexers (dict, optional) – A dict with keys matching dimensions and values given by scalars, or arrays of parameters. Default is None, which returns the entire NetworkSet
Returns:: ns – NetworkSet containing the selected Networks or empty NetworkSet if no match found
Return type:: NetworkSet

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)

Selecting the sub-NetworkSet matching scalar parameters:

>>> ns.sel({'a': 1})  # len == 2
>>> ns.sel({'a': 0, 'X': 10})  # len == 1

Selectong the sub-NetworkSet matching a range of parameters:

>>> ns.sel({'a': 0, 'X': [10,20]})  # len == 2
>>> ns.sel({'a': [0,1], 'X': [10,20]}) # len == 4

If using a parameter name of value that does not exist, returns empty NetworkSet:

>>> ns.sel({'a': -1})  # len == 0
>>> ns.sel({'duh': 0})  # len == 0