skrf.util.dict_2_recarray

skrf.util.dict_2_recarray(d, delim, dtype)[source]

Turn a dictionary of structured keys to a record array of objects.

This is useful if you save data-base like meta-data in the form or file-naming conventions, aka ‘the poor-mans database’

Parameters:

d (dict) – dictionnary of structured keys
delim (str) – delimiter string
dtype (list of tuple) – list of type, where a type is tuple like (‘type_name’, type)

Returns:

ra

Return type:

numpy.array

Examples

Given a directory of networks like:

>>> ls
a1,0.0,0.0.s1p    a1,3.0,3.0.s1p    a2,3.0,-3.0.s1p   b1,-3.0,3.0.s1p
...

you can sort based on the values or each field, after defining their type with dtype. The values field accesses the objects.

>>> d = rf.read_all_networks('/tmp/')
>>> delim = ','
>>> dtype = [('name', object), ('voltage', float), ('current', float)]
>>> ra = dict_2_recarray(d=rf.ran(dir), delim=delim, dtype =dtype)

then you can sift like you do with numpy arrays

>>> ra[ra['voltage'] < 3]['values']
array([1-Port Network: 'a2,0.0,-3.0',  450-800 GHz, 101 pts, z0=[ 50.+0.j],
       1-Port Network: 'b1,0.0,3.0',  450-800 GHz, 101 pts, z0=[ 50.+0.j],
       1-Port Network: 'a1,0.0,-3.0',  450-800 GHz, 101 pts, z0=[ 50.+0.j],