skrf.data.ind

skrf.data.ind = 2-Port Network: 'ind', 1000000000.0-10000000000.0 Hz, 10 pts, z0=[50.+0.j 50.+0.j]

An n-port electrical network.

For instructions on how to create Network see __init__(). An n-port network [1] may be defined by three quantities * network parameter matrix (s, z, or y-matrix) * port characteristic impedance matrix * frequency information

The Network class stores these data structures internally in the form of complex numpy.ndarray’s. These arrays are not interfaced directly but instead through the use of the properties:

Property	Meaning
`s`	Scattering parameter matrix.
`z0`	Characteristic impedance matrix.
`f`	Frequency vector.

Although these docs focus on s-parameters, other equivalent network representations such as z and y are available. Scalar projections of the complex network parameters are accessible through properties as well. These also return numpy.ndarray’s.

Property	Meaning
`s_re`	Real part of the s-matrix.
`s_im`	Imaginary part of the s-matrix.
`s_mag`	Magnitude of the s-matrix.
`s_db`	Magnitude in log scale of the s-matrix.
`s_deg`	Phase of the s-matrix in degrees.

The following operations act on the networks s-matrix.

Operator	Function
+	Element-wise addition of the s-matrix.
-	Element-wise difference of the s-matrix.
*	Element-wise multiplication of the s-matrix.
/	Element-wise division of the s-matrix.
**	Cascading (only for 2-ports).
//	De-embedding (for 2-ports, see `inv`).

Different components of the Network can be visualized through various plotting methods. These methods can be used to plot individual elements of the s-matrix or all at once. For more info about plotting see the ../../tutorials/Plotting tutorial.

Method	Meaning
`plot_s_smith()`	Plot complex s-parameters on smith chart.
`plot_s_re()`	Plot real part of s-parameters vs frequency.
`plot_s_im()`	Plot imaginary part of s-parameters vs frequency.
`plot_s_mag()`	Plot magnitude of s-parameters vs frequency.
`plot_s_db()`	Plot magnitude (in dB) of s-parameters vs frequency.
`plot_s_deg()`	Plot phase of s-parameters (in degrees) vs frequency.
`plot_s_deg_unwrap()`	Plot phase of s-parameters (in unwrapped degrees) vs frequency.

Network objects can be created from a touchstone or pickle file (see __init__()), by a Media object, or manually by assigning the network properties directly. Network objects can be saved to disk in the form of touchstone files with the write_touchstone() method.

An exhaustive list of Network Methods and Properties (Attributes) are given below

References