Circuit: Touchstone file management

This example shows how you can use objects in a Touchstone file without opening AEDT.

To provide the advanced postprocessing features needed for this example, Matplotlib and NumPy must be installed on your machine.

This example runs only on Windows using CPython.

Perform required imports

Perform required imports and set the local path to the path for PyAEDT.

from pyaedt import downloads

example_path = downloads.download_touchstone()

Import libraries and Touchstone file

Import Matplotlib, NumPy, and the Touchstone file.

from pyaedt.generic.touchstone_parser import read_touchstone

Read Touchstone file

Read the Touchstone file.

data = read_touchstone(example_path)

Get curve plot

Get the curve plot by category. The following code shows how to plot lists of the return losses, insertion losses, fext, and next based on a few inputs and port names.

data.plot_return_losses()

data.plot_insertion_losses()

data.plot_next_xtalk_losses("U1")

data.plot_fext_xtalk_losses(tx_prefix="U1", rx_prefix="U7")

True

Get curve worst cases

Get curve worst cases.

worst_rl, global_mean = data.get_worst_curve(
    freq_min=1, freq_max=20, worst_is_higher=True, curve_list=data.get_return_loss_index()
)
worst_il, mean2 = data.get_worst_curve(freq_min=1,
                                       freq_max=20,
                                       worst_is_higher=False,
                                       curve_list=data.get_insertion_loss_index()
                                       )
worst_fext, mean3 = data.get_worst_curve(freq_min=1,
                                         freq_max=20,
                                         worst_is_higher=True,
                                         curve_list=data.get_fext_xtalk_index_from_prefix(tx_prefix="U1",
                                                                                          rx_prefix="U7")
                                         )
worst_next, mean4 = data.get_worst_curve(
    freq_min=1, freq_max=20, worst_is_higher=True, curve_list=data.get_next_xtalk_index("U1")
)