Use when driving scikit-rf (Python RF / microwave network analysis library) via Python scripts — Touchstone (.s2p / .snp) I/O, S-parameter network manipulation, transmission-line and ABCD-matrix media, calibration (SOLT / TRL), time-gating, plotting on Smith chart — through sim runtime one-shot execution.
You are connected to scikit-rf via sim-cli.
scikit-rf (Arsenovic et al.) is the standard Python library for RF /
microwave engineering: S-parameter network algebra, Touchstone I/O,
transmission line theory, calibration, time-gating, statistical
analysis. Pure Python + NumPy/SciPy/matplotlib. Pip-installable
(pip install scikit-rf); imported as import skrf as rf.
Scripts are plain .py:
import skrf as rf
ntwk = rf.Network('measured.s2p') # 2-port S-parameters
print(ntwk.s.shape, ntwk.f.shape) # (n_freq, 2, 2), (n_freq,)
ntwk_db = 20 * np.log10(np.abs(ntwk.s))
Same subprocess driver mode as PyBaMM / Cantera / CoolProp.
| Path | What's there |
|---|---|
base/reference/workflow.md | Frequency → media → Network → cascade → analyze. |
base/reference/networks.md| Network class, S/Z/Y/T/ABCD conversions, slicing. |
base/reference/media.md | DefinedGammaZ0, CPW, Coaxial, RectangularWaveguide. |
base/reference/calibration.md | OnePort, SOLT, TRL calibration setups. |
base/snippets/01_loads.py | Verified short / open / match E2E. |
base/known_issues.md | Touchstone format quirks, indexing convention, complex S. |
sdk/1/notes.md — version-specific surface notes.rf.Frequency(start, stop, n, unit)
to construct from GHz/MHz). Plot-time conversions handled separately.(n_freq, n_ports, n_ports).
Don't mix .s_db (dB magnitude) with raw .s (complex).ntwk.s[:, 0, 0] is S11)
but 1-based in port labels for cascade/connect.[float(z.real), float(z.imag)].sim check scikit_rf..py per base/reference/workflow.md.sim lint script.py.sim run script.py --solver scikit_rf.