Measurements

mc9.measure contains the measurements that every analog lab asks for. Each helper runs the MC9 analyses it needs.

from mc9 import measure

Helper	Returns
measure.bandwidth(c, "db(v(out)/v(in))", cursors=True)	Bandwidth(g0_db, f0, f_low, f_high); f_low / f_high are None for high-pass / low-pass. Optionally puts MC9's cursors on the edges.
measure.gain_at(c, "v(out)", "v(in)", 1e3)	{'mag', 'db', 'phase_deg'} at one frequency
measure.rin(c, "v(Ue)", "i(R1)", 2224)	input resistance |v/i| at a frequency
measure.rout(c, "v(Ua)", load="R4", f=2224)	output resistance by load removal (the load gets 1T temporarily and is restored)
measure.thd(c, 2224, "V1", 35e-3, "v(Ua)")	harmonic amplitudes, k_pct per harmonic, and thd_pct from a steady-state DFT
measure.solve(c, "R2", "RESISTANCE", lambda op: op["Q1"]["VCE"], target=9.5, lo=1e5, hi=1e6)	the part value that hits a target (bisection on the operating point; each step costs one MC9 start, about 25 s)

bw = measure.bandwidth(c, "db(v(Ua)/v(Ue))")
print(f"G0 = {bw.g0_db:.2f} dB, {bw.f_low:.1f} Hz .. {bw.f_high/1e3:.2f} kHz")

d = measure.thd(c, 2224, "V1", 35e-3, "v(Ua)")
print({k: round(v, 2) for k, v in d["k_pct"].items() if k <= 4}, d["thd_pct"])

Why THD is computed in Python

MC9's Distortion analysis shows correct plots but its numeric table is a corrupted FFT buffer under Wine, so measure.thd simulates a steady-state transient and takes a DFT over whole periods on an exact time grid. Use c.distortion(...) plus c.shot(...) when you need MC9's own HARM / IHD / THD figure.

Your own measurements

Everything is plain Python on Result objects:

r = c.transient(5e-3, 4e-3, points=2001, curves=["v(Ua)"])
gain = r.amplitude("v(Ua)") / 0.0035