ooragan.plot_triptych#

ooragan.plot_triptych(freq: ArrayLike, complex_data: ArrayLike, resonator_fitter: ResonatorFitter | None = None, freq_unit: Literal['GHz', 'MHz', 'kHz'] = 'GHz', title: str | None = None, three_ticks: bool = False, figure_style: str | Inherit = Inherit) → SmartFigure[source]#

Plots the magnitude vs frequency, the phase vs frequency and the complex data in a single figure.

Parameters:

freqArrayLike: Frequency array.
complexArrayLike: Complex data array.
resonator_fitterResonatorFitter, optional: Fit result from the resonator library. Defaults to None.

Note

If a ResonatorFitter is provided, the fit and the resonance frequency obtained from the fit are displayed.
freq_unit{“GHz”, “MHz”, “kHz”}, optional: Unit in which the frequency is given. Defaults to "GHz".
titlestr, optional: Title of the figure. Defaults to None.
three_ticksbool, optional: If True, only three ticks will be displayed on the x axis: the minimum frequency, the maximum and the frequency. Defaults to False.
figure_stylestr or Inherit, optional: GraphingLib figure style to apply to the plot. See here for more info.

Examples

import numpy as np
from ooragan import plot_triptych

# Generate data from theoretical model
def S21(f, Q, Qc, f0):
    return 1 - (Q / Qc) / (1 + 2j * Q * (f - f0) / f0)

Q = 85000
Qc = 100000
f0 = 6.5e9
tau = 0.0000001
a = 1
alpha = 0
phi = 0
frequency = np.linspace(6.4995e9, 6.5005e9, 5001)

fig = plot_triptych(
    frequency,
    S21(frequency, Q, Qc, f0),
)
fig.show()

(Source code, png, hires.png, pdf)