edges_cal.cal_coefficients.CalibrationObservation.plot_calibrated_temp

CalibrationObservation.plot_calibrated_temp(load: Load | str, bins: int = 2, fig=None, ax=None, xlabel=True, ylabel=True, label: str = '', as_residuals: bool = False, load_in_title: bool = False, rms_in_label: bool = True)[source]

Make a plot of calibrated temperature for a given source.

Parameters:

  • load (LoadSpectrum instance) – Source to plot.

  • bins (int) – Number of bins to smooth over (std of Gaussian kernel)

  • fig (Figure) – Optionally provide a matplotlib figure to add to.

  • ax (Axis) – Optionally provide a matplotlib Axis to add to.

  • xlabel (bool) – Whether to write the x-axis label

  • ylabel (bool) – Whether to write the y-axis label

Returns:

fig – The matplotlib figure that was created.