def plot_z_fitpar(fig: plt.figure, fit_par: str, img_id: int, channel: int,
led_arrays: Union[Tuple[int, ...], int]) -> None:
"""plots the height of a LED array against one fit parameter"""
# make led_arrays a tuple
if type(led_arrays) == int:
led_arrays = (led_arrays,)
fit_parameters = calc.read_hdf(channel)
fit_parameters = calc.include_column_if_nonexistent(fit_parameters, fit_par, channel)
fit_parameters = fit_parameters.loc[img_id, :]
ax = fig.gca(xlabel=fit_par, ylabel='height/m')
for line in led_arrays:
plot, = ax.plot(np.array(fit_parameters[fit_parameters['line'] == line][fit_par]),
np.array(fit_parameters[fit_parameters['line'] == line]['height']))
plot.set_label(f'LED_Array{line}, C{channel}')
ax.legend()
plt.title(f'Plot of fit parameter {fit_par} against the height.\n'
f'Image: {img_id}')
