def _mean_f(f,energy_list_arr,q_interp):
means = []
for i, energy_list in enumerate(energy_list_arr):
_, splines = RetinalUtil.interpolating_G0(energy_list,
f=f)
mean, _ = PlotUtil._mean_and_stdev_landcapes(splines, q_interp)
means.append(mean)
return means
def _get_error_landscapes(q_interp, energy_list_arr, **kw):
landscpes_with_error = []
for i, energy_list in enumerate(energy_list_arr):
_, splines = RetinalUtil.interpolating_G0(energy_list)
beta = energy_list[0].beta
mean, stdev = PlotUtil._mean_and_stdev_landcapes(splines, q_interp)
mean -= min(mean)
l = LandscapeWithError(q_nm=q_interp,
G_kcal=mean,
G_err_kcal=stdev,
beta=beta)
landscpes_with_error.append(l)
return landscpes_with_error
