for i, ival in enumerate(const_intervals):
part = data[key][ival[0]:ival[1]]
ex = (data["timestamp"][ival[1]] -
data["timestamp"][ival[0]]) / 2
x = data["timestamp"][ival[0]] + ex
y = np.mean(part)
ey = np.std(part)
print("%.3f±%.3f %.3f %i" % (y, ey, ex, ival[1] - ival[0]))
g4.SetPoint(i, x, y)
g4.SetPointError(i, ex, ey)
interval_mean.append(y)
interval_std.append(ey)
interval_inc.append(last_mean < y)
last_mean = y
g4.SetEditable(False)
g4.SetMarkerColor(4)
g4.SetMarkerStyle(21)
g4.Draw("P")
error_graphs.append(g4)
c1.Update()
if len(interval_std) > 0:
print("Mean of all STD values: %0.3f" % (np.mean(interval_std)))
#img = TImage.Create()
#img.FromPad(c1)
#img.WriteImage("canvas.png")
#sort the interval values according to their mean values