calibration latency plot update

gstlal-calibration/tests/check_calibration/latency_plot.py

@@ -78,7 +78,6 @@ if t_start % common_dt:
 if t_end % common_dt:
 	t_end = t_end - t_end % common_dt
 
-t_end = t_end - 1800
 # Make a time vector
 dur = t_end - t_start
 gps_time = numpy.arange(0, dur + common_dt / 2, common_dt)
@@ -108,13 +107,13 @@ for i in range(0, len(intimes)):
 		latency[i].append(outtimes[i][outtimes_start_index + j * out_step][1] - intimes[i][intimes_start_index + j * in_step][1])
 
 # Make the plot
-colors = ['indigo', 'darkmagenta', 'orchid', 'cyan', 'g', 'm', 'y', 'r']
+colors = ['blue', 'limegreen', 'orchid', 'cyan', 'g', 'm', 'y', 'r']
 markersize = 150.0 / numpy.sqrt(len(intimes[0]))
 markersize = min(markersize, 8.0)
 markersize = max(markersize, 1.0)
 plt.figure(figsize = (10, 6))
 if len(labels[0]):
-	plt.plot(gps_time, latency[0], colors[0], linestyle = 'None', marker = '.', markersize = markersize, label = r'${\rm %s}$' % labels[0].replace(':', '{:}').replace('-', '\mbox{-}').replace('_', '\_').replace(' ', '\ '))
+	plt.plot(gps_time, latency[0], colors[0], linestyle = 'None', marker = '.', markersize = markersize, label = r'${\rm %s \ }[\mu = %0.2f \, {\rm s}, \sigma = %0.2f \, {\rm s}]$' % (labels[0].replace(':', '{:}').replace('-', '\mbox{-}').replace('_', '\_').replace(' ', '\ '), numpy.mean(latency[0]), numpy.std(latency[0])))
 	leg = plt.legend(fancybox = True, loc = 'upper right', markerscale = 8.0 / markersize, numpoints = 3)
 	leg.get_frame().set_alpha(0.8)
 else:
@@ -123,12 +122,12 @@ if len(options.plot_title):
 	plt.title(options.plot_title)
 plt.ylabel(r'${\rm Latency \ [s]}$')
 plt.xlabel(r'${\rm Time \ in \ %s \ since \ %s \ UTC}$' % (t_unit, time.strftime("%b %d %Y %H:%M:%S".replace(':', '{:}').replace('-', '\mbox{-}').replace(' ', '\ '), time.gmtime(t_start + 315964782))))
-plt.ylim(0, 18)
+plt.ylim(0, 5)
 plt.grid(True, which = "both", linestyle = ':', linewidth = 0.3, color = 'black')
 
 for i in range(1, len(intimes)):
 	if len(labels) > 1:
-		plt.plot(gps_time, latency[i], colors[i % len(colors)], linestyle = 'None', marker = '.', markersize = markersize, label = r'${\rm %s}$' % labels[i].replace(':', '{:}').replace('-', '\mbox{-}').replace('_', '\_').replace(' ', '\ '))
+		plt.plot(gps_time, latency[i], colors[i % len(colors)], linestyle = 'None', marker = '.', markersize = markersize, label = r'${\rm %s \ }[\mu = %0.2f \, {\rm s}, \sigma = %0.2f \, {\rm s}]$' % (labels[i].replace(':', '{:}').replace('-', '\mbox{-}').replace('_', '\_').replace(' ', '\ '), numpy.mean(latency[i]), numpy.std(latency[i])))
 		leg = plt.legend(fancybox = True, loc = 'upper right', markerscale = 8.0 / markersize, numpoints = 3)
 		leg.get_frame().set_alpha(0.8)
 	else: