Show standard deviation in %.

rt_analyzer/analyze.py

@@ -64,6 +64,7 @@ for line in lines_list[1:]:
 channel0_mean = statistics.mean(timestamp_channel0_delta_list)
 channel0_median = statistics.median(timestamp_channel0_delta_list)
 channel0_stdev = statistics.stdev(timestamp_channel0_delta_list)
+channel0_stdev_percentile = (channel0_stdev*100)/channel0_median
 try:
   channel0_mode = statistics.mode(timestamp_channel0_delta_list)
 except statistics.StatisticsError:
@@ -74,6 +75,7 @@ channel0_max = max(timestamp_channel0_delta_list)
 channel1_mean = statistics.mean(timestamp_channel1_delta_list)
 channel1_median = statistics.median(timestamp_channel1_delta_list)
 channel1_stdev = statistics.stdev(timestamp_channel1_delta_list)
+channel1_stdev_percentile = (channel1_stdev*100)/channel1_median
 try:
   channel1_mode = statistics.mode(timestamp_channel1_delta_list)
 except statistics.StatisticsError:
@@ -91,6 +93,7 @@ print("\tMedian = ", channel0_median)
 print("\tMin =    ", channel0_min)
 print("\tMax =    ", channel0_max)
 print("\tStandart deviation = ", channel0_stdev)
+print("\tStandart deviation (%) = ", channel0_stdev_percentile)
 print("\tMode (most occurencies) = ", channel0_mode)
 
 print("\nChannel1 (in seconds):")
@@ -99,6 +102,7 @@ print("\tMedian = ", channel1_median)
 print("\tMin =    ", channel1_min)
 print("\tMax =    ", channel1_max)
 print("\tStandart deviation = ", channel1_stdev)
+print("\tStandart deviation (%) = ", channel1_stdev_percentile)
 print("\tMode (most occurencies) = ", channel1_mode)