comparison python/timeline_view.py @ 2276:3004c6a5665c

timeline_view, timeline_view_movement: fix negative time issue (updated to new specification)

 plt.rc('font', **font)
 
 # Colormap for to cycle through
 colormap = ['b', 'r', 'g', 'c', 'm', 'y', 'k']
 
-# if enabled, x-axis shows time per audioholder, not total test time
-show_audioholder_time = True
-
 # bar height (<1 to avoid overlapping)
 bar_height = 0.6
 
 # figure size
 fig_width = 25

 for file in os.listdir(folder_name):
     if file.endswith(".xml"):
         tree = ET.parse(folder_name + '/' + file)
         root = tree.getroot()
         subject_id = file[:-4] # drop '.xml'
-        
-        time_offset = 0 # test starts at zero
         
         # ONE TIMELINE PER PAGE - make new plot per page
 
         # get list of all page names
         for audioholder in root.findall("./page"):   # iterate over pages

                     for event in listen_events:
                         # mark this plot as not empty
                         plot_empty = False
                     
                         # get testtime: start and stop
-                        start_time = float(event.find('testtime').get('start'))-time_offset
-                        stop_time  = float(event.find('testtime').get('stop'))-time_offset
+                        start_time = float(event.find('testtime').get('start'))
+                        stop_time  = float(event.find('testtime').get('stop'))
                         # event lines:
                         ax.plot([start_time, start_time], # x-values
                             [0, N_audioelements+1], # y-values
                             color='k'
                             )

                                 color=colormap[increment%len(colormap)] # colour
                             )
                         )
                         
                 increment+=1 # to next audioelement
-                
-            # subtract total audioholder length from subsequent audioholder event times
-            audioholder_time = audioholder.find("./metric/metricresult/[@id='testTime']")
-            if audioholder_time is not None and show_audioholder_time: 
-                time_offset = float(audioholder_time.text)
             
             if not plot_empty:
                 # set plot parameters
                 plt.title('Timeline ' + file + ": "+page_name)
                 plt.xlabel('Time [seconds]')

                 plt.ylim(0, N_audioelements+1)
             
                 #y-ticks: fragment IDs, top to bottom
                 plt.yticks(range(N_audioelements, 0, -1), audioelements_names) # show fragment names
 
-
                 #plt.show() # uncomment to show plot; comment when just saving
                 #exit()
             
                 plt.savefig(timeline_folder+subject_id+"-"+page_name+".pdf", bbox_inches='tight')
                 plt.close()