fixes plots in real_time

plots.py

@@ -14,6 +14,9 @@ def plot_fulldata(fulldata, axes=None, fig=None, save=False, output="fulldata.pn
     ax1.set_ylabel('Current (mA)')
     ax1.set_title('Current')
     line2, = ax2.plot(fulldata[:, 2], fulldata[:, 1], '.-', label='Voltage [mV]',alpha=.5)
+    if plot_ads:
+        line3, = ax2.plot(fulldata[:, 2], fulldata[:, 3], '.-', label='Voltage U0 [mV]', alpha=.5)
+        line4, = ax2.plot(fulldata[:, 2], fulldata[:, 4], '.-', label='Voltage U2 [mV]', alpha=.5)
     ax2.set_xlabel('Time (s)')
     ax2.set_ylabel('Voltage (mV)')
     ax2.set_title('Voltage')
@@ -30,21 +33,29 @@ def plot_fulldata(fulldata, axes=None, fig=None, save=False, output="fulldata.pn
     if realtime:
         fig.canvas.draw()
         fig.canvas.flush_events()
-        return fig, (ax1,ax2), (line1,line2)
+        if plot_ads:
+           return fig, (ax1,ax2), (line1,line2)
+        else:
+            return fig, (ax1, ax2), (line1, line2, line3, line4)
     else:
         return fig, (ax1, ax2)
 
 
 def update_realtime_fulldata_plot(last_measurement, acquired_dataset, lines, axes, fig, x_window=10, plot_ads=False):
-    (line1, line2) = lines
     (ax1,ax2) = axes
     t = np.append(acquired_dataset[:,2], last_measurement[:, 2][~np.isnan(last_measurement[:, 2])] + acquired_dataset[:,2][-1])
     i_rt = np.append(acquired_dataset[:,0], last_measurement[:, 0][~np.isnan(last_measurement[:, 2])])
     u_rt = np.append(acquired_dataset[:,1], last_measurement[:, 1][~np.isnan(last_measurement[:, 2])])
-    line1.set_ydata(i_rt)
-    line1.set_xdata(t)
-    line2.set_ydata(u_rt)
-    line2.set_xdata(t)
+    lines[0].set_ydata(i_rt)
+    lines[0].set_xdata(t)
+    lines[1].set_ydata(u_rt)
+    lines[1].set_xdata(t)
+    if plot_ads:
+        lines[2].set_ydata(u_rt)
+        lines[2].set_xdata(t)
+        lines[3].set_ydata(u_rt)
+        lines[3].set_xdata(t)
+
     ax1.relim()
     ax2.relim()
     ax1.autoscale_view(scalex=False)
@@ -55,4 +66,4 @@ def update_realtime_fulldata_plot(last_measurement, acquired_dataset, lines, axe
     fig.canvas.draw()
     fig.canvas.flush_events()
     
-    return fig,(ax1,ax2), (line1,line2), np.array([i_rt,u_rt,t]).T
\ No newline at end of file
+    return fig,(ax1,ax2), lines, np.array([i_rt,u_rt,t]).T
\ No newline at end of file