Anpassung des Print Befehls

Ausgabe des Bildes erfolgt nun auch mit der Stärke der Farbblindheitssimulation (von 0 bis 100%)

Code/Dyschromasie-Applikation.py

@@ -240,7 +240,8 @@ def simulate():
 
         T = tk.Text(SB.frame, height=1, width=15)
         T.grid(columnspan=5)
-        T.insert('current', "Deutranopie:")
+        print_string = "Deutranop(" + str(round(d.sim_faktor*100)) + "%)"
+        T.insert('current', print_string)
 
         conv_SimulationPic_deut = ImageTk.PhotoImage(image=PIL.Image.fromarray(display_array_deut))
         sim_pic_deut = tk.Label(SB.frame, image=conv_SimulationPic_deut)
@@ -252,7 +253,8 @@ def simulate():
 
         T = tk.Text(SB.frame, height=1, width=15)
         T.grid(columnspan=5)
-        T.insert('current', "Tritanopie:")
+        print_string = "Tritanop(" + str(round(t.sim_faktor * 100)) + "%)"
+        T.insert('current', print_string)
 
         conv_SimulationPic_tri = ImageTk.PhotoImage(image=PIL.Image.fromarray(display_array_tri))
         sim_pic_tri = tk.Label(SB.frame, image=conv_SimulationPic_tri)
@@ -264,7 +266,8 @@ def simulate():
 
         T = tk.Text(SB.frame, height=1, width=15)
         T.grid(columnspan=5)
-        T.insert('current', "Protanopie:")
+        print_string = "Protanop(" + str(round(p.sim_faktor * 100)) + "%)"
+        T.insert('current', print_string)
 
         conv_SimulationPic_pro = ImageTk.PhotoImage(image=PIL.Image.fromarray(display_array_pro))
         sim_pic_pro = tk.Label(SB.frame, image=conv_SimulationPic_pro)