draw vertical time

data/draw.py

@@ -810,7 +810,7 @@ def read_data():
     array_def_notif = []
     array_nodef_infect = []
 
-    for i in range(1, 2):
+    for i in range(1, 3):
         file_path = "measurement-" + str(i) + ".txt"
         # Read the contents of the file
         with open(file_path, 'r') as file:
@@ -861,25 +861,39 @@ def plot(number_pc):
         lower_bounds.append(min(x))
         upper_bounds.append(max(x))
 
-    # plt.plot(lower_bounds, [i for i in range(int(number_pc))], linestyle='dashed', label='Lower Bound')
-    # plt.plot(upper_bounds, [i for i in range(int(number_pc))], linestyle='dashed', label='Upper Bound')
-    plt.plot(average, [i for i in range(int(number_pc))])
-    # plt.fill_betweenx(range(len(average)), lower_bounds, upper_bounds, color='gray', alpha=0.3)
-    plt.errorbar(average, [i for i in range(int(number_pc))],
-                 xerr=[[average[i] - lower_bounds[i] for i in range(len(lower_bounds))], [upper_bounds[i] - average[i] for i in range(len(upper_bounds))]], color='orange',
+    # # # plt.plot(lower_bounds, [i for i in range(int(number_pc))], linestyle='dashed', label='Lower Bound')
+    # # # plt.plot(upper_bounds, [i for i in range(int(number_pc))], linestyle='dashed', label='Upper Bound')
+    # # plt.plot(average, [i for i in range(int(number_pc))])
+    # # # plt.fill_betweenx(range(len(average)), lower_bounds, upper_bounds, color='gray', alpha=0.3)
+    # # plt.errorbar(average, [i for i in range(int(number_pc))],
+    # #              xerr=[[average[i] - lower_bounds[i] for i in range(len(lower_bounds))], [upper_bounds[i] - average[i] for i in range(len(upper_bounds))]], color='orange',
+    # #              capsize=7, linestyle='', fmt='o', ecolor='black', label='Average')
+    # #
+    # # printMean(x_values[-1])
+    # # # print(f"Confidence interval: {mean} and {margin_of_error}")
+    # # plt.ylabel('Number of PCs', fontsize=18)
+    # # plt.xlabel('Time (s)', fontsize=18)
+    # plt.subplots_adjust(left=0.045, right=0.995, top=0.995, bottom=0.070)
+    # # plt.ylim(1)
+    # plt.xticks(fontsize=18)
+    # plt.yticks(pc_number_values, [i for i in range(int(number_pc))], linestyle='dashed', label='Lower Bound')
+
+    plt.plot([i for i in range(int(number_pc))], average)
+    plt.errorbar([i for i in range(int(number_pc))], average,
+                 yerr=[[average[i] - lower_bounds[i] for i in range(len(lower_bounds))], [upper_bounds[i] - average[i] for i in range(len(upper_bounds))]], color='orange',
                  capsize=7, linestyle='', fmt='o', ecolor='black', label='Average')
-
-    printMean(x_values[-1])
-    # print(f"Confidence interval: {mean} and {margin_of_error}")
-    plt.ylabel('Number of PCs', fontsize=18)
-    plt.xlabel('Time (s)', fontsize=18)
+    plt.xlabel('Number of PCs', fontsize=18)
+    plt.ylabel('Time (s)', fontsize=18)
     plt.subplots_adjust(left=0.045, right=0.995, top=0.995, bottom=0.070)
-    # plt.ylim(1)
-    plt.xticks(fontsize=18)
-    plt.yticks(pc_number_values, [str(i) for i in pc_number_values], fontsize=18)
+    plt.yticks(fontsize=18)
+    plt.xticks(pc_number_values, [str(i) for i in pc_number_values], fontsize=18)
 
+    attack_stop_time = 0
+    for i in range(len(array_def_notif)):
+        attack_stop_time += array_def_notif[i][0][2] - array_def_infect[i][0][0]
+        
     attack_stop_time = array_def_notif[0][0][2] - array_def_infect[0][0][0]
-    plt.axvline(x=attack_stop_time, color='red', linestyle='--', label="Attack Stopped")
+    plt.axhline(y=attack_stop_time, color='red', linestyle='--', label="Attack Stopped")
     plt.legend(fontsize=18)