✨

src/make_graphs.py

@@ -1,49 +1,105 @@
 import matplotlib.pyplot as plt
 
-def laptop_single_listener():
-    plt.figure()
+plt.rcParams.update({'font.size':22})
+
+def single_listener():
+    fig, (ax1,ax2) = plt.subplots(1,2)
+
     x = [1,10,100,1000]
-    y1 = [0.00068,0.0047,0.045,00.63]
-    y2 = [0.00530,2.1000,7.200,17.00]
-    y3 = [0.00210,0.1800,0.860,05.60]
 
-    plt.plot(x, y2, label="Maximum")
-    plt.plot(x, y3, label="Average")
-    plt.plot(x, y1, label="Minimum")
+    y11 = [0.00068,0.0047,0.045,00.63]
+    y12 = [0.00530,2.1000,7.200,17.00]
+    y13 = [0.00210,0.1800,0.860,05.60]
 
-    plt.legend()
-    plt.grid()
+    ax1.plot(x, y12, label="Maximum", linewidth=5)
+    ax1.plot(x, y13, label="Average", linewidth=5)
+    ax1.plot(x, y11, label="Minimum", linewidth=5)
 
-    plt.xlabel("Event count")
-    plt.ylabel("Time (Laptop)")
+    ax1.legend()
+    ax1.grid(linewidth=2)
+    ax1.set_title("Laptop")
 
-    plt.xscale("log")
-    plt.yscale("log")
+    ax1.set_xlabel("Event count")
+    ax1.set_ylabel("Time")
 
-    plt.savefig("performance_results/laptop_single_listener.png")
+    ax1.set_xscale("log")
+    ax1.set_yscale("log")
+
+    ###
+
+    y21 = [0.0004,0.003,0.025,00.24]
+    y22 = [0.0022,1.000,2.200,16.00]
+    y23 = [0.0016,0.056,0.440,05.20]
+
+    ax2.plot(x, y22, label="Maximum", linewidth=5)
+    ax2.plot(x, y23, label="Average", linewidth=5)
+    ax2.plot(x, y21, label="Minimum", linewidth=5)
+
+    ax2.legend()
+    ax2.grid(linewidth=2)
+    ax2.set_title("Desktop")
+
+    ax2.set_xlabel("Event count")
+    ax2.set_ylabel("Time")
+
+    ax2.set_xscale("log")
+    ax2.set_yscale("log")
+
+    fig.set_figheight(12)
+    fig.set_figwidth(25)
+    fig.set_dpi(100)
+
+    fig.savefig("performance_results/single_listener.png")
+
+def multiple_listeners():
+    fig, (ax1,ax2) = plt.subplots(1,2)
 
-def laptop_multiple_listeners():
-    plt.figure()
     x = [1,10,100,1000]
-    y1 = [00.63,00.46,00.42,00.92]
-    y2 = [17.00,25.00,20.00,03.24]
-    y3 = [05.60,07.60,07.10,01.49]
 
-    plt.plot(x, y2, label="Maximum")
-    plt.plot(x, y3, label="Average")
-    plt.plot(x, y1, label="Minimum")
+    y11 = [00.63,00.46,00.42,00.92]
+    y12 = [17.00,25.00,20.00,03.24]
+    y13 = [05.60,07.60,07.10,01.49]
 
-    plt.legend()
-    plt.grid()
+    ax1.plot(x, y12, label="Maximum", linewidth=5)
+    ax1.plot(x, y13, label="Average", linewidth=5)
+    ax1.plot(x, y11, label="Minimum", linewidth=5)
 
-    plt.xlabel("Listener count")
-    plt.ylabel("Time (Laptop)")
+    ax1.legend()
+    ax1.grid(linewidth=2)
+    ax1.set_title("Laptop")
 
-    plt.xscale("log")
-    plt.yscale("log")
+    ax1.set_xlabel("Listener count")
+    ax1.set_ylabel("Time")
 
-    plt.savefig("performance_results/laptop_multiple_listeners.png")
+    ax1.set_xscale("log")
+    ax1.set_yscale("log")
+
+    ###
+
+    y21 = [00.24,00.24,00.25,0.38]
+    y22 = [16.00,19.00,10.00,0.42]
+    y23 = [05.20,04.00,01.00,0.4]
+
+    ax2.plot(x, y12, label="Maximum", linewidth=5)
+    ax2.plot(x, y13, label="Average", linewidth=5)
+    ax2.plot(x, y11, label="Minimum", linewidth=5)
+
+    ax2.legend()
+    ax2.grid(linewidth=2)
+    ax2.set_title("Desktop")
+
+    ax2.set_xlabel("Listener count")
+    ax2.set_ylabel("Time")
+
+    ax2.set_xscale("log")
+    ax2.set_yscale("log")
+
+    fig.set_figheight(12)
+    fig.set_figwidth(25)
+    fig.set_dpi(100)
+
+    fig.savefig("performance_results/multiple_listeners.png")
 
 if __name__ == "__main__":
-    laptop_single_listener()
-    laptop_multiple_listeners()
+    single_listener()
+    multiple_listeners()