Initialize piNail project with modern piNail2 web controller

LiveGraph_2.py

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+import matplotlib.pyplot as plt
+import matplotlib.animation as animation
+import time
+
+fig = plt.figure()
+ax1 = fig.add_subplot(1, 1, 1)
+plt.gca().set_prop_cycle(color = ['red', 'blue', 'green', 'lightblue'])
+plt.subplots_adjust(left = .05, right = .99, top =1, bottom =.05)
+log_directory = './log_piNail.txt'
+plt.xscale('linear')
+
+def animate(i):
+    pullData = open(log_directory, 'r')
+    dataArray = pullData.readlines()
+    temp_y = [ ]
+    setpoint_y = [ ]
+    output_y = [ ]
+    relay_y = [ ]
+    xar = [ ]
+    c_del_index = 0
+
+    ##print(len(dataArray))
+    if len(dataArray) > 300: #only keep x lines in the log file
+        f = open(log_directory, 'w+') #Create a new log file, overwritting the previous one
+        f.close()
+        
+    for eachLine in dataArray[len(dataArray)-500: ]: #Only read the last x lines
+        if len(eachLine) > 1:
+            c_temp_y, c_setpoint_y, c_output_y, c_relay_y, c_xar= eachLine.split(', ')
+            temp_y.append(float(c_temp_y))
+            setpoint_y.append(float(c_setpoint_y))
+            output_y.append(float(c_output_y))
+            relay_y.append(int(c_relay_y))
+            xar.append(float(c_xar))
+            ax1.set_xlim([float(c_xar) - 500000 ,float(c_xar) + 2000])
+
+    ax1.plot(xar, temp_y, linewidth = .2)
+    ax1.plot(xar, setpoint_y, linewidth = .2)
+    ax1.plot(xar, output_y, linewidth = .2)
+    ax1.plot(xar, relay_y)
+    
+ani = animation.FuncAnimation(fig, animate, interval = 500)
+plt.show()
+