read

read.py

+import matplotlib.pyplot as plt
+import matplotlib.animation as animation
+import numpy as np
+import time
+
+fig = plt.figure()
+
+def animate(i):
+    pullData = open("text.txt","r").read()
+    dataArray = pullData.split('\n')
+    xar = []
+    yar = []
+    for eachLine in dataArray:
+        if len(eachLine)>1:
+            x,y = eachLine.split(',')
+            xar.append(float(x))
+            yar.append(float(y))
+    
+    mur=plt.plot(xar,yar)
+    
+    y_corr=np.correlate(yar,yar,mode='full')
+    
+    plt.subplot(2,1,1)
+    plt.stem(xar,yar)
+    plt.title('Actual Graph')
+    
+    plt.subplot(2,1,2)
+    plt.stem(y_corr,maxlags=11)
+    plt.title('Correlated Distance')
+ani = animation.FuncAnimation(fig, animate, interval=1000)
+plt.show()