Create toDo.py

toDo.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+import matplotlib.lines as mlines
+import numpy as np
+
+def newline(p1, p2):
+    ax = plt.gca()
+    xmin, xmax = ax.get_xbound()
+
+    if(p2[0] == p1[0]):
+        xmin = xmax = p1[0]
+        ymin, ymax = ax.get_ybound()
+    else:
+        ymax = p1[1]+(p2[1]-p1[1])/(p2[0]-p1[0])*(xmax-p1[0])
+        ymin = p1[1]+(p2[1]-p1[1])/(p2[0]-p1[0])*(xmin-p1[0])
+
+    l = mlines.Line2D([xmin,xmax], [ymin,ymax])
+    ax.add_line(l)
+    return l
+
+df = pd.read_excel(r'input2.xlsx')
+
+w1 =0
+w2 =0
+w3 =0
+dw1 = 0
+dw2 = 0
+dw3 = 0
+teta = 0.2
+alpha = 1
+y = 0
+changed = False
+x1 = df['x'].tolist()
+x2 = df['y'].tolist()
+x3 = df['t'].tolist()
+sizeOfData = 4
+
+while (changed == False):
+    for i in range(0,sizeOfData):
+        if (teta < w1 * x1[i] + w2 * x2[i] * w3):
+            y = 1
+        if (-teta <= w1 * x1[i] + w2 * x2[i] * w3 <= teta):
+            y = 0
+        if (-teta > w1 * x1[i] + w2 * x2[i] * w3):
+            y = -1
+        if (y != x3[i]):
+            dw1 = alpha * x3[i] * x1[i]
+            dw2 = alpha * x3[i] * x2[i]
+            dw3 = alpha * x3[i]
+        else:
+            dw1 = 0
+            dw2 = 0
+            dw3 = 0  
+        print (dw1,dw2,dw3)
+    changed = True
+
+#x = np.linspace(0,10)
+#y = x**2
+#p1 = [1,20]
+#p2 = [6,70]
+#newline(p1,p2)
+#plt.plot(x, y)
+
+#plt.show()