diff --git a/examples/interactive_example.py b/examples/interactive_example.py
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+++ b/examples/interactive_example.py
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+#This example is inspired from my severe usage of MATLAB overlay plotting where I plot on a figure and based on its distribution/look I do some operation in backend like moving the image to another directory etc
+import numpy as np
+import matplotlib.pyplot as plt
+
+def main():
+    plt.ion() #Turining interactive mode on
+    fig,ax = plt.subplots()
+    for i in range(3):
+        x=np.random.randn(100) #plotting points
+        ax.plot(x)
+        ax.set_xlabel('Index')
+        ax.set_ylabel('Value')
+        y=input("Shall we do internal operation on this?")
+        if (y=='y'): # input y if we want to do operation in backend
+            print("Yes performing operation")
+        ax.cla() #Clearning axes here else it will overlap on previous plot. This is required sometimes based on your req
+
+
+main()