diff --git a/Assets/Temporal_Graph/Bitcoin/Bitcoin_Code_Visualisation/Bitcoin_code_visualisation.py b/Assets/Temporal_Graph/Bitcoin/Bitcoin_Code_Visualisation/Bitcoin_code_visualisation.py
new file mode 100644
index 0000000000000000000000000000000000000000..c87f74e708f46e6bed63682caa13382c0e4bac6c
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+++ b/Assets/Temporal_Graph/Bitcoin/Bitcoin_Code_Visualisation/Bitcoin_code_visualisation.py
@@ -0,0 +1,40 @@
+####################################################################################################################
+
+# Program Name : code_visualisation.py 
+# Description  : Python code for Temporal Graph Visualisation
+# Author       : Mohamed Feroz Khan and Ramaguru sir
+# Created Date : 14-Dec-2022
+# Last Updated : 13-April-2023
+# Execution    : Python code_visualisation.py
+####################################################################################################################
+
+import networkx as nx
+import matplotlib.pyplot as plt
+import pandas as pd
+import pathpy as pp
+
+# Given Dataset
+
+df=pd.read_excel('Fraud_BCT_BTC.xlsx')
+t = pp.TemporalNetwork()
+
+[t.add_edge(df['Target address'][i],df['receiving address'][i],int(df['time'][i])) for i in range(len(df))]
+
+# style for the node
+
+style = {    
+  'ts_per_frame': 1, 
+  'ms_per_frame': 2000,
+  'look_ahead': 2, 
+  'look_behind': 2, 
+  'node_size': 15, 
+  'inactive_edge_width': 2,
+  'active_edge_width': 4, 
+  'label_color' : '#706f6f',
+  'label_size' : '24px',
+  'label_offset': [0,5]
+  }
+
+# Visualisation for the given dataset
+
+pp.visualisation.export_html(t, 'my_temporal_network_sample_sicp.html', **style)
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