added NetworkX tutorial script

2023-round-2/Schefflera-Arboricola/nx_tutorial_script.py

@@ -0,0 +1,30 @@
+import networkx as nx
+import matplotlib.pyplot as plt
+
+# Creating a NetworkX DiGraph (Directed Graph) object
+G=nx.DiGraph()
+
+# Adding nodes of different types
+nodes = [1, 'A', (3, 4), 'B', 5, 'C', (6, 7), 8, 'D', 'E']
+
+G.add_nodes_from(nodes)
+
+# Adding multiple edges between nodes
+edges = [(1, 'A'), ('A', (3, 4)), ('A', 5), ((3, 4), 'B'), (5, 'B'), ('B', 8), (8, 'C'), ('C', 'D'), ('D', 'E'), ('E', 1)]
+
+G.add_edges_from(edges)
+
+# Finding the shortest path between all pairs of nodes
+shortest_paths=dict(nx.all_pairs_shortest_path(G))
+
+# Printing the shortest paths
+for source_node, paths in shortest_paths.items():
+    for target_node,path in paths.items():
+        if source_node!=target_node:
+            print("Shortest path from node",source_node, "to node",target_node, "is : ", path)
+
+# Plotting the graph using networkx.draw
+pos=nx.spring_layout(G)
+nx.draw(G, pos, with_labels=True, node_size=500)
+plt.title('Directed Graph')
+plt.show()