Update app.py

app.py

@@ -21,7 +21,7 @@ sidebar_option = st.sidebar.radio("Select an option",
                                   "Drawing: Rainbow Coloring", "Drawing: Random Geometric Graph","Drawing: Self-loops",
                                   "Drawing: Simple Path", "Drawing: Spectral Embedding", "Drawing: Traveling Salesman Problem",
                                   "Drawing: Weighted Graph", "3D Drawing: Animations of 3D Rotation", "3D Drawing: Basic Matplotlib",
-                                  "Graph: DAG - Topological Layout"])
+                                  "Graph: DAG - Topological Layout", "Graph: Erdos Renyi"])
 
 # Helper function to draw and display graph
 def draw_graph(G, pos=None, title="Graph Visualization"):
@@ -29,6 +29,75 @@ def draw_graph(G, pos=None, title="Graph Visualization"):
     nx.draw(G, pos=pos, with_labels=True, node_color='lightblue', node_size=500, font_size=10, font_weight='bold')
     st.pyplot(plt)
 
+def erdos_renyi_graph():
+    st.title("Graph: Erdos Renyi")
+
+    # Sidebar selection for Default Example or Custom Graph
+    graph_mode = st.radio(
+        "Choose a Mode:",
+        ("Default Example", "Create Your Own"),
+        help="Default example shows a random graph, or you can create your own Erdos-Renyi graph."
+    )
+
+    if graph_mode == "Default Example":
+        # Default random graph parameters
+        n = 10  # 10 nodes
+        m = 20  # 20 edges
+        seed = 20160  # seed random number generators for reproducibility
+
+        # Create random graph
+        G = nx.gnm_random_graph(n, m, seed=seed)
+
+        # Display node properties
+        st.write("### Node Degree and Clustering Coefficient")
+        for v in nx.nodes(G):
+            st.write(f"Node {v}: Degree = {nx.degree(G, v)}, Clustering Coefficient = {nx.clustering(G, v)}")
+
+        # Display adjacency list
+        st.write("### Adjacency List")
+        adj_list = "\n".join([line for line in nx.generate_adjlist(G)])
+        st.text(adj_list)
+
+        # Visualize the graph
+        pos = nx.spring_layout(G, seed=seed)  # Seed for reproducible layout
+        fig, ax = plt.subplots()
+        nx.draw(G, pos=pos, ax=ax, with_labels=True, node_color="skyblue", edge_color="gray")
+        ax.set_title("Erdos-Renyi Random Graph")
+        st.pyplot(fig)
+
+    elif graph_mode == "Create Your Own":
+        st.write("### Create Your Own Random Erdos-Renyi Graph")
+
+        # Allow user to input the number of nodes and edges
+        n = st.number_input("Number of nodes (n)", min_value=2, value=10)
+        m = st.number_input("Number of edges (m)", min_value=1, value=20)
+
+        seed = st.number_input("Seed", value=20160)
+
+        # Create random graph
+        G = nx.gnm_random_graph(n, m, seed=seed)
+
+        # Display node properties
+        st.write("### Node Degree and Clustering Coefficient")
+        for v in nx.nodes(G):
+            st.write(f"Node {v}: Degree = {nx.degree(G, v)}, Clustering Coefficient = {nx.clustering(G, v)}")
+
+        # Display adjacency list
+        st.write("### Adjacency List")
+        adj_list = "\n".join([line for line in nx.generate_adjlist(G)])
+        st.text(adj_list)
+
+        # Visualize the graph
+        pos = nx.spring_layout(G, seed=seed)  # Seed for reproducible layout
+        fig, ax = plt.subplots()
+        nx.draw(G, pos=pos, ax=ax, with_labels=True, node_color="skyblue", edge_color="gray")
+        ax.set_title("Erdos-Renyi Random Graph")
+        st.pyplot(fig)
+
+# Display the corresponding page based on sidebar option
+if sidebar_option == "Graph: Erdos Renyi":
+    erdos_renyi_graph()
+
 def dag_topological_layout():
     st.title("Graph: DAG - Topological Layout")