Update app.py

app.py

@@ -15,7 +15,7 @@ sidebar_option = st.sidebar.radio("Select an option",
                                   "Drawing: House With Colors", "Drawing: Labels And Colors", 
                                   "Drawing: Multipartite Layout", "Drawing: Node Colormap",
                                   "Drawing: Rainbow Coloring", "Drawing: Random Geometric Graph","Drawing: Self-loops",
-                                  "Drawing: Simple Path"])
+                                  "Drawing: Simple Path", "Drawing: Spectral Embedding"])
 
 # Helper function to draw and display graph
 def draw_graph(G, pos=None, title="Graph Visualization"):
@@ -23,6 +23,68 @@ 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)
 
+# Function to display Drawing: Spectral Embedding
+def display_spectral_embedding():
+    st.title("Drawing: Spectral Embedding")
+
+    option = st.radio("Choose a graph type:", ("Default Example", "Create your own"))
+
+    if option == "Default Example":
+        # Default example of spectral embedding with a grid graph
+        options = {"node_color": "C0", "node_size": 100}
+        G = nx.grid_2d_graph(6, 6)
+
+        fig, axs = plt.subplots(3, 3, figsize=(12, 12))
+        axs = axs.flatten()
+        for i in range(7):
+            if i == 0:
+                nx.draw_spectral(G, **options, ax=axs[i])
+            elif i == 1:
+                G.remove_edge((2, 2), (2, 3))
+                nx.draw_spectral(G, **options, ax=axs[i])
+            elif i == 2:
+                G.remove_edge((3, 2), (3, 3))
+                nx.draw_spectral(G, **options, ax=axs[i])
+            elif i == 3:
+                G.remove_edge((2, 2), (3, 2))
+                nx.draw_spectral(G, **options, ax=axs[i])
+            elif i == 4:
+                G.remove_edge((2, 3), (3, 3))
+                nx.draw_spectral(G, **options, ax=axs[i])
+            elif i == 5:
+                G.remove_edge((1, 2), (1, 3))
+                nx.draw_spectral(G, **options, ax=axs[i])
+            elif i == 6:
+                G.remove_edge((4, 2), (4, 3))
+                nx.draw_spectral(G, **options, ax=axs[i])
+
+        st.pyplot(fig)
+
+    elif option == "Create your own":
+        # User can interactively modify the grid and see the results
+        grid_size = st.slider("Choose grid size (n x n):", min_value=3, max_value=10, value=6)
+        G_custom = nx.grid_2d_graph(grid_size, grid_size)
+
+        # Edge removal logic
+        removed_edges = st.multiselect("Choose edges to remove (e.g., (0, 0) to (0, 1)):", list(G_custom.edges))
+
+        # Remove selected edges
+        G_custom.remove_edges_from(removed_edges)
+
+        options = {"node_color": "C0", "node_size": 100}
+        fig, axs = plt.subplots(3, 3, figsize=(12, 12))
+        axs = axs.flatten()
+
+        # Visualize the modified graph
+        for i in range(7):
+            nx.draw_spectral(G_custom, **options, ax=axs[i])
+
+        st.pyplot(fig)
+
+# Display Drawing: Spectral Embedding if selected
+if sidebar_option == "Drawing: Spectral Embedding":
+    display_spectral_embedding()
+
 # Function to display Drawing: Simple Path
 def display_simple_path():
     st.title("Drawing: Simple Path")