Update app.py

app.py

@@ -20,7 +20,7 @@ sidebar_option = st.sidebar.radio("Select an option",
                                   "Drawing: Multipartite Layout", "Drawing: Node Colormap",
                                   "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: Mayavi2"])
+                                  "Drawing: Weighted Graph"])
 
 # Helper function to draw and display graph
 def draw_graph(G, pos=None, title="Graph Visualization"):
@@ -28,75 +28,6 @@ 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 create_3d_graph(graph_type="cycle_graph", num_nodes=20):
-    if graph_type == "cycle_graph":
-        G = nx.cycle_graph(num_nodes)
-    elif graph_type == "kite_graph":
-        G = nx.krackhardt_kite_graph()
-    elif graph_type == "grid_graph":
-        G = nx.grid_2d_graph(4, 5)
-    else:
-        G = nx.Graph()
-        G.add_edge('a', 'b')
-        G.add_edge('a', 'c')
-        G.add_edge('a', 'd')
-
-    # Reorder nodes from 0 to len(G) - 1
-    G = nx.convert_node_labels_to_integers(G)
-
-    # 3D spring layout
-    pos = nx.spring_layout(G, dim=3, seed=1001)
-    xyz = np.array([pos[v] for v in sorted(G)])
-    scalars = np.array(list(G.nodes())) + 5
-
-    mlab.figure(size=(800, 600), bgcolor=(1, 1, 1))
-
-    pts = mlab.points3d(
-        xyz[:, 0],
-        xyz[:, 1],
-        xyz[:, 2],
-        scalars,
-        scale_factor=0.1,
-        scale_mode="none",
-        colormap="Blues",
-        resolution=20,
-    )
-
-    pts.mlab_source.dataset.lines = np.array(list(G.edges()))
-    tube = pipeline.tube(pts, tube_radius=0.01)
-    pipeline.surface(tube, color=(0.8, 0.8, 0.8))
-    mlab.orientation_axes()
-
-    # Save to temporary file
-    with TemporaryDirectory() as temp_dir:
-        file_path = os.path.join(temp_dir, "graph.png")
-        mlab.savefig(file_path)
-        mlab.close()
-        return file_path
-
-if sidebar_option == "3D Drawing: Mayavi2":
-    st.title("3D Drawing: Mayavi2")
-
-    st.sidebar.subheader("Graph Settings")
-    graph_type = st.sidebar.selectbox(
-        "Select Graph Type", ["cycle_graph", "kite_graph", "grid_graph", "custom"]
-    )
-
-    if graph_type == "cycle_graph":
-        num_nodes = st.sidebar.slider("Number of Nodes", min_value=3, max_value=50, value=20)
-        file_path = create_3d_graph(graph_type, num_nodes=num_nodes)
-    elif graph_type == "grid_graph":
-        st.sidebar.write("Grid graph is preconfigured as a 4x5 grid.")
-        file_path = create_3d_graph(graph_type)
-    elif graph_type == "kite_graph":
-        st.sidebar.write("Krackhardt kite graph is preconfigured.")
-        file_path = create_3d_graph(graph_type)
-    elif graph_type == "custom":
-        st.sidebar.write("Custom graph example with predefined edges.")
-        file_path = create_3d_graph(graph_type)
-
-    st.image(file_path, caption="3D Graph Visualization", use_container_width=True)
-
 # Function to display Weighted Graph
 def display_weighted_graph():
     st.title("Drawing: Weighted Graph")