Update app.py
Browse files
app.py
CHANGED
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@@ -10,7 +10,8 @@ sidebar_option = st.sidebar.radio("Select an option",
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"Basic: Read and write graphs", "Basic: Simple graph",
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"Basic: Simple graph Directed", "Drawing: Custom Node Position",
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"Drawing: Cluster Layout", "Drawing: Degree Analysis",
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"Drawing: Ego Graph", "Drawing: Eigenvalues"])
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# Helper function to draw and display graph
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def draw_graph(G, pos=None, title="Graph Visualization"):
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@@ -18,6 +19,103 @@ def draw_graph(G, pos=None, title="Graph Visualization"):
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nx.draw(G, pos=pos, with_labels=True, node_color='lightblue', node_size=500, font_size=10, font_weight='bold')
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st.pyplot(plt)
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# Function to display Eigenvalue analysis for Drawing: Eigenvalues
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def display_eigenvalue_analysis():
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st.title("Drawing: Eigenvalues")
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"Basic: Read and write graphs", "Basic: Simple graph",
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"Basic: Simple graph Directed", "Drawing: Custom Node Position",
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"Drawing: Cluster Layout", "Drawing: Degree Analysis",
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"Drawing: Ego Graph", "Drawing: Eigenvalues", "Drawing: Four Grids"])
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# Helper function to draw and display graph
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def draw_graph(G, pos=None, title="Graph Visualization"):
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nx.draw(G, pos=pos, with_labels=True, node_color='lightblue', node_size=500, font_size=10, font_weight='bold')
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st.pyplot(plt)
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# Function to display Four Grids visualization for Drawing: Four Grids
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def display_four_grids():
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st.title("Drawing: Four Grids")
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option = st.radio("Choose a graph type:", ("Default Example", "Create your own"))
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if option == "Default Example":
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# Generate a 4x4 grid graph
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G = nx.grid_2d_graph(4, 4) # 4x4 grid
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pos = nx.spring_layout(G, iterations=100, seed=39775)
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# Create a 2x2 subplot
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fig, all_axes = plt.subplots(2, 2)
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ax = all_axes.flat
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# Draw graphs in 4 different styles
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nx.draw(G, pos, ax=ax[0], font_size=8)
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nx.draw(G, pos, ax=ax[1], node_size=0, with_labels=False)
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nx.draw(
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G,
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pos,
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ax=ax[2],
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node_color="tab:green",
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edgecolors="tab:gray", # Node surface color
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edge_color="tab:gray", # Color of graph edges
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node_size=250,
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with_labels=False,
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width=6,
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)
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H = G.to_directed()
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nx.draw(
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H,
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pos,
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ax=ax[3],
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node_color="tab:orange",
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node_size=20,
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with_labels=False,
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arrowsize=10,
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width=2,
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)
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# Set margins for the axes so that nodes aren't clipped
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for a in ax:
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a.margins(0.10)
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fig.tight_layout()
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st.pyplot(fig)
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elif option == "Create your own":
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# Allow the user to customize the grid dimensions
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rows = st.number_input("Number of rows:", min_value=2, max_value=20, value=4)
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cols = st.number_input("Number of columns:", min_value=2, max_value=20, value=4)
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if st.button("Generate"):
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# Generate a custom grid graph
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G_custom = nx.grid_2d_graph(rows, cols) # Create the grid graph
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pos = nx.spring_layout(G_custom, iterations=100, seed=39775)
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# Create a 2x2 subplot
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fig, all_axes = plt.subplots(2, 2)
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ax = all_axes.flat
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# Draw graphs in 4 different styles
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nx.draw(G_custom, pos, ax=ax[0], font_size=8)
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nx.draw(G_custom, pos, ax=ax[1], node_size=0, with_labels=False)
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nx.draw(
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G_custom,
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pos,
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ax=ax[2],
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node_color="tab:green",
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edgecolors="tab:gray", # Node surface color
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edge_color="tab:gray", # Color of graph edges
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node_size=250,
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with_labels=False,
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width=6,
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)
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H = G_custom.to_directed()
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nx.draw(
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H,
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pos,
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ax=ax[3],
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node_color="tab:orange",
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node_size=20,
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with_labels=False,
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arrowsize=10,
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width=2,
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)
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# Set margins for the axes so that nodes aren't clipped
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for a in ax:
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a.margins(0.10)
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fig.tight_layout()
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st.pyplot(fig)
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# Display Drawing: Four Grids if selected
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if sidebar_option == "Drawing: Four Grids":
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display_four_grids()
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# Function to display Eigenvalue analysis for Drawing: Eigenvalues
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def display_eigenvalue_analysis():
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st.title("Drawing: Eigenvalues")
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