Update app.py

app.py

@@ -160,32 +160,32 @@ ax.set_ylabel('y2')
 st.pyplot(fig_2d)
 
 # Create a Plotly figure for the 2D contour plot
-fig_2d_plotly = go.Figure(data=
-    go.Contour(
-        z=cdf_values, 
-        x=y1,  # Corresponds to Y1's axis values
-        y=y2,  # Corresponds to Y2's axis values
-        colorscale='Viridis',
-        contours=dict(
-            coloring ='heatmap',  # Use 'heatmap' for a filled contour plot
-            showlabels = True,  # Show labels on contours
-            labelfont = dict(  # Label font properties
-                size = 12,
-                color = 'white',
-            ),
-        )
-    )
-)
+#fig_2d_plotly = go.Figure(data=
+#    go.Contour(
+#        z=cdf_values, 
+#        x=y1,  # Corresponds to Y1's axis values
+#        y=y2,  # Corresponds to Y2's axis values
+#        colorscale='Viridis',
+#        contours=dict(
+#            coloring ='heatmap',  # Use 'heatmap' for a filled contour plot
+#            showlabels = True,  # Show labels on contours
+#            labelfont = dict(  # Label font properties
+#                size = 12,
+#                color = 'white',
+#            ),
+#        )
+#    )
+#)
 
 # Update layout of the figure
-fig_2d_plotly.update_layout(
-    title='BCNOLLN CDF 2D Contour Plot',
-    xaxis_title='y1',
-    yaxis_title='y2',
-    autosize=True,
-)
+#fig_2d_plotly.update_layout(
+#    title='BCNOLLN CDF 2D Contour Plot',
+#    xaxis_title='y1',
+#    yaxis_title='y2',
+#    autosize=True,
+#)
 
 # Display the plot in Streamlit
-st.plotly_chart(fig_2d_plotly)
+#st.plotly_chart(fig_2d_plotly)
 
 #st.pyplot(fig)