Update app.py

app.py

@@ -148,4 +148,44 @@ ax.set_ylabel('y2')
 # Display the PDF plot in Streamlit using Matplotlib
 st.pyplot(fig_2d)
 
+# Create a 2D contour plot for PDF using Matplotlib
+fig_2d, ax = plt.subplots()
+cp = ax.contourf(y1, y2, cdf_values, cmap='viridis')
+fig_2d.colorbar(cp)
+ax.set_title('BCNOLLN CDF 2D Contour Plot')
+ax.set_xlabel('y1')
+ax.set_ylabel('y2')
+
+# Display the PDF plot in Streamlit using Matplotlib
+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',
+            ),
+        )
+    )
+)
+
+# Update layout of the figure
+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.pyplot(fig)