Update app.py

app.py

@@ -106,7 +106,7 @@ ax.clabel(contours, inline=True, fontsize=8, fmt='%.3f')  # Add labels to the co
 
 ax.set_xlabel('y1')
 ax.set_ylabel('y2')
-ax.set_title('BCEOLLN Distribution Contour Plot')
+ax.set_title('BCEOLLN PDF Distribution Contour Plot')
 
 # Display the plot in Streamlit
 st.pyplot(fig)
@@ -137,16 +137,14 @@ fig.update_layout(title='BCNOLLN CDF 3D Contour Plot', autosize=True,
 # Display the plot in Streamlit
 st.plotly_chart(fig)
 
-# 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 PDF 2D Contour Plot')
+# Create the contour plot
+fig, ax = plt.subplots()
+contours = ax.contour(y1, y2, cdf_values, levels=20)
+ax.clabel(contours, inline=True, fontsize=8, fmt='%.3f')  # Add labels to the contours
+
 ax.set_xlabel('y1')
 ax.set_ylabel('y2')
-
-# Display the PDF plot in Streamlit using Matplotlib
-st.pyplot(fig_2d)
+ax.set_title('BCEOLLN CDF Distribution Contour Plot')
 
 # Create a 2D contour plot for PDF using Matplotlib
 fig_2d, ax = plt.subplots()