Update app.py

app.py

@@ -85,6 +85,7 @@ cdf_values = F_BCNOLLN(y1, y2, mu1, sigma1, alpha1, beta1, mu2, sigma2, alpha2,
 #ax.set_xlabel('y1')
 #ax.set_ylabel('y2')
 
+st.subheader('PDF Plot')
 
 # Create a 3D contour plot with Plotly
 fig = go.Figure(data=[go.Surface(z=pdf_values, x=y1, y=y2, colorscale='Viridis')])
@@ -98,16 +99,36 @@ fig.update_layout(title='BCNOLLN PDF 3D Contour Plot', autosize=True,
 # Display the plot in Streamlit
 st.plotly_chart(fig)
 
+# Create a 2D contour plot for PDF
+fig_pdf = go.Figure(data=go.Contour(z=pdf_values, x=y1, y=y2, colorscale='Viridis'))
+fig_pdf.update_layout(title='BCNOLLN PDF 2D Contour Plot', autosize=True,
+                      xaxis_title='y1', yaxis_title='y2')
+
+# Display the PDF plot in Streamlit
+st.plotly_chart(fig_pdf)
+
+
+st.subheader('CDF Plot')
+
 # Create a 3D contour plot with Plotly
 fig = go.Figure(data=[go.Surface(z=cdf_values, x=y1, y=y2, colorscale='Viridis')])
 fig.update_layout(title='BCNOLLN CDF 3D Contour Plot', autosize=True,
                   scene=dict(
                       xaxis_title='y1',
                       yaxis_title='y2',
-                      zaxis_title='PDF'
+                      zaxis_title='CDF'
                   ))
 
 # Display the plot in Streamlit
 st.plotly_chart(fig)
 
+
+# Create a 2D contour plot for CDF
+fig_cdf = go.Figure(data=go.Contour(z=cdf_values, x=y1, y=y2, colorscale='Viridis'))
+fig_cdf.update_layout(title='BCNOLLN CDF 2D Contour Plot', autosize=True,
+                      xaxis_title='y1', yaxis_title='y2')
+
+# Display the CDF plot in Streamlit
+st.plotly_chart(fig_cdf)
+
 #st.pyplot(fig)