Update app.py
Browse files
app.py
CHANGED
@@ -85,7 +85,7 @@ cdf_values = F_BCNOLLN(y1, y2, mu1, sigma1, alpha1, beta1, mu2, sigma2, alpha2,
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#ax.set_xlabel('y1')
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#ax.set_ylabel('y2')
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st.subheader('PDF Plot')
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# Create a 3D contour plot with Plotly
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fig = go.Figure(data=[go.Surface(z=pdf_values, x=y1, y=y2, colorscale='Viridis')])
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@@ -99,16 +99,19 @@ fig.update_layout(title='BCNOLLN PDF 3D Contour Plot', autosize=True,
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# Display the plot in Streamlit
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st.plotly_chart(fig)
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# Create a 2D contour plot for PDF
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# Display the PDF plot in Streamlit
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st.
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st.subheader('CDF Plot')
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# Create a 3D contour plot with Plotly
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fig = go.Figure(data=[go.Surface(z=cdf_values, x=y1, y=y2, colorscale='Viridis')])
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@@ -122,13 +125,15 @@ fig.update_layout(title='BCNOLLN CDF 3D Contour Plot', autosize=True,
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# Display the plot in Streamlit
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st.plotly_chart(fig)
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#
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fig_cdf.update_layout(title='BCNOLLN CDF 2D Contour Plot', autosize=True,
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xaxis_title='y1', yaxis_title='y2')
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# Display the CDF plot in Streamlit
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st.plotly_chart(fig_cdf)
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#st.pyplot(fig)
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#ax.set_xlabel('y1')
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#ax.set_ylabel('y2')
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st.subheader('Results for PDF Plot')
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# Create a 3D contour plot with Plotly
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fig = go.Figure(data=[go.Surface(z=pdf_values, x=y1, y=y2, colorscale='Viridis')])
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# Display the plot in Streamlit
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st.plotly_chart(fig)
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# Create a 2D contour plot for PDF using Matplotlib
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fig_2d, ax = plt.subplots()
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cp = ax.contourf(y1, y2, pdf_values, cmap='viridis')
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fig_2d.colorbar(cp)
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ax.set_title('BCNOLLN PDF 2D Contour Plot')
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ax.set_xlabel('y1')
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ax.set_ylabel('y2')
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# Display the PDF plot in Streamlit using Matplotlib
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st.pyplot(fig_2d)
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st.subheader('Results for CDF Plot')
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# Create a 3D contour plot with Plotly
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fig = go.Figure(data=[go.Surface(z=cdf_values, x=y1, y=y2, colorscale='Viridis')])
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# Display the plot in Streamlit
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st.plotly_chart(fig)
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# Create a 2D contour plot for PDF using Matplotlib
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fig_2d, ax = plt.subplots()
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cp = ax.contourf(y1, y2, cdf_values, cmap='viridis')
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fig_2d.colorbar(cp)
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ax.set_title('BCNOLLN PDF 2D Contour Plot')
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ax.set_xlabel('y1')
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ax.set_ylabel('y2')
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# Display the PDF plot in Streamlit using Matplotlib
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st.pyplot(fig_2d)
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#st.pyplot(fig)
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