update plot.py

plots.py

@@ -134,8 +134,8 @@ def ER(stock_df, choices):
     Bar_output['Assets'].append('Portfolio')
     Bar_output['Expected Annual Return'].append(ER_portfolio)
     fig = px.bar(Bar_output, x='Assets', y="Expected Annual Return",color='Assets') 
-    fig.update_layout(title_text = 'Annual Expected Return of the Assets and Portfolio',
-                      title_x=0.458)
+    #fig.update_layout(title_text = 'Annual Expected Return of the Assets and Portfolio',title_x=0.458)
+    st.subheader('Annual Expected Return of the Assets and Portfolio')
     st.plotly_chart(fig, use_container_width=True)
     
     return beta, cash_value_stocks
@@ -167,10 +167,7 @@ def display_heat_map(stock_df,choices):
     fig = px.imshow(price_correlation,text_auto=True, aspect="auto")
     # Displays the heatmap on streamlit
     st.write(fig)
-    # Creates a header for the correlation data
-    #st.subheader('Correlation Data')
-    # Displays the correlation data on streamlit
-    #st.dataframe(price_correlation)
+   
 
 #def display_portfolio_return(stock_df, choices):
     """Uses the stock dataframe and the chosen weights from choices to calculate and graph the historical cumulative portfolio return.