decimal fix

app.py

@@ -593,11 +593,11 @@ def runapp() -> None:
             grouped_df['Entry Date'] = pd.to_datetime(grouped_df['Entry Date'])
             grouped_df['Exit Date'] = pd.to_datetime(grouped_df['Exit Date'])
             if bot_selections == "Pure Bread":  
-                st.dataframe(grouped_df.style.format({'Entry Date':'{:%m-%d-%Y %H:%M:%S}','Exit Date':'{:%m-%d-%Y %H:%M:%S}','Avg. Buy Price': '${:.5f}', 'Sell Price': '${:.5f}', 'Net P/L':'${:.2f}', 'P/L %':'{:.2f}%'})\
+                st.dataframe(grouped_df.style.format({'Entry Date':'{:%m-%d-%Y %H:%M:%S}','Exit Date':'{:%m-%d-%Y %H:%M:%S}','Buy Price': '${:.5f}', 'Sell Price': '${:.5f}', 'Net P/L':'${:.2f}', 'P/L %':'{:.2f}%'})\
                 .applymap(my_style,subset=['Net P/L'])\
                 .applymap(my_style,subset=['P/L %']), use_container_width=True)
             else: 
-                st.dataframe(grouped_df.style.format({'Entry Date':'{:%m-%d-%Y %H:%M:%S}','Exit Date':'{:%m-%d-%Y %H:%M:%S}','Buy Price': '${:.2f}', 'Sell Price': '${:.2f}', 'Net P/L':'${:.2f}', 'P/L %':'{:.2f}%'})\
+                st.dataframe(grouped_df.style.format({'Entry Date':'{:%m-%d-%Y %H:%M:%S}','Exit Date':'{:%m-%d-%Y %H:%M:%S}','Avg. Buy Price': '${:.2f}', 'Sell Price': '${:.2f}', 'Net P/L':'${:.2f}', 'P/L %':'{:.2f}%'})\
                 .applymap(my_style,subset=['Net P/L'])\
                 .applymap(my_style,subset=['P/L %']), use_container_width=True)