Update app.py

app.py

@@ -52,8 +52,6 @@ if option:
 
 
 
-df2 = pd.read_csv('df.csv')
-
 
 def convert_str_to_list_or_keep(value):
     if isinstance(value, str):
@@ -65,7 +63,6 @@ def convert_str_to_list_or_keep(value):
         return value
 
 df = df.apply(lambda col: col.map(convert_str_to_list_or_keep))
-df2 = df2.apply(lambda col: col.map(convert_str_to_list_or_keep))
 
 df['positionClosed'] = False
 
@@ -339,20 +336,20 @@ if df is not None and uid_input:
 
             unique_lists =[]
 
-    elif option == "Show Live Positions":
-        filtered_df2 = df2[df2['U_IDs'] == uid_input]
+    # elif option == "Show Live Positions":
+    #     filtered_df2 = df2[df2['U_IDs'] == uid_input]
 
-        if not filtered_df2.empty:
+    #     if not filtered_df2.empty:
 
-            positions_list = filtered_df2['Positions'].iloc[0]  # Extract the first match
+    #         positions_list = filtered_df2['Positions'].iloc[0]  # Extract the first match
 
-            # Convert the list of dictionaries to a DataFrame
-            if isinstance(positions_list, list) and positions_list:
-                positions_df = pd.DataFrame(positions_list)
-                st.subheader("Live Positions")
-                st.dataframe(positions_df)
-            else:
-                st.write("No live positions data available for the given U_ID.")
+    #         # Convert the list of dictionaries to a DataFrame
+    #         if isinstance(positions_list, list) and positions_list:
+    #             positions_df = pd.DataFrame(positions_list)
+    #             st.subheader("Live Positions")
+    #             st.dataframe(positions_df)
+    #         else:
+    #             st.write("No live positions data available for the given U_ID.")