Add additional logging in 'Data Load' section of 'app.py' to display total rows, NaN counts per column, and samples of rows with NaN values, enhancing data validation during file loading.

app.py

@@ -310,6 +310,15 @@ if selected_tab == 'Data Load':
                     st.session_state['export_portfolio'] = st.session_state['export_portfolio'].dropna(how='all')
                     st.session_state['export_portfolio'] = st.session_state['export_portfolio'].reset_index(drop=True)
                     print(st.session_state['portfolio'].isna().sum())
+                    st.write(f"Total rows before dropping NaN: {len(st.session_state['portfolio'])}")
+                    st.write("NaN count per column:")
+                    st.write(st.session_state['portfolio'].isna().sum())
+
+                    rows_with_na = st.session_state['portfolio'][st.session_state['portfolio'].isna().any(axis=1)]
+                    st.write(f"Number of rows with at least one NaN: {len(rows_with_na)}")
+                    if len(rows_with_na) > 0:
+                        st.write("Sample of rows with NaN values:")
+                        st.dataframe(rows_with_na.head(10))
                     st.session_state['portfolio'] = st.session_state['portfolio'].dropna(how='all')
                     st.session_state['portfolio'] = st.session_state['portfolio'].reset_index(drop=True)
                 elif upload_toggle == 'Draftkings/Fanduel (Names + IDs)':