Update page_files/Categorized_Search.py

page_files/Categorized_Search.py

@@ -1139,7 +1139,7 @@ with right_col:
                     #             st.session_state._scroll_to_results = True
                     properties_df = (
                         material_df[material_df["section"] == section_choice][
-                            ["property_name", "section"]
+                            ["property_name", "value", "unit", "test_condition", "section"]
                         ]
                         .drop_duplicates()
                         .reset_index(drop=True)
@@ -1155,14 +1155,19 @@ with right_col:
                         key="inspect_properties_table",
                         column_config={
                             "property_name": st.column_config.TextColumn("PROPERTY NAME"),
+                            "value": st.column_config.TextColumn("VALUE"),
+                            "unit": st.column_config.TextColumn("UNIT"),
+                            "test_condition": st.column_config.TextColumn("TEST CONDITION"),
                             "section": st.column_config.TextColumn("SECTION"),
                         },
                     )
 
                     selected_indices = property_event.selection.rows if property_event and property_event.selection else []
 
+                    selected_prop_row = None
                     if selected_indices:
-                        property_choice = properties_df.iloc[selected_indices[0]]["property_name"]
+                        selected_prop_row = properties_df.iloc[selected_indices[0]]
+                        property_choice = selected_prop_row["property_name"]
                         st.session_state.inspect_property = property_choice
                     elif st.session_state.inspect_property in properties_df["property_name"].tolist():
                         property_choice = st.session_state.inspect_property
@@ -1178,6 +1183,13 @@ with right_col:
                                 & (all_data["property_name"] == property_choice)
                                 & (all_data["value"].notna())
                             ]
+                            # if a specific experiment row was picked, narrow to it
+                            # (value + test_condition) so the exact measurement shows
+                            if selected_prop_row is not None:
+                                result = result[
+                                    (result["value"].astype(str) == str(selected_prop_row["value"]))
+                                    & (result["test_condition"].astype(str) == str(selected_prop_row["test_condition"]))
+                                ]
 
                             if result.empty:
                                 st.warning("No data found for this material-property combination")