added selected project df

modules/singlematch_result_table.py

@@ -4,24 +4,23 @@ import pandas as pd
 def show_single_table(selected_project_index, projects_df, result_df):
 
     st.write("------------------")
-    sel_p_row = projects_df.iloc[[selected_project_index]].T
+    project_series = projects_df.iloc[selected_project_index]
 
-    try:
-        sel_p_row["crs_3_code_list"] = [sel_p_row['crs_3_code'].item().split(";")[:-1]]
-    except:
-        sel_p_row["crs_3_code_list"] = [""]
+    # Transform data as needed (example with dummy data for 'crs_3_code' and 'crs_5_code')
+    project_series['crs_3_code_list'] = project_series.get('crs_3_code', '').split(";")[:-1] or [""]
+    project_series['crs_5_code_list'] = project_series.get('crs_5_code', '').split(";")[:-1] or [""]
+    project_series['sdg_list'] = [project_series.get('sgd_pred_code', '')]
 
-    try:
-        sel_p_row["crs_5_code_list"] = [sel_p_row['crs_5_code'].item().split(";")[:-1]]
-    except:
-        sel_p_row["crs_5_code_list"] = [""]
-
-    sel_p_row["sdg_list"] = [sel_p_row['sgd_pred_code'].item()]
+    # Create a new DataFrame for the transformed Series for a vertical display
+    display_df = pd.DataFrame({
+        'Field': project_series.index,
+        'Value': project_series.values
+    })
 
     st.dataframe(
-                    sel_p_row[["iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country_name", "country_flag", "sdg_list", "crs_3_code_list", "crs_5_code_list"]],
+                    display_df[["iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country_name", "country_flag", "sdg_list", "crs_3_code_list", "crs_5_code_list"]],
                     use_container_width = True,
-                    height = 35 + 35 * len(sel_p_row),
+                    height = 35 + 35 * len(display_df),
                     column_config={
                         "iati_id": st.column_config.TextColumn(
                             "IATI ID",