Update check for base_mode column in expanded_ct/_inferred columns

Co-authored-by: Jack Greenlee <[email protected]>

viz_scripts/generic_metrics.ipynb

@@ -468,8 +468,8 @@
     "try:\n",
     "    ## We do an existence check for the labeled df because we want to display the sensed value even if we don't have the labeled value\n",
     "    ## but we don't need to have an existence check for sensed because in that case we will have no data to display\n",
-    "    labeled_land_trips_df = expanded_ct[expanded_ct['base_mode'] != \"AIR\"] if \"mode_confirm_w_other\" in expanded_ct.columns else None\n",
-    "    inferred_land_trips_df = expanded_ct_inferred[expanded_ct_inferred['base_mode'] != \"AIR\"] if \"mode_confirm_w_other\" in expanded_ct_inferred.columns else None\n",
+    "    labeled_land_trips_df = expanded_ct[expanded_ct['base_mode'] != \"AIR\"] if \"base_mode\" in expanded_ct.columns else None\n",
+    "    inferred_land_trips_df = expanded_ct_inferred[expanded_ct_inferred['base_mode'] != \"AIR\"] if \"base_mode\" in expanded_ct_inferred.columns else None\n",
     "    sensed_land_trips_df = expanded_ct_sensed[expanded_ct_sensed['primary_mode'] != \"AIR_OR_HSR\"]\n",
     "    \n",
     "    sensed_land_quality_text = f\"{len(sensed_land_trips_df)} trips ({round(len(sensed_land_trips_df)/len(expanded_ct_sensed)*100)}% of all trips)\\nfrom {scaffolding.unique_users(sensed_land_trips_df)} {sensed_match.group(3)}\"\n",