legacy work, probably better to refactor for VTA

Author: edasmalchi

rt_delay/rt_analysis/rt_filter_map_plot.py

@@ -720,7 +720,7 @@ def quick_map_corridor(self):
             selector = select(_.geometry, _.total_speed_delay, _.total_schedule_delay)
         else:
             selector = select(_.geometry, _.total_speed_delay)
-        gdf = (self.corridor >> selector).iloc[:1,:]
+        gdf = (self.corridor >> selector).dissolve()
         m = pd.concat([mappable_stops, gdf]).explore(tiles = "CartoDB positron")
         return m
 
@@ -814,8 +814,9 @@ def corridor_metrics(self, sccp = False):
                               >> mutate(new_avg_trips_hr = ((_.n_trips + _.trips_added) / _.span_hours) / 2)
                               # create avg per direction by div 2
                           )
-        both_metrics_df['length_miles'] = (self.corridor.distance_meters / METERS_PER_MILE).iloc[0]
-        both_metrics_df['distance_meters'] = self.corridor.distance_meters
+        if 'distance_meters' in self.corridor.columns:
+            both_metrics_df['length_miles'] = (self.corridor.distance_meters / METERS_PER_MILE).iloc[0]
+            both_metrics_df['distance_meters'] = self.corridor.distance_meters
         both_metrics_df['target_mph'] = self.transit_priority_target_mph
         # both_metrics_df.length_miles = both_metrics_df.length_miles.fillna(value=gdf.length_miles.iloc[0])
         gdf = gpd.GeoDataFrame(both_metrics_df, geometry=self.corridor.geometry, crs=self.corridor.crs)

rt_delay/rt_analysis/sccp_tools.py

@@ -24,9 +24,9 @@ def sccp_average_metrics(itp_id: int, date_range: np.arange, corridor: gpd.GeoDa
             rt_day.add_corridor(corridor)
             if filter_dict:
                 rt_day.set_filter(**filter_dict)
-            metrics = rt_day.corridor_metrics()
-            schedule_metrics += [metrics['schedule_metric_minutes']]
-            speed_metrics += [metrics['speed_metric_minutes']]
+            metrics = rt_day.corridor_metrics(sccp=True)
+            schedule_metrics += [metrics['schedule_delay_minutes'].sum()]
+            speed_metrics += [metrics['speed_delay_minutes'].sum()]
             print(f'complete for date: {date}')
         except Exception as e:
             print(f'failed for date: {date}')

sccp/corridors_sccp_lpp/2024/beaumont_map.geojson

@@ -1 +1 @@
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+{"type":"FeatureCollection","features":[{"type":"Feature","properties":{},"geometry":{"coordinates":[[[-116.99044694002112,33.926399060021296],[-116.99044694002112,33.92403782209635],[-116.98813434742624,33.92403782209635],[-116.98813434742624,33.926399060021296],[-116.99044694002112,33.926399060021296]]],"type":"Polygon"}}]}