diff --git a/src/asim/scripts/resident/2zoneSkim.py b/src/asim/scripts/resident/2zoneSkim.py index f4da92f62..626e2f45f 100644 --- a/src/asim/scripts/resident/2zoneSkim.py +++ b/src/asim/scripts/resident/2zoneSkim.py @@ -221,26 +221,14 @@ def add_missing_mazs_to_skim_table(centroids, maz_to_maz_walk_cost_out, maz_to_m max_walk_dist = parms['mmms']['max_maz_' + output + '_stop_walk_dist_feet'] / 5280.0 maz_to_stop_walk_cost_out_mode = maz_to_stop_walk_cost_out[maz_to_stop_walk_cost_out['MODE'].str.contains(mode)].copy() maz_to_stop_walk_cost_out_mode.loc[:, 'MODE'] = mode - # peforms a similar operation as the add_missing_mazs_to_skim_table() function - missing_maz = pd.DataFrame( - centroids[~centroids["MAZ"].isin(maz_to_stop_walk_cost_out_mode["MAZ"])]["MAZ"] - ).merge( - maz_to_stop_cost.sort_values("DISTANCE") - .groupby(["MAZ", "MODE"]) - .agg({"stop": "first", "DISTANCE": "first"}) - .reset_index(), - on="MAZ", - how="left", - ) - maz_to_stop_walk_cost = maz_to_stop_walk_cost_out_mode.append(missing_maz.rename(columns = {'DISTANCE': 'DISTWALK'})).sort_values(['MAZ', 'stop']) + maz_to_stop_walk_cost = maz_to_stop_walk_cost_out_mode.sort_values(['MAZ', 'stop']) del(maz_to_stop_walk_cost_out_mode) - del(missing_maz) maz_stop_walk = maz_to_stop_walk_cost[maz_to_stop_walk_cost.MODE==mode].groupby('MAZ')['DISTWALK'].min().reset_index() maz_stop_walk.loc[maz_stop_walk['DISTWALK'] > max_walk_dist, 'DISTWALK'] = np.nan #maz_stop_walk["walk_time"] = maz_stop_walk["DISTWALK"].apply(lambda x: x / parms['mmms']['walk_speed_mph'] * 60.0) - maz_stop_walk['DISTWALK'].fillna(999999, inplace = True) maz_stop_walk.rename({'MAZ': 'maz', 'DISTWALK': 'walk_dist_' + output}, axis='columns', inplace=True) - maz_stop_walk0 = maz_stop_walk0.merge(maz_stop_walk, left_on='maz', right_on='maz') + maz_stop_walk0 = maz_stop_walk0.merge(maz_stop_walk, left_on='maz', right_on='maz', how='outer') + maz_stop_walk0['walk_dist_' + output].fillna(999999, inplace = True) maz_stop_walk0.sort_values(by=['maz'], inplace=True) print(f"{datetime.now().strftime('%H:%M:%S')} Write Results...")