& (df['DID'] == dir_info.id)]
dwell_time = (stop_arrivals['DEPARTURE_TIME'] -
stop_arrivals['TIME'])
if not stop_arrivals.empty:
min_dist_quantiles = np.quantile(stop_arrivals['DIST'],
[0, 0.5, 1])
dwell_time_quantiles = np.quantile(dwell_time, [0, 0.5, 1])
else:
min_dist_quantiles = []
dwell_time_quantiles = []
num_arrivals = len(stop_arrivals['TIME'].values)
dwell_time_str = ', '.join(
[util.render_dwell_time(q) for q in dwell_time_quantiles])
min_dist_str = ', '.join([
render_distance(min_dist)
for min_dist in min_dist_quantiles
])
print(
f"{'%3d' % num_arrivals} arrivals ({dwell_time_str}) ({min_dist_str}) \u0394 {render_distance(delta_dist)} @ {stop_info.id} [{dir_index}] - {stop_info.title}"
)
stop_rows.append(
(route_id, dir_info.id, stop_id, dir_index, stop_info.lat,
stop_info.lon, delta_dist, num_arrivals))
prev_stop_info = stop_info
'''
arrivals1 = df[(df['SID'] == '3814')]
arrivals2 = df[(df['SID'] == '3813')]
start_time=start_time,
end_time=end_time)
if df.empty:
print(f"no arrival times found for vehicle {vid} on {date_str}")
continue
df = df.sort_values(['TIME', 'TRIP'], axis=0)
df['DATE_TIME'] = df['TIME'].apply(
lambda t: datetime.fromtimestamp(t, tz))
for row in df.itertuples():
stop_id = row.SID
stop_info = route_config.get_stop_info(stop_id)
dir_info = route_config.get_direction_info(row.DID)
try:
stop_index = dir_info.get_stop_ids().index(stop_id)
except ValueError:
stop_index = None
dwell_time = util.render_dwell_time(row.DEPARTURE_TIME - row.TIME)
dist_str = f'{row.DIST}'.rjust(3)
print(
f"t={row.DATE_TIME.date()} {row.DATE_TIME.time()} ({row.TIME}) {dwell_time} vid:{row.VID} #{row.TRIP} {dist_str}m dir:{row.DID} stop:{stop_id} [{stop_index}] {stop_info.title if stop_info else '?'}"
)
num_stops += 1
print(f'num_stops = {num_stops}')