def get_speed_by_day_at_change_point(all_rows, day):
cols = ['start_time', 'location']
speeds = []
results = merge_locations_by_date([dict(list(zip(cols, row))) for row in all_rows])
points = set()
for location in results:
points.add(location['start_time'])
points.add(location['end_time'])
points = [str2date(x) for x in sorted(points)]
if len(all_rows) == 0:
return speeds
delta_t = 60
for i in range(len(points)):
start_time = points[i] - datetime.timedelta(minutes=delta_t / 2)
end_time = points[i] + datetime.timedelta(minutes=delta_t / 2)
rows = [x for x in all_rows if date2str(start_time) <= x[0] <= date2str(end_time)]
if len(rows) == 0:
speeds.append({
'time': date2str(points[i]),
'speed': 0
})
continue
rows = merge_locations_by_date([dict(list(zip(cols, row))) for row in rows])
get_delta_by_day(rows)
speed = entropy(rows, delta_t, [start_time, end_time])
speeds.append({
'time': date2str(points[i]),
'speed': speed
})
return speeds
def get_speed_by_day(all_rows, day):
timestamps = pd.date_range(start=day + '001500',
end=day + '235959',
freq='30Min')
cols = ['start_time', 'location']
speeds = []
if len(all_rows) == 0:
return speeds
delta_t = 60
for i in range(len(timestamps)):
start_time = timestamps[i].to_datetime() - datetime.timedelta(minutes=delta_t / 2)
end_time = timestamps[i].to_datetime() + datetime.timedelta(minutes=delta_t / 2)
rows = [x for x in all_rows if date2str(start_time) <= x[0] <= date2str(end_time)]
if len(rows) == 0:
speeds.append({
'time': date2str(timestamps[i]),
'speed': 0
})
continue
rows = merge_locations_by_date([dict(list(zip(cols, row))) for row in rows])
get_delta_by_day(rows)
speed = entropy(rows, delta_t, [start_time, end_time])
speeds.append({
'time': date2str(timestamps[i]),
'speed': speed
})
return speeds
def get_speed_by_day(all_rows, day):
timestamps = pd.date_range(start=day + '001500',
end=day + '235959',
freq='30Min')
cols = ['start_time', 'location']
speeds = []
if len(all_rows) == 0:
return speeds
delta_t = 60
for i in range(len(timestamps)):
start_time = timestamps[i].to_datetime() - datetime.timedelta(minutes=delta_t / 2)
end_time = timestamps[i].to_datetime() + datetime.timedelta(minutes=delta_t / 2)
rows = [x for x in all_rows if date2str(start_time) <= x[0] <= date2str(end_time)]
if len(rows) == 0:
speeds.append({
'time': date2str(timestamps[i]),
'speed': 0
})
continue
rows = merge_locations_by_date([dict(list(zip(cols, row))) for row in rows])
get_delta_by_day(rows)
speed = entropy(rows, delta_t, [start_time, end_time])
speeds.append({
'time': date2str(timestamps[i]),
'speed': speed
})
return speeds