time_leap = 15*60 # In seconds
output = []
for path_year in path_years:
for month in range(12):
start_date, end_date, month_str = month_start_end_date(month, path_year[-4:])
month_output = []
for loc in location_id:
print(type(loc))
for plate in location_id:
filename = ('Deliveries_for_delivery_points_on_' + month_str + '_' + path_year[-4:] + '.csv')
month_input = pd.read_csv(filename, sep=';')
print(np.shape(month_input))
for i, timestamp in enumerate(month_input.iloc[:,0]):
month_input.iloc[i,0] = int(datetime_to_dt_number(timestamp) / (time_leap))
all_timestamps = np.arange(int((datetime_to_dt_number(start_date)-60*60*4)/time_leap),
int((datetime_to_dt_number(end_date)-60*60*4)/time_leap))
print(np.shape(month_input['ID klijenta']))
print(np.shape(location_id))
unloading_timestamps = np.where(month_input['ID klijenta'] == location_id,
month_input['Vrijeme istovara'], 0)
all_timestamps_2D = np.array([all_timestamps,]*np.shape(unloading_timestamps)[0]).transpose()
unloading_timestamps_2D = np.array([unloading_timestamps,]*np.shape(all_timestamps)[0])
unloading_timestamps_2D = np.where(all_timestamps_2D == unloading_timestamps_2D, 1, 0)
unloading_timestamps = unloading_timestamps_2D.sum(axis=1)
if month_output != []:
month_output = np.concatenate((month_output, [unloading_timestamps]), axis=0)
else:
month_output = [unloading_timestamps]
if output != []:
output = np.concatenate((output, month_output), axis=1)
else:
output = np.copy(month_output)
print(np.shape(output))
os.remove(filename)
Where is the error???
question from:https://stackoverflow.com/questions/65933075/valueerror-lengths-must-match-to-compare-635-12
