forked from Open-CT/openbrain
77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
import pandas as pd
|
|
from datetime import datetime
|
|
|
|
time_dict = {}
|
|
stop_time_dict = {}
|
|
data = pd.read_excel(r'Z.xlsx')
|
|
|
|
datetimeFormat = '%Y-%m-%dT%H:%M:%S.%f+08:00'
|
|
datetimeFormat2 = '%Y-%m-%dT%H:%M:%S+08:00'
|
|
|
|
for index, row in data.iterrows():
|
|
id = str(row['ticket_id'])
|
|
timestamp = str(row['timestamp'])
|
|
if (id not in time_dict.keys()):
|
|
time_dict[id] = []
|
|
time_dict[id].append(timestamp)
|
|
else:
|
|
time_dict[id].append(timestamp)
|
|
|
|
for key, value in time_dict.items():
|
|
stop_time_dict[key] = value[-1]
|
|
|
|
data2 = pd.read_excel(r'z_out_0715.xlsx')
|
|
|
|
stoptime_new_list = []
|
|
time_new_list = []
|
|
empty = 0
|
|
|
|
for index, row in data2.iterrows():
|
|
print(index)
|
|
id = str(row['ticket_id'])
|
|
P1_CODE = row['P1_CODE']
|
|
MM60101_CODE = row['MM60101_CODE']
|
|
if (pd.isna(row['stop_time']) and (int(P1_CODE) != 99 or int(MM60101_CODE) != 99)):
|
|
if (id in stop_time_dict.keys()):
|
|
timestamp = stop_time_dict[id]
|
|
stoptime_new_list.append(timestamp)
|
|
try:
|
|
date2 = datetime.strptime(str(timestamp), datetimeFormat)
|
|
except ValueError:
|
|
date2 = datetime.strptime(str(timestamp), datetimeFormat2)
|
|
else:
|
|
empty = empty + 1
|
|
stoptime_new_list.append("")
|
|
time_new_list.append("")
|
|
continue
|
|
elif (pd.isna(row['stop_time']) and int(P1_CODE) == 99 and int(MM60101_CODE) == 99):
|
|
empty = empty + 1
|
|
stoptime_new_list.append("")
|
|
time_new_list.append("")
|
|
continue
|
|
else:
|
|
stoptime_new_list.append("")
|
|
try:
|
|
date2 = datetime.strptime(str(row['stop_time']), datetimeFormat)
|
|
except ValueError:
|
|
date2 = datetime.strptime(str(row['stop_time']), datetimeFormat2)
|
|
try:
|
|
date1 = datetime.strptime(str(row['start_time']), datetimeFormat)
|
|
except ValueError:
|
|
date1 = datetime.strptime(str(row['start_time']), datetimeFormat2)
|
|
delta = date2 - date1
|
|
miao = delta.seconds
|
|
fen = round(miao/60, 2)
|
|
time_new_list.append(fen)
|
|
|
|
col_name = data2.columns.tolist()
|
|
|
|
col_name.insert(col_name.index('stop_time')+1, 'stoptime_new')
|
|
data2 = data2.reindex(columns=col_name)
|
|
data2['stoptime_new'] = stoptime_new_list
|
|
|
|
col_name.insert(col_name.index('cost_time')+1, 'time_new')
|
|
data2 = data2.reindex(columns=col_name)
|
|
data2['time_new'] = time_new_list
|
|
|
|
data2.to_excel('z_out_0719.xlsx') |