8.3 KiB
8.3 KiB
In [1]:
import openpyxl
import json
wb = openpyxl.load_workbook('data/通用技术中国医药人员信息.xlsx',data_only=True)
sheet = wb.active
# sheets = wb.sheetnames
person = {}
for n in range(2, sheet.max_row+1):
code = int(sheet.cell(n, 1).value)
person.setdefault(code, {})
dict1 = {}
dict1['name'] = sheet.cell(n, 2).value
#dict1['sex'] = sheet.cell(n, 5).value
dict1['unit'] = sheet.cell(n, 4).value
dict1['birth'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0]
dict1['phone'] = sheet.cell(n, 5).value
person[code] = dict1
filename = 'data/通用技术中国医药人员.json'
with open(filename, 'w') as fl:
json.dump(person, fl, ensure_ascii=False)
print(len(person),'ok')33 ok
In [5]:
import openpyxl
import json
import time
from datetime import date
wb = openpyxl.load_workbook('data/通用技术中国医药手工数据.xlsx',data_only=True)
sheet = wb.active
# sheets = wb.sheetnames
filename = 'data/通用技术中国医药人员.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
dict2 = {}
for n in range(2, sheet.max_row+1):
code = str(sheet.cell(n, 1).value)
rq = date.fromisoformat('2025-09-18')
birth = date.fromisoformat(dict1[code]['birth'].replace('/','-'))
dict2[code] = dict1[code]
days = (rq-birth).days
dict2[code]['age'] = int(days/365)
dict2[code]['month'] = int(days/365*12)
dict2[code]['rq'] = '2025-09-18'
if sheet.cell(n,4).value:
dict2[code].setdefault('reaction',{})
dict2[code]['reaction']['成绩'] = sheet.cell(n, 4).value
if sheet.cell(n,5).value:
dict2[code].setdefault('grip',{})
dict2[code]['grip']['成绩'] = sheet.cell(n, 5).value
if sheet.cell(n,7).value:
dict2[code].setdefault('lung',{})
dict2[code]['lung']['成绩'] = sheet.cell(n, 7).value
if sheet.cell(n,6).value:
dict2[code].setdefault('balance',{})
dict2[code]['balance']['成绩'] = sheet.cell(n, 6).value
if sheet.cell(n,3).value:
dict2[code].setdefault('bmi',{})
dict2[code]['bmi']['成绩'] = sheet.cell(n, 3).value
filename = 'data/result_通用技术中国医药.json'
with open(filename,'w') as fl:
json.dump(dict2, fl, ensure_ascii=False)
print(len(dict2))33
In [ ]:
In [7]:
import json
import csv
import openpyxl
import time
from datetime import date
dict1 = {}
filename = 'data/result_通用技术中国医药.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
filename = 'data/通用技术中国医药人员.json'
with open(filename,'r') as fl:
dict3 = json.load(fl)
phone = {}
for k,v in dict3.items():
if 'phone' in v.keys():
phone[int(v['phone'])] = k
list1 = []
filename = 'data/survey_records_20250922.csv'
with open(filename,'r',newline='') as csv_file:
fl = csv.reader(csv_file,delimiter=',')
header = next(fl)
for line in fl:
list1.append(line)
nn = 0
for item in list1:
if int(item[3]) in phone.keys():
tcm = []
code = phone[int(item[3])]
for i in range(0,60):
tcm.append(0)
content = json.loads(item[4])
if code not in dict1.keys():
dict1[code] = dict3[code]
rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])
dict1[code]['rq'] = str(date.fromisoformat(item[5].replace('/','-').split(' ')[0]))
#dict1[code]['rq'] = item[5].replace('/','-').split(' ')[0]
else:
rq=date.fromisoformat('2025-09-18')
dict1[code]['rq'] = '2025-09-18'
for k, v in content.items():
if 'tcm' in k:
i = int(k[3:])
tcm[i-1] = int(v)
if 'tcm' in item[4]:
dict1[code]['tcm'] = tcm
birth = date.fromisoformat(dict3[code]['birth'].replace('/','-'))
days = (rq-birth).days
dict1[code]['age'] = int(days/365)
dict1[code]['month'] = int(days/365*12)
#print(phone[item[2]])
nn+=1
filename = 'data/result_通用技术中国医药-1.json'
with open(filename,'w') as fl:
json.dump(dict1, fl, ensure_ascii=False)In [ ]: