jupyter/体测单位/燕山石化.ipynb

导入人员信息

In [4]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/燕山石化人员情况表.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    if sheet.cell(n,1).value is not None:
        code = int(sheet.cell(n, 1).value)
        person.setdefault(code, {})
        dict1 = {}
        dict1['name'] = sheet.cell(n, 2).value        
        dict1['sex'] = sheet.cell(n, 3).value
        birth = str(sheet.cell(n, 6).value).split()[0]
        dict1['birth'] = birth
        if sheet.cell(n,5).value is not None:
            dict1['phone'] = sheet.cell(n, 5).value
        if sheet.cell(n,7).value is not None:
            dict1['id_num'] = sheet.cell(n, 7).value
        if sheet.cell(n,8).value is not None:
            dict1['SAP'] = sheet.cell(n, 8).value
        if sheet.cell(n,9).value is not None:
            dict1['工作单位'] = sheet.cell(n, 9).value
        if sheet.cell(n,10).value is not None:
            dict1['车间'] = sheet.cell(n, 10).value
        else:
            dict1['车间'] =''
        if sheet.cell(n,11).value is not None:
            dict1['班组'] = sheet.cell(n, 11).value
        else:
            dict1['班组'] =''
        if sheet.cell(n,12).value is not None:
            dict1['工作性质'] = sheet.cell(n, 11).value
        person[code] = dict1
filename = 'data/燕山石化人员名单.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

ok

In [ ]: