jupyter/体测单位/沧州炼化.ipynb

体测人员导入

In [18]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    code = sheet.cell(n, 2).value
    person.setdefault(code, {})
    dict1 = {}
    dict1['name'] = sheet.cell(n, 4).value
    dict1['sex'] = sheet.cell(n, 5).value
    dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] 
    dict1['unit'] = sheet.cell(n, 3).value
    dict1['phone'] = str(sheet.cell(n, 7).value)
    person[code] = dict1
filename = 'data/沧州炼化人员.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print(len(person),'ok')

1299 ok

In [9]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}
list1 = []
list2 = []
for n in range(2, sheet.max_row+1):
    code = sheet.cell(n, 2).value
    if code not in list1:
        list1.append(code)
    else:
        list2.append(code)
list3 = []
for n in range(2, sheet.max_row+1):
    code = sheet.cell(n, 2).value
    if code in list2:
        list4 = [code,sheet.cell(n, 4).value,sheet.cell(n, 3).value]
        list3.append(list4)
print(list3)
filename = 'data/沧州炼化编号重复人员.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active

for row in list3:
    sheet.append(row)
    
wb.save(filename)

[['1553904', '孙建国', '物资采购中心'], ['1553904', '张巍', '应急救援中心']]

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In [19]:

import json

filename = 'data/沧州炼化人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
for k, v in dict1.items():
    dict2 = {}
    #if dict1['sex'] =='男':
    #    sex = 1
    
    dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}
    list1.append(dict2)
json_data = json.dumps(list1,ensure_ascii=False, indent=4)  

# 将 json 数据写入文件
with open("data/card_沧州炼化人员.json", "w",encoding = 'utf-8') as file:
    file.write(json_data)   
print(len(list1),'ok')

1297 ok

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