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jupyter/体测单位/东营老年大学.ipynb
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2024-06-26 00:29:56 +08:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
"metadata": {},
"source": [
"## 体测人员导入"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"wb = openpyxl.load_workbook('data/东营老年大学.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"person = {}\n",
"\n",
"for n in range(2, sheet.max_row+1):\n",
" code = int(sheet.cell(n, 1).value)\n",
" person.setdefault(code, {})\n",
" dict1 = {}\n",
" dict1['name'] = sheet.cell(n, 2).value\n",
" dict1['sex'] = sheet.cell(n, 4).value\n",
" dict1['unit'] = '东营老年大学'\n",
" dict1['birth'] = str(sheet.cell(n, 8).value).replace('/','-').split(' ')[0]\n",
" if sheet.cell(n,6).value is not None:\n",
" dict1['phone'] = str(sheet.cell(n,6).value) \n",
" person[code] = dict1\n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(person, fl, ensure_ascii=False)\n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
"metadata": {},
"source": [
"## 获取人员测试成绩"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "970e171e-1360-448f-a28c-520ccb8f314a",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import json\n",
"import datetime\n",
"import csv\n",
"from datetime import date\n",
"\n",
"filename = '../item.json'\n",
"item = {}\n",
"unit = {}\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"for k,v in dict1.items():\n",
" item[k] = v\n",
"item['1']['en'] = 'lung'\n",
"item['2']['en'] = 'grip'\n",
"item['3']['en'] = 'flexion'\n",
"item['4']['en'] = 'jump'\n",
"item['5']['en'] = 'pushup'\n",
"item['6']['en'] = 'balance'\n",
"item['7']['en'] = 'reaction'\n",
"item['8']['en'] = 'step'\n",
"item['9']['en'] = 'situp'\n",
"item['10']['en'] = 'height'\n",
"item['11']['en'] = 'weight'\n",
"\n",
"\n",
"re_ta = {}\n",
"dict1 = {}\n",
"list1 = []\n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/places_result_20240321.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
" for line in fl:\n",
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
" list1.append(line)\n",
"#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
"#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
"for result in list1:\n",
" user = str(result[2])\n",
" rq = date.fromisoformat(result[6].replace('/','-'))\n",
" if user in dict1.keys():\n",
" l_xm = []\n",
" m_item = str(result[3]) \n",
" re_ta.setdefault(user,{}) \n",
" re_ta[user]['name'] = dict1[user]['name']\n",
" re_ta[user]['sex'] = dict1[user]['sex']\n",
" if 'phone' in dict1[user].keys():\n",
" re_ta[user]['phone'] = dict1[user]['phone']\n",
" if dict1[user]['sex'] == '男':\n",
" l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
" else:\n",
" l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
" re_ta[user]['unit'] = dict1[user]['unit']\n",
" #birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
" birth = date.fromisoformat(dict1[user]['birth'])\n",
" #nian = int(birth[0].strip())\n",
" #yue = int(birth[1].strip())\n",
" #ri = int(birth[2].strip())\n",
" #print(k,nian,yue,ri)\n",
" item_name = item[m_item]['en'] \n",
" if item_name in l_xm: \n",
" days = (rq-birth).days \n",
" re_ta[user]['age'] = int(days/365)\n",
" re_ta[user]['month'] = int(days/365*12)\n",
" re_ta[user]['rq'] = result[6]\n",
"\n",
"\n",
" re_ta[user].setdefault(item_name,{}) \n",
" score = int(result[4])/item[m_item]['divisor'] \n",
" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
"print(len(re_ta))\n",
"filename = 'data/result_东营老年大学.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(re_ta, fl, ensure_ascii=False) \n",
"print(len(re_ta))"
]
},
{
"cell_type": "markdown",
"id": "d034a61d-1fbd-417b-99bd-277e43ebb678",
"metadata": {},
"source": [
"## 导出测试人员信息"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0c60a509-dfc0-426a-a44e-e9a760139463",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import json\n",
"import openpyxl\n",
"\n",
"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
"bmi = ['height','weight']\n",
"title = ['编号','姓名','性别','身高','体重','bmi','肺活量','','握力','','坐位体前屈','','纵跳','','俯卧撑','','一分钟仰卧起坐','','单脚站立','','选择反应时','','台阶指数']\n",
"\n",
"filename = 'data/727410_pdf.json'\n",
"with open(filename,'r') as fl:\n",
" list2 = json.load(fl)\n",
"\n",
"list1 = []\n",
"for xm in list2: \n",
" list2 = []\n",
" list2.append(xm['id'].rjust(3,'0'))\n",
" list2.append(xm['name']) \n",
" list2.append(xm['gender']) \n",
" \n",
" i = 0\n",
" if 'bmi' in xm['fits'].keys():\n",
" m_bmi = xm['fits']['bmi']['mark']\n",
" list2.append(m_bmi.split(',')[0])\n",
" list2.append(m_bmi.split(',')[1])\n",
" list2.append(xm['fits']['bmi']['score'])\n",
" i+=1\n",
" else:\n",
" list2.append('') \n",
" list2.append('') \n",
" list2.append('') \n",
"\n",
"\n",
" for item in items:\n",
" if item in xm['fits'].keys():\n",
" list2.append(xm['fits'][item]['mark'])\n",
" list2.append(xm['fits'][item]['score']) \n",
" i+=1\n",
" #elif item =='name':\n",
" # list2.append(dict1[k][item])\n",
" else:\n",
" list2.append('') \n",
" list2.append('') \n",
" print(list2)\n",
" if i>2:\n",
" list1.append(list2)\n",
"filename = 'data/东营老年大学体测情况表.xlsx'\n",
"wb = openpyxl.Workbook()\n",
"sheet = wb.active\n",
"sheet.append(title)\n",
"for row in list1:\n",
" sheet.append(row)\n",
" \n",
"wb.save(filename)\n",
"print('ok') "
]
},
{
"cell_type": "markdown",
"id": "d794e69d-9444-4765-9b7d-8dcb0f8c4343",
"metadata": {},
"source": [
"## 导入问卷信息"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "79fb7799-3693-4b7b-ae82-c0d8dee98d36",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import json\n",
"import csv\n",
"import openpyxl\n",
"import time\n",
"from datetime import date\n",
"\n",
"dict1 = {}\n",
"\n",
"filename = 'data/result_东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict3 = json.load(fl)\n",
"\n",
"\n",
"list1 = []\n",
"filename = 'data/Survey_20240321.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
" for line in fl:\n",
" list1.append(line)\n",
"#print(list1)\n",
"dict2 = {}\n",
"\n",
"for item in list1:\n",
" psy = []\n",
" tcm = []\n",
" spine = []\n",
" for i in range(0,45):\n",
" psy.append(0)\n",
" for i in range(0,60):\n",
" tcm.append(0)\n",
" for i in range(0,26):\n",
" spine.append(0)\n",
" phone = item[2]\n",
" for k1, v1 in dict3.items():\n",
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
" dict1[k1] = dict3[k1]\n",
" #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
"#print(dict1)\n",
"for item in list1:\n",
" #print(item)\n",
" psy = []\n",
" tcm = []\n",
" spine = []\n",
" for i in range(0,45):\n",
" psy.append(0)\n",
" for i in range(0,60):\n",
" tcm.append(0)\n",
" for i in range(0,26):\n",
" spine.append(0)\n",
" phone = item[2]\n",
" for k1, v1 in dict1.items():\n",
" #print((k1,v1))\n",
" if phone ==v1['phone']: \n",
" content = json.loads(item[5])\n",
" #print(content)\n",
" \n",
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
" for k, v in content.items():\n",
" #print('k:',k,'v:',v)\n",
" if 'psyOld' in k: \n",
" i = int(k[6:])\n",
" psy[i-1] = int(v)\n",
" if 'tcm' in k: \n",
" i = int(k[3:])\n",
" tcm[i-1] = int(v)\n",
" if 'spine' in k:\n",
" i = int(k[5:])\n",
" spine[i-1] = int(v)\n",
" if 'psyOld' in item[5]:\n",
" #for i in range(5,26):\n",
" # new_valve = 5-psy[i]\n",
" # psy[i] = new_valve\n",
" for i in range(26,40):\n",
" new_valve = 1+psy[i]\n",
" psy[i] = new_valve\n",
" psy[44] = []\n",
" dict1[k1]['psy'] = psy\n",
" if 'tcm' in item[5]:\n",
" if tcm[40] ==0:\n",
" tcm[40] =1\n",
" dict1[k1]['tcm'] = tcm\n",
" if 'spine' in item[5]:\n",
" for ii in range(25,23,-1):\n",
" \n",
" spine[ii] = spine[ii-1]\n",
" \n",
" spine[22] = 0\n",
" \n",
" \n",
" \n",
" dict1[k1]['spine'] = spine\n",
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
"\n",
" #days = (rq-birth).days \n",
" #dict1[k1]['age'] = int(days/365)\n",
" \n",
" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
"#print(dict1)\n",
"filename = 'data/result_东营老年大学1.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False) "
]
},
{
"cell_type": "markdown",
"id": "9f9111f1-8cf0-4d45-b9b2-e3b631023581",
"metadata": {},
"source": [
"## 获取问卷人员信息"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d1d02189-e01a-4d7f-9fbb-09b5e72a38df",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import json\n",
"import csv\n",
"import openpyxl\n",
"import time\n",
"from datetime import date\n",
"\n",
"dict1 = {}\n",
"\n",
"filename = 'data/result_东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict3 = json.load(fl)\n",
"\n",
"\n",
"list1 = []\n",
"filename = 'data/Survey_20240321.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
" for line in fl:\n",
" list1.append(line)\n",
"\n",
"\n",
"list2 = []\n",
"for item in list1:\n",
" list3 = []\n",
" phone = item[2]\n",
" content = json.loads(item[5])\n",
" name = content['name']\n",
" gender = content['gender']\n",
" unit = content['unit']\n",
" list2.append([name,phone,gender,unit])\n",
"filename = 'data/东营老年大学问卷人员表.xlsx'\n",
"wb = openpyxl.Workbook()\n",
"sheet = wb.active\n",
"\n",
"for row in list2:\n",
" sheet.append(row)\n",
" \n",
"wb.save(filename)\n",
"print('ok') "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "eb4091f4-9823-4361-acb2-f3e898f9524b",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import json\n",
"import csv\n",
"import openpyxl\n",
"import time\n",
"from datetime import date\n",
"\n",
"dict1 = {}\n",
"\n",
"filename = 'data/result_东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict3 = json.load(fl)\n",
"\n",
"\n",
"list1 = []\n",
"filename = 'data/Survey_20240321.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
" for line in fl:\n",
" list1.append(line)\n",
"#print(list1)\n",
"dict2 = {}\n",
"\n",
"for item in list1:\n",
" psy = []\n",
" tcm = []\n",
" spine = []\n",
" for i in range(0,45):\n",
" psy.append(0)\n",
" for i in range(0,60):\n",
" tcm.append(0)\n",
" for i in range(0,26):\n",
" spine.append(0)\n",
" phone = item[2]\n",
" for k1, v1 in dict3.items():\n",
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
" dict1[k1] = dict3[k1]\n",
" #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
"#print(dict1)\n",
"for item in list1:\n",
" #print(item)\n",
" psy = []\n",
" tcm = []\n",
" spine = []\n",
" for i in range(0,45):\n",
" psy.append(0)\n",
" for i in range(0,60):\n",
" tcm.append(0)\n",
" for i in range(0,26):\n",
" spine.append(0)\n",
" phone = item[2]\n",
" for k1, v1 in dict1.items():\n",
" #print((k1,v1))\n",
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
" content = json.loads(item[5])\n",
" #print(content)\n",
" \n",
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
" for k, v in content.items():\n",
" #print('k:',k,'v:',v)\n",
" if 'psyOld' in k: \n",
" i = int(k[6:])\n",
" psy[i-1] = int(v)\n",
" if 'tcm' in k: \n",
" i = int(k[3:])\n",
" tcm[i-1] = int(v)\n",
" if 'spine' in k:\n",
" i = int(k[5:])\n",
" spine[i-1] = int(v)\n",
" if 'psyOld' in item[5]:\n",
" #for i in range(5,26):\n",
" # new_valve = 5-psy[i]\n",
" # psy[i] = new_valve\n",
" for i in range(26,40):\n",
" new_valve = 1+psy[i]\n",
" psy[i] = new_valve\n",
" psy[44] = []\n",
" dict1[k1]['psy'] = psy\n",
" if 'tcm' in item[5]:\n",
" if tcm[40] ==0:\n",
" tcm[40] =1\n",
" dict1[k1]['tcm'] = tcm\n",
" if 'spine' in item[5]:\n",
" for ii in range(25,23,-1):\n",
" \n",
" spine[ii] = spine[ii-1]\n",
" \n",
" spine[22] = 0\n",
" \n",
" \n",
" \n",
" dict1[k1]['spine'] = spine\n",
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
"\n",
" #days = (rq-birth).days \n",
" #dict1[k1]['age'] = int(days/365)\n",
" \n",
" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
"#print(dict1)\n",
"filename = 'data/result_东营老年大学1.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False) "
]
},
{
"cell_type": "markdown",
"id": "a8dbc7ae-cf00-4591-8572-600c39b37750",
"metadata": {},
"source": [
"## 核对人员成绩"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ee84a3ce-deb7-4345-a4a4-877872996e1c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import json\n",
"import openpyxl\n",
"\n",
"items = ['bmi','lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
"bmi = ['height','weight']\n",
"\n",
"\n",
"filename = 'data/727410_pdf.json'\n",
"with open(filename,'r') as fl:\n",
" list2 = json.load(fl)\n",
"\n",
"filename = 'data/result_东营老年大学1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
" \n",
"\n",
"for xm in list2: \n",
" id = xm['id']\n",
" if str(id) in dict1.keys():\n",
" #print(id,xm['name'])\n",
" for item in xm['fits'].keys():\n",
" y_score = xm['fits'][item]['score']\n",
" if item not in dict1[str(id)].keys() or y_score != dict1[str(id)][item]['score']:\n",
" print(id,xm['name'],item,'no')"
]
},
{
"cell_type": "markdown",
"id": "e76ef95a-25dc-45f2-8b8c-617acbf546c1",
"metadata": {},
"source": [
"## 更新人员手机号码"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "37e24019-9b79-4748-ae6a-2bdb6052862d",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"\n",
"wb = openpyxl.load_workbook('data/东营老年大学电话.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"person = {}\n",
"\n",
"for n in range(2, sheet.max_row+1):\n",
" code = str(sheet.cell(n, 3).value)\n",
" phone = sheet.cell(n, 1).value\n",
" if code in dict1.keys():\n",
" print(phone,code,dict1[code]['phone'])\n",
" dict1[code]['phone'] = phone\n",
" \n",
" \n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False)\n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "7ac62aed-6256-4bd2-a563-5f6e34504121",
"metadata": {},
"source": [
"## 核对人员手机号码"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "42b7cd7d-3446-4abf-91f2-c85d447231e9",
"metadata": {},
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"\n",
"wb = openpyxl.load_workbook('data/6.20日北体花名册.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"dict2 = {}\n",
"\n",
"for n in range(3, sheet.max_row+1):\n",
" phone = int(sheet.cell(n, 3).value)\n",
" \n",
" dict2[phone] = sheet.cell(n, 2).value\n",
"i = 1\n",
"for k, v in dict1.items():\n",
" if 'phone' in v.keys() and v['phone'] in dict2.keys() :\n",
" print(i,v['name'],dict2[v['phone']])\n",
" i+=1"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "bd4b91e9-289c-4f21-aab6-846b5f98c493",
"metadata": {
"execution": {
"iopub.execute_input": "2024-06-24T01:27:12.789785Z",
"iopub.status.busy": "2024-06-24T01:27:12.788991Z",
"iopub.status.idle": "2024-06-24T01:27:12.935728Z",
"shell.execute_reply": "2024-06-24T01:27:12.935118Z",
"shell.execute_reply.started": "2024-06-24T01:27:12.789716Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"刘明岐\n",
"{13375466638: '刘秀清', 13589432668: '赵福珍', 13054619993: '王玉秀', 18554686537: '陈静', 15805460500: '王建红', 13705468382: '丁寿亭', 18654618688: '扈继梅', '18905463888': '崔建民', 13505466886: '郝桂荣', 13361529316: '许兴华', 18654605758: '李新建', 13963369251: '王秀娥', 13854666193: '胡希茹', 13963381767: '曹玉松', 13562277783: '王华奎', 13854664965: '刘学农', 18506464679: '缪新军', 18865467010: '刘汝香', 18505460998: '胡建营', 15266083778: '张玉芹', 15865469239: '刘晋秀', 15154607897: '赵庆芬', 13963359091: '李新国', 13685469953: '王巧云', 18615463569: '李克杰', '13054610560': '马国丽', 13518666896: '刘国明', 13668615983: '李泽国', 13562269069: '邓文霞', 15066075216: '李长君', 18754687658: '王占敏', 13668618731: '刘晓芳', 15552721566: '乔晓雪', 18678690907: '杨学荣', 13082610996: '张德全', 13563351026: '李承俊', 13506369296: '王新玲', 13589986263: '赵立生', 13589996697: '李钦德', 18905465618: '刘其科', 18954035397: '刘建兴', 13906472659: '尚国勋', 15618032716: '林娟', 18661382930: '朱玉良', 13505465335: '邱永明', '13012914968': '赵玉环', 13854622388: '周敏', 13589961161: '许明', 18860657259: '王芳红', 13963358011: '刘兆作', 13605466080: '薛永华', '13280370107': '于敏', 13505461565: '胡建忠', 15550539718: '南莉莉', 15698085191: '刘明岐', 18562110866: '劳玉霞', '18866683285': '张金凤', 13376472932: '王本学', 18653690626: '李萍', 13515466253: '成桂艳', 13054652092: '卢霞', 13280380156: '肖东炎', 18254621588: '黄广红', '15216470927': '李爱萍', 13854620482: '王玉芹', 13376473932: '宋玉香', 18654335533: '刘明华', 16605466518: '靳娜', 13706364787: '李春梅', '13854656568': '吴承军', '13792099139': '宋金乐', '18562022520': '鞠栋', '18605469525': '刘宗敏'}\n"
]
}
],
"source": [
"%reset -f\n",
"\n",
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"\n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"dict2 = {}\n",
"for k, v in dict1.items():\n",
" if 'phone' in v.keys():\n",
" dict2[v['phone']] = v['name']\n",
"wb = openpyxl.load_workbook('data/6.20日北体花名册.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"\n",
"\n",
"for n in range(3, sheet.max_row+1):\n",
" phone = int(sheet.cell(n, 3).value)\n",
" if phone not in dict2.keys():\n",
" print(sheet.cell(n, 2).value)\n",
" \n",
"print(dict2) "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d52f6b08-a9dd-47db-a823-791d581e3e6b",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
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"file_extension": ".py",
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