599 lines
19 KiB
Plaintext
599 lines
19 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 体测人员导入"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-09-18T02:16:02.586698Z",
|
|
"iopub.status.busy": "2024-09-18T02:16:02.585914Z",
|
|
"iopub.status.idle": "2024-09-18T02:16:02.620560Z",
|
|
"shell.execute_reply": "2024-09-18T02:16:02.620084Z",
|
|
"shell.execute_reply.started": "2024-09-18T02:16:02.586621Z"
|
|
},
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"ok\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import openpyxl\n",
|
|
"import json\n",
|
|
"from datetime import date\n",
|
|
"\n",
|
|
"wb = openpyxl.load_workbook('data/北体体质康健.xlsx')\n",
|
|
"sheet = wb.active\n",
|
|
"# sheets = wb.sheetnames\n",
|
|
"person = {}\n",
|
|
"\n",
|
|
"for n in range(1, 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, 3).value\n",
|
|
" dict1['unit'] = '北体体质康健班'\n",
|
|
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
|
|
" if sheet.cell(n,5).value is not None:\n",
|
|
" dict1['phone'] = str(sheet.cell(n,5).value) \n",
|
|
" person[code] = dict1\n",
|
|
"filename = 'data/北体体质康健.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": {
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
},
|
|
"source": [
|
|
"## 获取人员测试成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"id": "970e171e-1360-448f-a28c-520ccb8f314a",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-09-18T02:17:10.941442Z",
|
|
"iopub.status.busy": "2024-09-18T02:17:10.940669Z",
|
|
"iopub.status.idle": "2024-09-18T02:17:10.997800Z",
|
|
"shell.execute_reply": "2024-09-18T02:17:10.997322Z",
|
|
"shell.execute_reply.started": "2024-09-18T02:17:10.941368Z"
|
|
},
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"87\n",
|
|
"87\n"
|
|
]
|
|
}
|
|
],
|
|
"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/北体体质康健.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"filename = 'data/places_result_20240918.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_北体体质康健.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": {
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
},
|
|
"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": {
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
},
|
|
"source": [
|
|
"## 导入问卷信息"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"id": "79fb7799-3693-4b7b-ae82-c0d8dee98d36",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-09-14T11:49:21.331114Z",
|
|
"iopub.status.busy": "2024-09-14T11:49:21.330310Z",
|
|
"iopub.status.idle": "2024-09-14T11:49:21.362941Z",
|
|
"shell.execute_reply": "2024-09-14T11:49:21.362399Z",
|
|
"shell.execute_reply.started": "2024-09-14T11:49:21.331031Z"
|
|
},
|
|
"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_北体体质康健.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict3 = json.load(fl)\n",
|
|
"\n",
|
|
"\n",
|
|
"list1 = []\n",
|
|
"filename = 'data/Survey_20240914.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_北体体质康健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": {
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
},
|
|
"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": "1e617679-6d57-4389-bc84-4e14e63616f1",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.12.3"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|