20251030
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+187
-82
@@ -10,48 +10,33 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
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"execution": {
|
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"iopub.execute_input": "2025-10-21T02:05:09.966940Z",
|
||||
"iopub.status.busy": "2025-10-21T02:05:09.966195Z",
|
||||
"iopub.status.idle": "2025-10-21T02:05:10.249499Z",
|
||||
"shell.execute_reply": "2025-10-21T02:05:10.248277Z",
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||||
"shell.execute_reply.started": "2025-10-21T02:05:09.966870Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"270 ok\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/胜利采油厂人员名单.xlsx',data_only=True)\n",
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"wb = openpyxl.load_workbook('data/南化人员信息表.xlsx',data_only=True)\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = int(sheet.cell(n, 2).value)\n",
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" code = int(sheet.cell(n, 4).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 4).value\n",
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" dict1['name'] = sheet.cell(n, 3).value\n",
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" dict1['sex'] = sheet.cell(n, 5).value\n",
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" dict1['unit'] = sheet.cell(n, 3).value \n",
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" dict1['unit'] = sheet.cell(n, 2).value \n",
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" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0]\n",
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" #dict1['phone'] = sheet.cell(n, 12).value \n",
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" dict1['phone'] = sheet.cell(n, 12).value \n",
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" person[code] = dict1\n",
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"filename = 'data/胜利采油厂人员.json'\n",
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"filename = 'data/南京化工人员.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print(len(person),'ok')"
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@@ -67,31 +52,16 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
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"metadata": {
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||||
"execution": {
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||||
"iopub.execute_input": "2025-10-21T02:05:49.362922Z",
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||||
"iopub.status.busy": "2025-10-21T02:05:49.362143Z",
|
||||
"iopub.status.idle": "2025-10-21T02:05:49.376741Z",
|
||||
"shell.execute_reply": "2025-10-21T02:05:49.375761Z",
|
||||
"shell.execute_reply.started": "2025-10-21T02:05:49.362862Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/胜利采油厂人员.json'\n",
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"filename = 'data/南京化工人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"list1 = []\n",
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@@ -105,7 +75,7 @@
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/data_胜利采油厂人员.json\", \"w\",encoding = 'utf-8') as file:\n",
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"with open(\"data/data_南京化工人员.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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"print('ok')"
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]
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@@ -465,26 +435,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"execution_count": null,
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"id": "9b801085-ca98-4958-8dcc-bcd9985fcd4b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-09-01T07:20:37.177771Z",
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||||
"iopub.status.busy": "2025-09-01T07:20:37.177055Z",
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||||
"iopub.status.idle": "2025-09-01T07:20:37.198841Z",
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"shell.execute_reply": "2025-09-01T07:20:37.198253Z",
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"shell.execute_reply.started": "2025-09-01T07:20:37.177707Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"83\n"
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]
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}
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],
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import csv\n",
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@@ -550,6 +504,120 @@
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"print(len(dict1))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "acfc1736-9185-4217-bd05-a83b7e292725",
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"metadata": {},
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"source": [
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"## 导入问卷信息(20251027)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"id": "4b6cf9bc-fe84-4cf6-b762-8c30f8dd7953",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2025-10-28T02:58:31.746734Z",
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||||
"iopub.status.busy": "2025-10-28T02:58:31.746060Z",
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||||
"iopub.status.idle": "2025-10-28T02:58:31.786856Z",
|
||||
"shell.execute_reply": "2025-10-28T02:58:31.786112Z",
|
||||
"shell.execute_reply.started": "2025-10-28T02:58:31.746685Z"
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||||
}
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},
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"outputs": [
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{
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||||
"name": "stdout",
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"output_type": "stream",
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"text": [
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"81\n"
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||||
]
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||||
}
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||||
],
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"source": [
|
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"import json\n",
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"import csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/sql_20251028.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" list1.append(line)\n",
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"nn = 0\n",
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"for item in list1:\n",
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" dict2 = {}\n",
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" \n",
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" phone = str(item[0])[2:]\n",
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" content = json.loads(json.loads(item[1]))\n",
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" tcm = []\n",
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" for i in range(0,60):\n",
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" tcm.append(0)\n",
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" for k, v in content.items(): \n",
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" if 'tcm' not in k:\n",
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" dict2[k] = v\n",
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" else:\n",
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" i = int(k[3:])\n",
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" tcm[i-1] = int(v)\n",
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" \n",
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" code = dict2['code']\n",
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" dict1.setdefault(code,{})\n",
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" dict1[code]['name'] = dict2['name']\n",
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" if dict2['gender'] == 'male':\n",
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" dict1[code]['sex'] = '男'\n",
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" else:\n",
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" dict1[code]['sex'] = '女'\n",
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" dict1[code]['birth'] = str(dict2['birth'])+'-01'\n",
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" dict1[code]['unit'] = '南京化工'\n",
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" dict1[code]['phone'] = phone\n",
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" dict1[code]['weight'] = dict2['weight']\n",
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" dict1[code]['waist'] = dict2['waist']\n",
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" dict1[code]['hip'] = dict2['hip']\n",
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" dict1[code]['tcm'] = tcm\n",
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"filename = 'data/result_南京化工-3.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False)\n",
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"print(len(dict1))"
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]
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},
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||||
{
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||||
"cell_type": "code",
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||||
"execution_count": null,
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||||
"id": "7392d5bf-c6a8-4cdf-8653-0fb4961f1405",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import csv\n",
|
||||
"import openpyxl\n",
|
||||
"import time\n",
|
||||
"from datetime import date\n",
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"\n",
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"\n",
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||||
"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/sql_20251027.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" list1.append(line)\n",
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"nn = 0\n",
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"for item in list1:\n",
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" dict2 = {}\n",
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" \n",
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" phone = str(item[0])[2:]\n",
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" content = json.loads(item[1])\n",
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" print(type(json.loads(content)))"
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]
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},
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||||
{
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||||
"cell_type": "markdown",
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"id": "89689b86-3fae-402e-a456-a646f0c7201f",
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@@ -603,10 +671,26 @@
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},
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{
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||||
"cell_type": "code",
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"execution_count": null,
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"execution_count": 24,
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"id": "e233e6c3-9c3f-42c7-8057-012bbcfe8b26",
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||||
"metadata": {},
|
||||
"outputs": [],
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||||
"metadata": {
|
||||
"execution": {
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||||
"iopub.execute_input": "2025-10-28T02:58:52.451889Z",
|
||||
"iopub.status.busy": "2025-10-28T02:58:52.451452Z",
|
||||
"iopub.status.idle": "2025-10-28T02:58:52.546239Z",
|
||||
"shell.execute_reply": "2025-10-28T02:58:52.545487Z",
|
||||
"shell.execute_reply.started": "2025-10-28T02:58:52.451850Z"
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||||
}
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},
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"outputs": [
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{
|
||||
"name": "stdout",
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||||
"output_type": "stream",
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"text": [
|
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"ok\n"
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]
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}
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||||
],
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||||
"source": [
|
||||
"import openpyxl\n",
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"import json\n",
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@@ -721,7 +805,7 @@
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" }\n",
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"\n",
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"\n",
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"filename = 'data/result_南京化工-2.json'\n",
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"filename = 'data/result_南京化工-3.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"i = 1\n",
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@@ -743,16 +827,17 @@
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" list3.append(k)\n",
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" list3.append(v['name'])\n",
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" list3.append(v['sex'])\n",
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" list3.append(v['phone'])\n",
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" list3.append(v['weight'])\n",
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" list3.append(v['yao'])\n",
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" list3.append(v['tun'])\n",
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" list3.append(v['waist'])\n",
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" list3.append(v['hip'])\n",
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" list3.append(kinds[kind])\n",
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" list3.append(near)\n",
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" for item in score:\n",
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" list3.append(item)\n",
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" list2.append(list3)\n",
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"\n",
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"filename = 'data/南化第二次问卷明细表（截至20250831）.xlsx'\n",
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"filename = 'data/南化第三次问卷明细表（截至20251028）.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"\n",
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@@ -863,10 +948,30 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 18,
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||||
"id": "23ffd115-72a3-4f90-9e64-ffa6420df8a4",
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"metadata": {},
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"outputs": [],
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2025-10-27T06:11:24.661422Z",
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||||
"iopub.status.busy": "2025-10-27T06:11:24.660908Z",
|
||||
"iopub.status.idle": "2025-10-27T06:11:24.977141Z",
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||||
"shell.execute_reply": "2025-10-27T06:11:24.975637Z",
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||||
"shell.execute_reply.started": "2025-10-27T06:11:24.661386Z"
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||||
}
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},
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"outputs": [
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{
|
||||
"ename": "KeyError",
|
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"evalue": "'month'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
|
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"Cell \u001b[0;32mIn[18], line 32\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 30\u001b[0m mydata[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgender\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfemale\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m---> 32\u001b[0m mydata[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmonth\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mv\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mmonth\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[1;32m 33\u001b[0m mydata[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfits\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 34\u001b[0m survey_list \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtcm\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpsy57\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mspine\u001b[39m\u001b[38;5;124m'\u001b[39m]\n",
|
||||
"\u001b[0;31mKeyError\u001b[0m: 'month'"
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]
|
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}
|
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],
|
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"source": [
|
||||
"import requests\n",
|
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"import json\n",
|
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@@ -876,11 +981,11 @@
|
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"headers = {\n",
|
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
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" }\n",
|
||||
"filename = 'data/result_南京化工-2.json'\n",
|
||||
"filename = 'data/result_南京化工-3.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"file_path ='./南京化工第二批问卷/'\n",
|
||||
"file_path ='./南京化工第三批问卷（251021）/'\n",
|
||||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||||
"i=0\n",
|
||||
"list2 = []\n",
|
||||
@@ -939,15 +1044,15 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
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"execution_count": 20,
|
||||
"execution_count": 19,
|
||||
"id": "fc2bfab2-7f56-4abf-b2c4-0fb49a0da563",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-09-01T07:20:49.606201Z",
|
||||
"iopub.status.busy": "2025-09-01T07:20:49.605939Z",
|
||||
"iopub.status.idle": "2025-09-01T07:21:08.746449Z",
|
||||
"shell.execute_reply": "2025-09-01T07:21:08.745281Z",
|
||||
"shell.execute_reply.started": "2025-09-01T07:20:49.606179Z"
|
||||
"iopub.execute_input": "2025-10-27T06:12:04.742517Z",
|
||||
"iopub.status.busy": "2025-10-27T06:12:04.738837Z",
|
||||
"iopub.status.idle": "2025-10-27T06:12:30.134155Z",
|
||||
"shell.execute_reply": "2025-10-27T06:12:30.133408Z",
|
||||
"shell.execute_reply.started": "2025-10-27T06:12:04.742463Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
@@ -955,7 +1060,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"83\n"
|
||||
"72\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -968,11 +1073,11 @@
|
||||
"headers = {\n",
|
||||
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
||||
" }\n",
|
||||
"filename = 'data/result_南京化工-2.json'\n",
|
||||
"filename = 'data/result_南京化工-3.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"file_path ='./南京化工第二批问卷/'\n",
|
||||
"file_path ='./南京化工第三批问卷/'\n",
|
||||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||||
"i=0\n",
|
||||
"list2 = []\n",
|
||||
|
||||
Reference in new issue
Block a user