20231018
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@@ -3,7 +3,9 @@
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{
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"cell_type": "markdown",
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"id": "bfa33ac5-8fe9-4845-8b1d-56c509afcb83",
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"metadata": {},
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"metadata": {
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"tags": []
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},
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"source": [
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"## 体质检测管理"
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]
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@@ -786,7 +788,9 @@
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{
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"cell_type": "markdown",
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"id": "f623d291-8d66-4246-a34f-a051115596ef",
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"metadata": {},
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"metadata": {
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"tags": []
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},
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"source": [
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"## 体检报告数据管理"
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]
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@@ -1171,10 +1175,235 @@
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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": "fbb13d70-6601-4421-8deb-26e717c37a8c",
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"metadata": {},
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"source": [
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"## 体质问卷管理"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7e0fe102-69d4-425c-bc1f-9a26cc974d9d",
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"metadata": {},
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"source": [
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"### 问卷人员导入"
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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": 7,
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"id": "714d4a20-9ca0-4439-880b-f68de8c0e2fb",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-18T04:28:34.758506Z",
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"iopub.status.busy": "2023-10-18T04:28:34.757933Z",
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"iopub.status.idle": "2023-10-18T04:28:34.828585Z",
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"shell.execute_reply": "2023-10-18T04:28:34.827501Z",
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"shell.execute_reply.started": "2023-10-18T04:28:34.758452Z"
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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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"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/职工健康提升项目志愿者报名表（汇总）.xlsx')\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(3, sheet.max_row+1):\n",
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" code = int(sheet.cell(n, 1).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['sex'] = sheet.cell(n, 5).value\n",
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" dict1['unit'] = sheet.cell(n, 2).value\n",
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" dict1['job'] = sheet.cell(n, 3).value\n",
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" dict1['age'] = int(sheet.cell(n, 6).value)\n",
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" dict1['phone'] = str(sheet.cell(n,7).value)\n",
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" dict1['note'] = sheet.cell(n,8).value\n",
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" person[code] = dict1\n",
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"filename = 'data/安庆职工健康提升志愿者.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('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e8774dfb-d9f5-44af-a118-4a106ceac9fc",
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"metadata": {},
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"source": [
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"### 导入问卷信息"
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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": 18,
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"id": "dcdd18b3-d7b7-49b1-b148-c2ea9a7799ff",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-18T04:52:32.821254Z",
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"iopub.status.busy": "2023-10-18T04:52:32.820749Z",
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"iopub.status.idle": "2023-10-18T04:52:32.885978Z",
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"shell.execute_reply": "2023-10-18T04:52:32.885231Z",
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"shell.execute_reply.started": "2023-10-18T04:52:32.821208Z"
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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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"3\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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"\n",
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"filename = 'data/安庆职工健康提升志愿者.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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"\n",
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"wj = {'psy_0556_sh':'心理问卷','tcm_0556_sh':'中医问卷','spine_0556_sh':'脊柱问卷'}\n",
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"wj_dm = {'psy_0556_sh':0,'tcm_0556_sh':1,'spine_0556_sh':2}\n",
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"list1 = []\n",
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"re_ta = {}\n",
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"filename = 'data/Survey_20231018.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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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" item = str(result[1])\n",
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" re_ta.setdefault(item,[])\n",
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" re_ta[item].append(result[2])\n",
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"print(len(re_ta))\n",
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"\n",
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"tj = {}\n",
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"for k ,v in dict1.items():\n",
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" phone = v['phone']\n",
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" tj.setdefault(k, [0,0,0])\n",
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" for k1,v1 in re_ta.items():\n",
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" if phone in v1:\n",
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" tj[k][wj_dm[k1]] = 1\n",
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"list1 = []\n",
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"for k, v in tj.items():\n",
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" list2 = []\n",
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" list2.append(k)\n",
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" list2.append(dict1[k]['name'])\n",
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" list2.append(dict1[k]['phone'])\n",
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" for item in v:\n",
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" list2.append(item)\n",
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" list1.append(list2)\n",
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" \n",
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"filename = 'data/安庆职工健康提升问卷情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"title = ['编号','员工姓名','手机号码','心理','中医','脊柱']\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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"\n",
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"\n",
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"wb.save(filename) \n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "8bc929e2-38f1-4dbd-820e-65d92b59ab26",
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"metadata": {},
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"source": [
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"### 导统计问卷新增手机号码"
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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": "ea4fffc4-3c6e-4f85-819f-52f969e04dd7",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-18T05:02:18.718756Z",
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"iopub.status.busy": "2023-10-18T05:02:18.717923Z",
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"iopub.status.idle": "2023-10-18T05:02:18.745164Z",
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"shell.execute_reply": "2023-10-18T05:02:18.743072Z",
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"shell.execute_reply.started": "2023-10-18T05:02:18.718679Z"
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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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"13865166211\n",
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"15905566828\n",
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"18055691637\n",
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"13855602427\n",
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"13966613066\n",
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"18755696791\n",
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"18055696268\n",
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"15856585658\n",
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"13966607917\n",
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"13855640093\n",
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"18155688687\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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"\n",
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"filename = 'data/安庆职工健康提升志愿者.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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"\n",
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"phone = set()\n",
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"phone1 = set()\n",
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"for k,v in dict1.items():\n",
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" phone.add(v['phone'])\n",
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"\n",
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"filename = 'data/Survey_20231018.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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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" if result[2] not in phone:\n",
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" phone1.add(result[2])\n",
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"for item in phone1:\n",
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" print(item)"
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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": "a7219084-9d0a-4027-9d51-5b6cc2f2ec9b",
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"id": "37bf232e-7db1-40a8-b8d6-4a182f839848",
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"metadata": {},
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"outputs": [],
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"source": []
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@@ -1182,7 +1411,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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@@ -1196,7 +1425,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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