663 lines
18 KiB
Plaintext
663 lines
18 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "f501bde1-90cb-40c4-9dd4-533c27f81be5",
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"metadata": {},
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"source": [
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"## 调查报告线下数据管理"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ced4bf30-e7ea-4c4c-ae46-8720ffc07a76",
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"metadata": {},
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"source": [
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"## 羊庙人员信息导入"
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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": 109,
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"id": "9b2b755e-049e-48c5-87d3-dd37dceb59fe",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-03-25T13:01:16.720629Z",
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"iopub.status.busy": "2023-03-25T13:01:16.720098Z",
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"iopub.status.idle": "2023-03-25T13:01:16.793226Z",
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"shell.execute_reply": "2023-03-25T13:01:16.791845Z",
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"shell.execute_reply.started": "2023-03-25T13:01:16.720582Z"
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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 json\n",
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"\n",
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"filename = 'data/羊庙测试人员信息.json'\n",
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"\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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"dict2 = {}\n",
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"for k,v in dict1.items():\n",
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" for item in v:\n",
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" bh = item['avatar_id']\n",
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" del item['avatar_id']\n",
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" dict2[bh] = item\n",
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"filename = 'data/羊庙人员名单.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(dict2, fl, ensure_ascii=False,default=str)\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": "00e9f538-c0f5-46a0-b768-51480ad3fbaf",
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"metadata": {},
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"source": [
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"## 获取参加体测人员编号"
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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": 106,
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"id": "d89e0e5e-0782-40a3-bba3-862cc9865d4e",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-03-25T12:53:20.720371Z",
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"iopub.status.busy": "2023-03-25T12:53:20.719832Z",
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"iopub.status.idle": "2023-03-25T12:53:20.755754Z",
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"shell.execute_reply": "2023-03-25T12:53:20.754239Z",
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"shell.execute_reply.started": "2023-03-25T12:53:20.720324Z"
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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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"465\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 time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\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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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息:\")\n",
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"filename = 'data/140.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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"list2 = []\n",
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"for result in list1:\n",
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" user = int(result[2])\n",
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" if user not in list2:\n",
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" list2.append(user)\n",
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"list2.sort()\n",
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"print(len(list2))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2c48f588-135a-4d1a-b01e-96222b70b987",
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"metadata": {},
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"source": [
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"## 根据风险筛选统计卡获取信息"
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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": 110,
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"id": "e76837e8-cdf4-41e0-9d51-6ae5223de813",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-03-25T13:01:26.806474Z",
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"iopub.status.busy": "2023-03-25T13:01:26.805933Z",
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"iopub.status.idle": "2023-03-25T13:01:26.931144Z",
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"shell.execute_reply": "2023-03-25T13:01:26.929813Z",
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"shell.execute_reply.started": "2023-03-25T13:01:26.806426Z"
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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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"440\n",
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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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"import time\n",
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"\n",
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"wb = openpyxl.load_workbook('data/杨庙运动风险筛查统计表.xlsx')\n",
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"sheet = wb.active\n",
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"person = {}\n",
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"for n in range(2, 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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" if sheet.cell(n, 8).value is not None:\n",
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" name = sheet.cell(n, 8).value\n",
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" else:\n",
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" name ='不详'\n",
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" dict1['name'] = name\n",
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" if sheet.cell(n, 9).value is not None:\n",
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" dict1['birth'] = str(sheet.cell(n, 9).value).split(' ')[0]\n",
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" if sheet.cell(n, 10).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n, 10).value)\n",
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" if sheet.cell(n,11).value is not None:\n",
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" dict1['id_num'] = sheet.cell(n,11).value\n",
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" person[code] = dict1\n",
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"print(len(person))\n",
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"filename = 'data/杨庙运动风险筛查统计表信息.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False,default=str)\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": "6cc6b614-85e2-43fd-bc97-301fc776fe29",
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"metadata": {},
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"source": [
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"## 根据恢复版获取信息"
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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": 111,
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"id": "1293cdaa-1fdf-43a5-99ce-a031a76f6688",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-03-25T13:01:43.947501Z",
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"iopub.status.busy": "2023-03-25T13:01:43.946930Z",
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"iopub.status.idle": "2023-03-25T13:01:45.320648Z",
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"shell.execute_reply": "2023-03-25T13:01:45.319280Z",
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"shell.execute_reply.started": "2023-03-25T13:01:43.947454Z"
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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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"350\n",
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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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"import time\n",
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"\n",
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"wb = openpyxl.load_workbook('data/羊庙恢复版.xlsx')\n",
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"sheet = wb.active\n",
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"person = {}\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n, 4).value is not None: \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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" name = sheet.cell(n, 5).value\n",
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" dict1['name'] = name\n",
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" dict1['bh'] = n - 1\n",
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" dict1['sex'] = sheet.cell(n, 6).value\n",
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" if sheet.cell(n, 9).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n, 9).value)\n",
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" if sheet.cell(n,8).value is not None:\n",
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" dict1['id_num'] = sheet.cell(n,8).value\n",
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" if sheet.cell(n,3).value is not None:\n",
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" dict1['unit'] = sheet.cell(n,3).value\n",
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" person[code] = dict1\n",
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"print(len(person))\n",
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"filename = 'data/杨庙恢复版信息.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False,default=str)\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": "de1ce95b-4590-4eee-bd51-d37beabd6f87",
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"metadata": {},
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"source": [
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"## 风险筛选统计卡可用人员信息"
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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": 112,
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"id": "f21fff31-0da6-4c1a-bf7c-8c4a1d4a3ecf",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-03-25T13:01:54.814448Z",
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"iopub.status.busy": "2023-03-25T13:01:54.813880Z",
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"iopub.status.idle": "2023-03-25T13:01:54.856798Z",
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"shell.execute_reply": "2023-03-25T13:01:54.855640Z",
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"shell.execute_reply.started": "2023-03-25T13:01:54.814400Z"
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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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"103\n",
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"314\n",
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"555\n",
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"666\n",
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"777\n",
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"999\n",
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"1000\n",
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"1001\n",
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"2367\n",
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"3456\n",
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"6000\n",
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"6001\n",
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"6002\n",
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"6003\n",
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"6602\n",
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"8888\n",
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"8889\n",
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"9999\n",
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"10000\n",
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"11112\n",
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"66666\n",
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"77777\n",
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"88888\n",
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"98000\n",
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"99999\n",
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"111111\n",
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"888888\n",
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"999998\n",
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"999999\n",
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"9999999\n",
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"999999999\n"
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]
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}
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],
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"source": [
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息:\")\n",
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"filename = 'data/140.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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"list2 = []\n",
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"for result in list1:\n",
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" user = int(result[2])\n",
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" if user not in list2:\n",
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" list2.append(user)\n",
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"list2.sort()\n",
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"set1 = set()\n",
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"filename = 'data/杨庙恢复版信息.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict_base = json.load(fl)\n",
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"for k, v in dict_base.items():\n",
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" set1.add(int(k))\n",
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"filename = 'data/杨庙运动风险筛查统计表信息.json'\n",
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"\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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"list_fx = []\n",
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"\n",
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"for k,v in dict1.items():\n",
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" \n",
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" if int(k) in list2 and k not in dict_base.keys() and v['name'] != '不详': \n",
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" set1.add(int(k))\n",
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"#print(len(list_fx))\n",
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"#print(len(set1)) \n",
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"for item in list2:\n",
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" if item not in set1:\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": "markdown",
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"id": "b08187a6-41d9-40ec-bc62-d99969148fe7",
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"metadata": {},
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"source": [
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"## 补充恢复版信息"
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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": 126,
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"id": "50a5e0f9-3850-48ac-9f3a-f5a7be51a7fd",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-03-25T13:36:31.137236Z",
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"iopub.status.busy": "2023-03-25T13:36:31.136695Z",
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"iopub.status.idle": "2023-03-25T13:36:31.342725Z",
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"shell.execute_reply": "2023-03-25T13:36:31.341445Z",
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"shell.execute_reply.started": "2023-03-25T13:36:31.137189Z"
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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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"438\n",
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"1 98776 唐庆振\n",
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"2 398 黄志全\n",
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"3 388 施怡如\n",
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"4 98767 张莉\n",
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"5 98766 张爱芹\n",
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"6 367 李树强\n",
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"7 339 刘俊英\n",
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"8 338 刘树训\n",
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"9 98765 张红霞\n",
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"10 314 不详\n",
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"11 313 王祝娥\n",
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"12 312 赵芝堂\n",
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"13 311 吕秀英\n",
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"14 308 刘玉娥\n",
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"15 307 程潍芳\n",
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"16 305 韩春光\n",
|
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"17 304 赵娥\n",
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"18 299 盖彦玮\n",
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"19 288 盖汝亭\n",
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"20 280 柯天新\n",
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"21 247 程华英\n",
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"22 246 郭俊敏\n",
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"23 244 罗桂贤\n",
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"24 235 胡巧英\n",
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"25 232 许义田\n",
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"26 230 韩红华\n",
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"27 226 杨秀荣\n",
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"28 223 樊风亭\n",
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"29 218 程玉良\n",
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"30 213 张金宗\n",
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"31 208 王小冬\n",
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"32 200 李勇军\n",
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"33 196 王连秀\n",
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"34 188 杨志敏\n",
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"35 151 许海仙\n",
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"36 149 盖梦娜\n",
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"37 148 冯静静\n",
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"38 147 王海方\n",
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"39 145 裴\n",
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"40 136 刘兆合\n",
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"41 134 张荣俊\n",
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"42 120 郑凤\n",
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"43 114 许建玲\n",
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"44 103 不详\n",
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"45 102 孙海莹\n",
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"46 99 周\n",
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"47 90 刘桂英\n",
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"48 89 石云贞\n",
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"49 80 刘凤英\n",
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"50 74 李若梅\n",
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"51 65 许秀凤\n",
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"52 64 刘小凤\n",
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"53 62 吕吉刚\n",
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"54 60 盖\n",
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"55 47 王其美\n",
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"56 38 罗炳顺\n",
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"57 35 藏学亮\n",
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"58 34 胡世杰\n",
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"59 29 盖叔臣\n",
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"60 21 黄雯青\n",
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"61 16 王金花\n",
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"62 14 石立华\n",
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"ok\n"
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]
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}
|
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],
|
|
"source": [
|
|
"filename = 'data/杨庙恢复版信息.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict_base = json.load(fl)\n",
|
|
"for k, v in dict_base.items():\n",
|
|
" set1.add(int(k))\n",
|
|
"filename = 'data/杨庙运动风险筛查统计表信息.json'\n",
|
|
"\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"for k,v in dict_base.items():\n",
|
|
" if k in dict1.keys() and 'phone' not in v.keys() and 'phone' in dict1[k].keys():\n",
|
|
" #print(k,v['name'])\n",
|
|
" dict_base[k]['phone'] = dict1[k]['phone']\n",
|
|
"\n",
|
|
"for k, v in dict1.items():\n",
|
|
" if int(k) in list2 and k not in dict_base.keys():\n",
|
|
" dict_base[k] = v\n",
|
|
" \n",
|
|
"print(len(dict_base))\n",
|
|
"#print(dict_base)\n",
|
|
"filename = 'data/羊庙人员名单.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict2 = json.load(fl)\n",
|
|
"i = 1\n",
|
|
"for k, v in dict_base.items():\n",
|
|
" if 'bh' not in v.keys():\n",
|
|
" name = v['name']\n",
|
|
" n = 0\n",
|
|
" for k1,v1 in dict2.items():\n",
|
|
" if name == v1['name']:\n",
|
|
" bh = k1\n",
|
|
" n = n+1\n",
|
|
" if n ==1:\n",
|
|
" dict_base[k]['bh'] = bh\n",
|
|
" else:\n",
|
|
" print(i,k,v['name'])\n",
|
|
" i+=1\n",
|
|
"filename = 'data/杨庙补充汇总信息.json'\n",
|
|
"with open(filename, 'w') as fl:\n",
|
|
" json.dump(dict_base, fl, ensure_ascii=False,default=str)\n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "d31fa9b7-26d8-4101-94d1-f41723428aa9",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 成年问卷导入"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "dc20aabb-3942-49b9-8841-8e8a0823033a",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import openpyxl\n",
|
|
"import json\n",
|
|
"\n",
|
|
"\n",
|
|
"wb = openpyxl.load_workbook('data/羊庙问卷统计表(成年组).xlsx')\n",
|
|
"sheet = wb.active\n",
|
|
"# sheets = wb.sheetnames\n",
|
|
"dict1 = {}\n",
|
|
"dict3 = {}\n",
|
|
"no_xinli = [108,389,268,270]\n",
|
|
"sheet = wb.active\n",
|
|
"data1 =list(sheet.values)\n",
|
|
"list_bh = data1[0][1:]\n",
|
|
"del data1[0]\n",
|
|
"print(len(list_bh))\n",
|
|
"for i in range(1,len(list_bh)+1):\n",
|
|
" list2 = []\n",
|
|
" \n",
|
|
" for item in data1:\n",
|
|
" list2.append(item[i])\n",
|
|
" dict1[list_bh[i-1]] = list2\n",
|
|
"for k, v in dict1.items():\n",
|
|
" if 0 in v:\n",
|
|
" print(k)\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "75dda87e-804e-42ba-b1a4-08c8a8b65050",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 老年问卷导入"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "09a354e6-a07a-40b8-9b8c-3499fb0b7c28",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import openpyxl\n",
|
|
"import json\n",
|
|
"\n",
|
|
"\n",
|
|
"wb = openpyxl.load_workbook('data/羊庙问卷统计表(老年组).xlsx')\n",
|
|
"sheet = wb.active\n",
|
|
"# sheets = wb.sheetnames\n",
|
|
"dict1 = {}\n",
|
|
"dict3 = {}\n",
|
|
"no_xinli = [286]\n",
|
|
"sheet = wb.active\n",
|
|
"data1 =list(sheet.values)\n",
|
|
"list_bh = data1[0][1:]\n",
|
|
"print(list_bh)\n",
|
|
"del data1[0]\n",
|
|
"print(len(list_bh))\n",
|
|
"for i in range(1,len(list_bh)+1):\n",
|
|
" list2 = []\n",
|
|
" \n",
|
|
" for item in data1:\n",
|
|
" list2.append(item[i])\n",
|
|
" dict1[list_bh[i-1]] = list2\n",
|
|
"for k, v in dict1.items():\n",
|
|
" if 0 in v or ' ' in v:\n",
|
|
" print(k)\n",
|
|
"print(dict1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "3262d713-92a4-4790-81a3-976ff308ee3d",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 统计网络问卷信息"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 119,
|
|
"id": "08980670-fda9-4660-a619-2f5f5ed8d334",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2023-03-25T13:14:20.914416Z",
|
|
"iopub.status.busy": "2023-03-25T13:14:20.913887Z",
|
|
"iopub.status.idle": "2023-03-25T13:14:20.939567Z",
|
|
"shell.execute_reply": "2023-03-25T13:14:20.938206Z",
|
|
"shell.execute_reply.started": "2023-03-25T13:14:20.914370Z"
|
|
},
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"68\n",
|
|
"68\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"filename = 'data/merge1.json'\n",
|
|
"\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"#print(dict1)\n",
|
|
"filename = 'data/杨庙补充汇总信息.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict2 = json.load(fl)\n",
|
|
"dict3 = {}\n",
|
|
"for k, v in dict1.items():\n",
|
|
" print(len(v))\n",
|
|
" for item in v:\n",
|
|
" phone = item['phone']\n",
|
|
" dict3.setdefault(phone,{})\n",
|
|
" #dict3[phone]['data'] = v['data']\n",
|
|
" for k1,v1 in dict2.items():\n",
|
|
" if 'phone' in v1.keys() and phone == v1['phone']:\n",
|
|
" dict3[phone]['bh'] = k1\n",
|
|
"print(len(dict3)) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "f69677a3-57bb-43b0-9d62-38330d86bddd",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"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": "3.8.10"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|