381 lines
11 KiB
Plaintext
381 lines
11 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "4b3853d4-d30f-4b1d-99de-fa52777ce65c",
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"metadata": {},
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"source": [
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"## 体质指标问卷导入"
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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": null,
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"id": "202a0266-f578-4d75-b04c-5ae9957391bf",
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"metadata": {
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"tags": []
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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/淄博交警体质指标问卷.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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"dict2 = {}\n",
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"for items in dict1['pages']:\n",
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" for item in items['elements']:\n",
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" #print(item)\n",
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" dict2.setdefault(item['name'],{})\n",
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" name = item['name']\n",
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" dict2[name]['type'] = item['type']\n",
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" dict2[name]['title'] = item['title']['zh-cn']\n",
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" if 'isRequired' in item.keys():\n",
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" dict2[name]['isRequired'] = item['isRequired']\n",
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" else:\n",
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" dict2[name]['isRequired'] = False\n",
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" if item['type'] == 'text':\n",
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" dict2[name]['inputType'] = item['inputType']\n",
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" else:\n",
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" dict2[name]['choices'] = item['choices']\n",
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"filename = 'data/淄博交警体质问卷参数.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(dict2, 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": "5eed4886-a332-429f-9283-e109d48227fe",
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"metadata": {},
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"source": [
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"## 体质指标问卷整理"
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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": "857ca433-556a-4152-af7e-5f81434d11a7",
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"metadata": {
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"tags": []
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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/淄博交警体质问卷参数.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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"\n",
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"for k, v in dict1.items():\n",
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" if 'choices' in v.keys():\n",
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" dict2 = {}\n",
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" for item in v['choices']:\n",
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" dict2[str(item['value'])] = item['text']\n",
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" dict1[k]['choices'] = dict2\n",
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"filename = 'data/淄博交警体质问卷参数.json'\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('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": "d7ab7cfd-3448-45a6-abb4-04e7f317b843",
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"metadata": {},
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"source": [
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"## 问卷数据分析"
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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": "f5c6a39a-3e3e-4844-8ff8-b9ebb7e8f8af",
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"metadata": {
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"tags": []
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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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"filename = 'data/淄博交警体质问卷参数.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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"\n",
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"filename = 'data/Survey_20230522.json'\n",
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"\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl) \n",
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"for items in dict2['Survey']:\n",
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" #print(items)\n",
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" phone = items['phone']\n",
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" print(phone)\n",
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" data = json.loads(items['data'])\n",
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" for k, v in data.items():\n",
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" title = dict1[k]['title']\n",
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" if dict1[k]['type'] == 'radiogroup':\n",
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" value = dict1[k]['choices'][str(v)] \n",
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" if dict1[k]['type'] == 'text':\n",
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" value = v\n",
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" if dict1[k]['type'] == 'checkbox':\n",
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" value = []\n",
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" for choice in v:\n",
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" value.append(dict1[k]['choices'][str(choice)]) \n",
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" print(title,value) "
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]
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},
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{
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"cell_type": "markdown",
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"id": "366adf62-e2b1-4e14-8164-9511aec571aa",
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"metadata": {},
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"source": [
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"## 生成淄博警察人员信息汇总表"
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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": 56,
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"id": "0a92a167-0d8d-4c49-a696-fd4dbd04eb64",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-30T06:48:26.236906Z",
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"iopub.status.busy": "2023-05-30T06:48:26.236417Z",
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"iopub.status.idle": "2023-05-30T06:48:26.553550Z",
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"shell.execute_reply": "2023-05-30T06:48:26.552825Z",
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"shell.execute_reply.started": "2023-05-30T06:48:26.236874Z"
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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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"13853361818 已经存在！\n",
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"05332138406 已经存在！\n",
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"18705333980 已经存在！\n",
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"13070645243 已经存在！\n",
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"18705336013 已经存在！\n",
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"ok\n",
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"17805337253 已经存在！\n",
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"13305335697 已经存在！\n",
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"18705333572 已经存在！\n",
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"17805337157 已经存在！\n",
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"17805337611 已经存在！\n",
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"13964355603 已经存在！\n",
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"17805337215 已经存在！\n",
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"17805337257 已经存在！\n",
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"17615773020 已经存在！\n",
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"15505337203 已经存在！\n",
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"13869397003 已经存在！\n",
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"18053386976 已经存在！\n",
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"18053386979 已经存在！\n",
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"15253357267 已经存在！\n",
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"15206676826 已经存在！\n",
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"15265333315 已经存在！\n",
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"13011637601 已经存在！\n",
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"17805337235 已经存在！\n",
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"13153362550 已经存在！\n",
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"17685603319 已经存在！\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 glob,os,shutil\n",
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"from pathlib2 import Path\n",
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"import csv\n",
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"\n",
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"wb = openpyxl.load_workbook('data/淄博交警支队人员名单（排序花名册）.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(2, sheet.max_row+1):\n",
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" if sheet.cell(n,2).value is None:\n",
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" break\n",
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" else: \n",
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" phone = str(sheet.cell(n, 5).value)\n",
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" if phone in person.keys():\n",
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" print(phone,'已经存在！')\n",
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" else:\n",
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" person.setdefault(phone, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value \n",
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" xb = str(sheet.cell(n, 3).value)\n",
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" if xb == '1':\n",
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" sex = '男'\n",
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" elif xb =='2':\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" dict1['单位'] = \"交警支队\"\n",
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" dict1['部门'] = sheet.cell(n, 1).value\n",
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" person[phone] = dict1\n",
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"print('ok')\n",
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"filename = 'data/高新区.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl) \n",
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"for k,v in dict2.items():\n",
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" if 'phone' in v.keys():\n",
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" phone = str(v['phone'])\n",
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" if phone in person.keys():\n",
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" print(phone,'已经存在！')\n",
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" else:\n",
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" person.setdefault(phone, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = v['name'] \n",
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" dict1['sex'] = v['sex']\n",
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" dict1['单位'] = \"高新区\"\n",
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" if 'unit' in v.keys():\n",
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" dict1['部门'] = v['unit']\n",
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" person[phone] = dict1\n",
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"filename = 'data/淄博警察汇总.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": "c76b5512-699c-4051-88c5-e3f725fa9a0b",
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"metadata": {},
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"source": [
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"## 核对参加问卷人员"
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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": 62,
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"id": "9e0f66ea-09d6-41ec-8284-9a5e712c6cee",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-30T06:55:04.917464Z",
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"iopub.status.busy": "2023-05-30T06:55:04.916603Z",
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"iopub.status.idle": "2023-05-30T06:55:04.935262Z",
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"shell.execute_reply": "2023-05-30T06:55:04.934185Z",
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"shell.execute_reply.started": "2023-05-30T06:55:04.917424Z"
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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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"1 13718887655 未有记录\n",
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"2 15210715398 未有记录\n",
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"3 18600297579 未有记录\n",
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"4 付峰 交警支队\n",
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"5 孙长宁 交警支队\n",
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"6 张学军 交警支队\n",
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"7 李平 交警支队\n",
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"8 谢珺扬 交警支队\n",
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"9 高维成 交警支队\n",
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"10 张海天 交警支队\n",
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"11 董景发 交警支队\n",
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"12 陈庆永 交警支队\n",
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"13 魏玉兵 交警支队\n",
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"14 崔瑞房 交警支队\n",
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"15 韩俊达 交警支队\n",
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"16 宋道军 交警支队\n",
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"17 王若镔 交警支队\n",
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"18 邵珠峰 交警支队\n",
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"19 贾备 交警支队\n",
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"20 于会萍 交警支队\n",
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"21 王静 交警支队\n",
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"22 15054176063 未有记录\n",
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"23 高建红 交警支队\n",
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"24 巩本波 交警支队\n",
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"25 邵杰 交警支队\n",
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"26 宋业金 交警支队\n",
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"27 安兵 交警支队\n",
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"28 岳科学 交警支队\n",
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"29 戴维靖 交警支队\n",
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"30 闫仲荣 交警支队\n",
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"31 陈振国 交警支队\n",
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"32 王拥军 交警支队\n",
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"33 胡永吉 交警支队\n",
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"34 赵军 交警支队\n",
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"35 任振华 交警支队\n",
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"36 魏鹂娴 交警支队\n",
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"37 李春红 交警支队\n",
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"38 赵书辰 交警支队\n",
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"39 耿玥 交警支队\n",
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"40 甘军 交警支队\n",
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"41 姚秀波 交警支队\n",
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"42 张言辉 交警支队\n",
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"43 张明 交警支队\n",
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"44 韦璟 交警支队\n",
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"45 王学征 交警支队\n",
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"46 孙庆章 交警支队\n",
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"47 张天姿 交警支队\n",
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"48 张明易 交警支队\n",
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"49 王凌云 交警支队\n",
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"50 魏亮 交警支队\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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"\n",
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"filename = 'data/淄博警察汇总.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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"filename = 'data/Survey_20230530.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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"i = 0\n",
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"for item in list1:\n",
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" i+=1\n",
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" phone = item[2]\n",
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" if phone in dict1.keys():\n",
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" print(i,dict1[phone]['name'],dict1[phone]['单位'])\n",
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" else:\n",
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" print(i,phone,'未有记录')"
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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": "4203377b-579d-4267-a4a7-e27d2ef4a87c",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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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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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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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": "3.10.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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