699 lines
23 KiB
Plaintext
699 lines
23 KiB
Plaintext
{
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"cells": [
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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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"source": [
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"## 体质检测管理"
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]
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},
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{
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"cell_type": "markdown",
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"id": "78dc4774-e1b1-40d8-8783-12ada9db45be",
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"metadata": {},
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"source": [
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"### 体测人员导入"
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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": null,
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"id": "d2ea710d-34be-47ed-afd8-343137ee9ac5",
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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 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/安庆石化2022.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"list1 = []\n",
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"person = {}\n",
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"new_code = []\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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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 3).value\n",
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" dict1['sex'] = sheet.cell(n, 4).value\n",
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" dict1['unit'] = sheet.cell(n, 1).value\n",
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" dict1['id_num'] = sheet.cell(n,6).value\n",
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" person[code] = dict1\n",
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"filename = 'data/安庆炼化人员名单2022.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": "5178b8fc-408a-4d95-915c-2164f2596bc3",
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"metadata": {},
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"source": [
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"### 修改人员部门"
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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": "6e19f626-9732-4426-9124-b6f4ef5542bc",
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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 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/2022年安庆石化体测数据调整情况0921.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"data1 =list(sheet.values)\n",
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"del data1[:2]\n",
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"\n",
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"filename = 'data/安庆炼化人员名单2022.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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"for item in data1:\n",
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" if str(item[0]) in dict1.keys():\n",
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" dict1[str(item[0])]['unit'] = item[4]\n",
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" print(item[0],item[1],'已修改')\n",
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" else:\n",
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" print(item[0],item[1],'不存在！')\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": "7377e5d1-815d-4eb8-9bfa-9ca3a210a6e0",
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"metadata": {},
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"source": [
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"### 获取人员测试成绩"
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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": 176,
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"id": "6e738a0d-ffbf-4a73-9021-d024609a6eb4",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-09-21T23:52:36.616675Z",
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"iopub.status.busy": "2022-09-21T23:52:36.616155Z",
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"iopub.status.idle": "2022-09-21T23:52:36.862741Z",
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"shell.execute_reply": "2022-09-21T23:52:36.861607Z",
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"shell.execute_reply.started": "2022-09-21T23:52:36.616627Z"
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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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"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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"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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"#SQL语句为：\n",
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"# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n",
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"\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/136_220921.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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" user = str(result[4])\n",
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" m_item = str(result[0]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = str(result[6])\n",
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" re_ta[user]['unit'] = str(result[5])\n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[1])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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" re_ta[user][item_name]['得分'] =result[2]\n",
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"filename = 'data/result_2209.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl) \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": "540b0225-8651-4b37-8bc8-3899efbd71fb",
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"metadata": {},
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"source": [
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"### 比照往年年度人员信息"
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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": 177,
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"id": "46ccfb31-7cd8-4cc4-8d70-18a14f7943e8",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-09-21T23:59:09.201740Z",
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"iopub.status.busy": "2022-09-21T23:59:09.201191Z",
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"iopub.status.idle": "2022-09-21T23:59:10.457924Z",
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"shell.execute_reply": "2022-09-21T23:59:10.456853Z",
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"shell.execute_reply.started": "2022-09-21T23:59:09.201691Z"
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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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"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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"import openpyxl\n",
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"\n",
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"filename = 'data/result_安庆.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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"dict2 = {}\n",
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"filename = 'data/安庆石化2022.xlsx'\n",
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"wb = openpyxl.load_workbook(filename)\n",
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"sheet = wb.active\n",
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"data1 =list(sheet.values)\n",
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"del data1[0]\n",
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"for item in data1:\n",
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" id = item[5]\n",
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" dict2[id] = [item[2],item[1],item[0],item[3],item[4]]\n",
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"#print(dict2)\n",
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"dict3 = {}\n",
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"for k, v in dict1.items():\n",
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" if 'id' in v.keys():\n",
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" if v['id'] in dict2.keys():\n",
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" v['old_code'] = int(k)\n",
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" code = int(dict2[v['id']][1])\n",
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" dict3.setdefault(code, {})\n",
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" dict3[code] = v \n",
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"filename = 'data/安庆2021.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict3, 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": "a9bdeab3-5ddf-4f80-90fb-9301a2ff064a",
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"metadata": {},
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"source": [
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"### 比照人员两年成绩"
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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": 178,
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"id": "351aae7c-a3aa-4c22-99b9-701cf2395a85",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-09-22T00:00:18.837708Z",
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"iopub.status.busy": "2022-09-22T00:00:18.837131Z",
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"iopub.status.idle": "2022-09-22T00:00:20.116787Z",
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"shell.execute_reply": "2022-09-22T00:00:20.115669Z",
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"shell.execute_reply.started": "2022-09-22T00:00:18.837659Z"
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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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"import openpyxl\n",
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"\n",
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"filename = 'data/安庆2021.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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"list1 = dict1.keys()\n",
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"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"title = ['编号','姓名','部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"filename = 'data/result_2209.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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"list4 = []\n",
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"for k, v in dict2.items():\n",
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" if k in list1:\n",
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" list2 = [k,v['name'],v['unit']]\n",
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" list3 = []\n",
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" for item in items:\n",
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" # 获取2022年成绩\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \n",
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" \n",
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" else:\n",
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" list2.append('')\n",
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" # 获取2021年成绩\n",
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" if item in dict1[k].keys():\n",
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" list3.append(dict1[k][item]['成绩']) \n",
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" else:\n",
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" list3.append('')\n",
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" for cj in list3:\n",
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" list2.append(cj) \n",
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" list4.append(list2)\n",
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"filename = 'data/安庆石化成绩对照220921.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list4:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename) "
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]
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},
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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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"source": [
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"## 体检报告数据管理"
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]
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},
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{
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"cell_type": "markdown",
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"id": "38261495-3aa4-4572-a6e1-4e300c29be66",
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"metadata": {},
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"source": [
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"### 从excel表导入数据"
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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": "31a47b5f-f48e-4d6d-af8f-dd5383b5c5dd",
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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 os\n",
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"import openpyxl\n",
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"import json\n",
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"\n",
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"fi_path = 'data/安庆/'\n",
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"sheet_list = ['一览表', 'Ⅱ级高血压、Ⅲ级高血压', '心电图异常']\n",
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"dict1 = {}\n",
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"fl=glob.glob(f'{fi_path}*.xlsx')\n",
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"for fn in fl:\n",
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" print(fn) \n",
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" wb = openpyxl.load_workbook(fn)\n",
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" wb_name = os.path.basename(fn).split('.')[0]\n",
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" dict1.setdefault(wb_name,{})\n",
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" for sheet in wb.sheetnames:\n",
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" ws = wb[sheet]\n",
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" if sheet == '一览表':\n",
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" dict1[wb_name].setdefault(sheet,{})\n",
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" for n in range(2,ws.max_row+1):\n",
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" dict2 = {}\n",
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" m_name = ws.cell(n,4).value\n",
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" dict1[wb_name][sheet].setdefault(m_name,{})\n",
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" dict2['部门'] = ws.cell(n,2).value\n",
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" dict2['工号'] = ws.cell(n,3).value\n",
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" dict2['性别'] = ws.cell(n,5).value\n",
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" dict2['年龄'] = ws.cell(n,6).value\n",
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" dict2['接害工龄'] = ws.cell(n,7).value\n",
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" dict2['工种'] = ws.cell(n,8).value\n",
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" dict2['危害因素'] = ws.cell(n,9).value\n",
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" dict2['在岗类型'] = ws.cell(n,10).value\n",
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" dict2['体检结果'] = ws.cell(n,11).value\n",
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" dict2['检查结果'] = ws.cell(n,12).value\n",
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" dict1[wb_name][sheet][m_name] = dict2\n",
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" \n",
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" if sheet == 'Ⅱ级高血压、Ⅲ级高血压':\n",
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" dict1[wb_name].setdefault(sheet,{})\n",
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" for n in range(2,ws.max_row+1):\n",
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" dict2 = {}\n",
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" m_name = ws.cell(n,4).value\n",
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" dict1[wb_name][sheet].setdefault(m_name,{})\n",
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" dict2['工号'] = ws.cell(n,3).value\n",
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" dict2['性别'] = ws.cell(n,5).value\n",
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" dict2['年龄'] = ws.cell(n,6).value\n",
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" dict2['接害工龄'] = ws.cell(n,7).value \n",
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" dict2['总结'] = ws.cell(n,11).value\n",
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" dict2['诊断'] = ws.cell(n,12).value\n",
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" dict1[wb_name][sheet][m_name] = dict2\n",
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" \n",
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" if sheet == '心电图异常':\n",
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" dict1[wb_name].setdefault(sheet,{})\n",
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" for n in range(2,ws.max_row+1):\n",
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" dict2 = {}\n",
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" m_name = ws.cell(n,4).value\n",
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" dict1[wb_name][sheet].setdefault(m_name,{})\n",
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" dict2['工号'] = ws.cell(n,3).value\n",
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" dict2['性别'] = ws.cell(n,5).value\n",
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" dict2['年龄'] = ws.cell(n,6).value\n",
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" dict2['接害工龄'] = ws.cell(n,7).value \n",
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" dict2['总结'] = ws.cell(n,11).value\n",
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" dict2['诊断'] = ws.cell(n,12).value\n",
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" dict2['备注'] = ws.cell(n,14).value\n",
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" dict1[wb_name][sheet][m_name] = dict2\n",
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" \n",
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" wb.close()\n",
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"with open('data/安庆体检报告.json','w') as fl:\n",
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" json.dump(dict1,fl) \n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9a564e48-95e3-4255-b70e-e845c59edfaf",
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"metadata": {},
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"source": [
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"### 体检结果分解"
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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": "56a0804b-8626-4c52-8ff4-29d4322b1bdc",
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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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"import re\n",
|
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"with open('data/安庆体检报告.json','r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"mo1 = r'[一二三四五六七八九十]、'\n",
|
|
"list_ks = set()\n",
|
|
"#dict2 = dict1['丙烯腈装置']['一览表']\n",
|
|
"#print(dict2)\n",
|
|
"for k, v in dict1.items():\n",
|
|
" print(k)\n",
|
|
" for k1, v1 in v['一览表'].items():\n",
|
|
" if v1['体检结果']:\n",
|
|
" ss = v1['体检结果']\n",
|
|
" \n",
|
|
" list1 = re.split(mo1,ss)\n",
|
|
" if '' in list1:\n",
|
|
" list1.remove('')\n",
|
|
" for item in list1:\n",
|
|
" list_ks.add(item.split('_x000D_')[0])\n",
|
|
" \n",
|
|
"print(list_ks)\n",
|
|
" \n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "54515a61-6711-44a8-9959-8a25d21ae8a6",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import re\n",
|
|
"with open('data/安庆体检报告.json','r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"mo1 = r'[一二三四五六七八九十]、'\n",
|
|
"list_ks = set()\n",
|
|
"dict2 = dict1['丙烯腈装置']['一览表']\n",
|
|
"dict3 = {}\n",
|
|
"i = 1\n",
|
|
"#print(dict2)\n",
|
|
"for k, v in dict2.items():\n",
|
|
" dict3.setdefault(i,{})\n",
|
|
" ss = v['体检结果']\n",
|
|
" list1 = re.split(mo1,ss)\n",
|
|
" list1.remove('')\n",
|
|
" for item in list1:\n",
|
|
" list2 = item.split('_x000D_')\n",
|
|
" if '' in list2:\n",
|
|
" list2.remove('')\n",
|
|
" list_ks.add(list2[0])\n",
|
|
" dict3[i][item.split('_x000D_')[0]] =list2[1:]\n",
|
|
" i+=1\n",
|
|
"print(list_ks)\n",
|
|
"#print(dict3)\n",
|
|
"for k, v in dict3.items():\n",
|
|
" for k1, v1 in v.items():\n",
|
|
" if k1 =='检验科':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" print(v1)\n",
|
|
" if k1 =='彩超检查室':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" #print(v1)\n",
|
|
" if k1 =='心电图检查室':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" #print(v1)\n",
|
|
" if k1 =='肺功能检查室':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" #print(v1)\n",
|
|
" if k1 =='碳14尿素':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" #print(v1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "5968c4b2-d866-4d91-b3e5-f0636420ba9a",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 病症统计（Ⅱ级高血压、Ⅲ级高血压、心电图异常）"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "96d9656e-7f63-4981-8272-21e1ef051287",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import re\n",
|
|
"with open('data/安庆体检报告.json','r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"dict3 = {}\n",
|
|
"for k, v in dict1.items():\n",
|
|
" bm = k\n",
|
|
" dict2 = {}\n",
|
|
" if 'Ⅱ级高血压、Ⅲ级高血压' in v.keys():\n",
|
|
" for k1, v1 in v['Ⅱ级高血压、Ⅲ级高血压'].items():\n",
|
|
" mbz = 'Ⅱ级高血压、Ⅲ级高血压'\n",
|
|
" dict2.setdefault(k1,{})\n",
|
|
" dict2[k1]['工号'] = v1['工号']\n",
|
|
" dict2[k1]['性别'] = v1['性别']\n",
|
|
" dict2[k1]['年龄'] = v1['年龄']\n",
|
|
" dict2[k1]['接害工龄'] = v1['接害工龄']\n",
|
|
" dict2[k1].setdefault(mbz,{})\n",
|
|
" dict2[k1][mbz]['总结'] = v1['总结']\n",
|
|
" dict2[k1][mbz]['诊断'] = v1['诊断']\n",
|
|
" if '心电图异常' in v.keys():\n",
|
|
" for k1, v1 in v['心电图异常'].items():\n",
|
|
" mbz = '心电图异常'\n",
|
|
" dict2.setdefault(k1,{})\n",
|
|
" dict2[k1]['工号'] = v1['工号']\n",
|
|
" dict2[k1]['性别'] = v1['性别']\n",
|
|
" dict2[k1]['年龄'] = v1['年龄']\n",
|
|
" dict2[k1]['接害工龄'] = v1['接害工龄']\n",
|
|
" dict2[k1].setdefault(mbz,{})\n",
|
|
" dict2[k1][mbz]['总结'] = v1['总结']\n",
|
|
" dict2[k1][mbz]['诊断'] = v1['诊断']\n",
|
|
" if '备注' in v1.keys():\n",
|
|
" dict2[k1][mbz]['备注'] = v1['备注']\n",
|
|
" if len(dict2) >0:\n",
|
|
" dict3[k] = dict2\n",
|
|
"with open('data/安庆体检报告_人员整理.json','w') as fl:\n",
|
|
" json.dump(dict3,fl) \n",
|
|
" \n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "30225b10-4307-4617-a274-cce8771e8983",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 病症筛选（Ⅱ级高血压、Ⅲ级高血压、心电图异常）"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d4867b96-e7ba-420c-9b6d-8bc50eb936ae",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import re\n",
|
|
"with open('data/安庆体检报告_人员整理.json','r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"mo1 = r'心电图结论:(.*?)_x000D_'\n",
|
|
"mo =r'血压:(.*?)_x000D_'\n",
|
|
"mo2 = '(.?)级高血压'\n",
|
|
"dict2 = {}\n",
|
|
"\n",
|
|
"for k, v in dict1.items():\n",
|
|
" bm = k\n",
|
|
" dict2.setdefault(bm,{})\n",
|
|
" for k1, v1 in v.items():\n",
|
|
" dict2[bm].setdefault(k1,{})\n",
|
|
" dict2[bm][k1]['工号'] = v1['工号']\n",
|
|
" dict2[bm][k1]['性别'] = v1['性别']\n",
|
|
" if 'Ⅱ级高血压、Ⅲ级高血压' in v1.keys():\n",
|
|
" \n",
|
|
" s = v1['Ⅱ级高血压、Ⅲ级高血压']['诊断']\n",
|
|
" if '级高血压' in s:\n",
|
|
" list2 = re.search( mo2, s)\n",
|
|
" dict2[bm][k1]['高血压'] = [list2.group(1)]\n",
|
|
" ss = v1['Ⅱ级高血压、Ⅲ级高血压']['总结']\n",
|
|
" if '血压:' in ss:\n",
|
|
" list1 = re.search( mo, ss)\n",
|
|
" dict2[bm][k1]['高血压'].append(list1.group(1))\n",
|
|
" else:\n",
|
|
" dict2[bm][k1]['高血压'].append('无血压数据')\n",
|
|
" if '心电图异常' in v1.keys():\n",
|
|
" dict2[bm][k1].setdefault('心电图',[])\n",
|
|
" ss = v1['心电图异常']['总结']\n",
|
|
" if '心电图结论:' in ss:\n",
|
|
" list1 = re.search( mo1, ss)\n",
|
|
" dict2[bm][k1]['心电图'] = [list1.group(1)]\n",
|
|
" #print(k,k1,list1.group(1),list2.group(1))\n",
|
|
" else:\n",
|
|
" dict2[bm][k1]['心电图'].append(v1['心电图异常']['备注'])\n",
|
|
"print(len(dict2))\n",
|
|
"with open('data/安庆体检报告_人员统计.json','w') as fl:\n",
|
|
" json.dump(dict2,fl) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "183524e5-61ee-48a9-87f6-f07a78b88504",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 病症导出至Excel"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "c0aa1258-a5f9-44c5-a959-ab29a053c8a4",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import openpyxl\n",
|
|
"import json\n",
|
|
"\n",
|
|
"list1 = []\n",
|
|
"with open('data/安庆体检报告_人员统计.json','r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"for k, v in dict1.items():\n",
|
|
" bm =k\n",
|
|
" for k1, v1 in v.items():\n",
|
|
" #print(bm,k1)\n",
|
|
" list2 = []\n",
|
|
" xm = k1\n",
|
|
" if '工号' in v1.keys():\n",
|
|
" gh = v1['工号']\n",
|
|
" else:\n",
|
|
" gh = ''\n",
|
|
" sex = v1['性别']\n",
|
|
" if '高血压' in v1.keys():\n",
|
|
" lx = v1['高血压'][0]+'级高血压'\n",
|
|
" xyz = v1['高血压'][1]\n",
|
|
" else:\n",
|
|
" lx = ''\n",
|
|
" xyz = ''\n",
|
|
" if '心电图' in v1.keys():\n",
|
|
" xdt = v1['心电图'][0]\n",
|
|
" else:\n",
|
|
" xdt = ''\n",
|
|
" list2 = [bm,xm,gh,sex,lx,xyz,xdt]\n",
|
|
" list1.append(list2)\n",
|
|
"#print(list1) \n",
|
|
"\n",
|
|
"filename = 'data/安庆体检情况表.xlsx'\n",
|
|
"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
|
"title = ['部门','员工姓名','工号','性别','高血压级别','血压值','心电图异常情况']\n",
|
|
"sheet.append(title)\n",
|
|
"for row in list1:\n",
|
|
" sheet.append(row)\n",
|
|
"\n",
|
|
"\n",
|
|
"wb.save(filename)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "f2f2f206-2558-4cc3-9519-c4c677b71237",
|
|
"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
|
|
}
|