1732 lines
54 KiB
Plaintext
1732 lines
54 KiB
Plaintext
{
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"cells": [
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{
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||
"cell_type": "markdown",
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||
"id": "92891af2-e909-4b8e-a08a-b5b5e4a1c732",
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"metadata": {},
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"source": [
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"# 体质测试"
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]
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},
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{
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"cell_type": "markdown",
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"id": "338fb8da-815a-4536-ae91-4f461ba9401f",
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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": "ba24132c-133f-4508-8fe7-e68d1908b6e9",
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||
"metadata": {},
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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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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/镇海体质监测报名.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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" code = int(sheet.cell(n, 1).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value\n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" dict1['unit'] = sheet.cell(n, 7).value\n",
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" if sheet.cell(n, 5).value is not None:\n",
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" dict1['gh'] = sheet.cell(n, 5).value\n",
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" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
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" if sheet.cell(n, 4).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n,4).value)\n",
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" person[code] = dict1\n",
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"filename = 'data/镇海.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": "10ddfd3b-697c-4459-8bed-147b22f88239",
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"metadata": {},
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"source": [
|
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"## 生成读卡系统文件"
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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": "63ab2d5b-3a0a-4ac7-a3e7-b3a34e621e98",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/镇海.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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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" #if dict1['sex'] =='男':\n",
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" # sex = 1\n",
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" \n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/data_镇海.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b6dd08b0-f58c-4dc1-86a9-e7b2b84478c3",
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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": null,
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"id": "5d864909-d10f-461d-8e6e-dc5c43613576",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import 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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"filename = 'data/镇海.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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"filename = 'data/places_result_20240922.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[2])\n",
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" #re_ta[user]['sub_unit'] = dict1[user]['sub_unit']\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[4])/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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"print(len(re_ta))\n",
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"filename = 'data/result_镇海.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "markdown",
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||
"id": "a08c6b65-a390-451b-b1a5-fc474db40035",
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"metadata": {},
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"source": [
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"## 导出测试人员信息"
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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": 108,
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"id": "bc79f0d2-62a2-40c8-bd74-9c7ff17bec8e",
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||
"metadata": {
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||
"execution": {
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||
"iopub.execute_input": "2024-09-30T06:59:45.541438Z",
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||
"iopub.status.busy": "2024-09-30T06:59:45.540672Z",
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||
"iopub.status.idle": "2024-09-30T06:59:46.017490Z",
|
||
"shell.execute_reply": "2024-09-30T06:59:46.016942Z",
|
||
"shell.execute_reply.started": "2024-09-30T06:59:45.541365Z"
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||
}
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||
},
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||
"outputs": [],
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||
"source": [
|
||
"import json\n",
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"import openpyxl\n",
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"\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','性别','单位','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']\n",
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"\n",
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"filename = 'data/result_镇海.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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"filename = 'data/镇海体测人员.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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" \n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(v['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit']) \n",
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" for item in items:\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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" elif item =='name':\n",
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" list2.append(v[item])\n",
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" else:\n",
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" list2.append('')\n",
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" list2.append(dict2[k]['gwxl'])\n",
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" list2.append(dict2[k]['gzz'])\n",
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" list1.append(list2)\n",
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"filename = 'data/镇海体测情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"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": "0c2dfa71-8680-4ec6-938d-d37eeba4d4f9",
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||
"metadata": {},
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||
"source": [
|
||
"## 统计未体测人员明细表"
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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": null,
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||
"id": "cf22739a-5cf3-47fd-b87a-158a2e2d5a95",
|
||
"metadata": {},
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||
"outputs": [],
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||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
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||
"\n",
|
||
"filename = 'data/result_镇海.json'\n",
|
||
"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/镇海1.json'\n",
|
||
"with open(filename,'r') as fl:\n",
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||
" dict2 = json.load(fl)\n",
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"\n",
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"list1 = []\n",
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"\n",
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"i = 1\n",
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||
"for k, v in dict2.items(): \n",
|
||
" if k not in dict1.keys():\n",
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" list2 = [i,k,v['name'],v['unit']]\n",
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" i+=1\n",
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||
" list1.append(list2)\n",
|
||
"#print(list1)\n",
|
||
"filename = f'data/镇海未测试人员名单（截至20240922）.xlsx'\n",
|
||
"title = ['序号','员工编号','姓名','部门']\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row) \n",
|
||
"wb.save(filename)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "286a65eb-995f-4183-a4e5-6d907ba21151",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 清理重复人员"
|
||
]
|
||
},
|
||
{
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||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "f4dade65-f760-4220-8a65-39843688a60a",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
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"\n",
|
||
"filename = 'data/镇海.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
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" dict1 = json.load(fl)\n",
|
||
"print(len(dict1))\n",
|
||
"dict2 = {}\n",
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||
"for k, v in dict1.items():\n",
|
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" if 'phone' in v.keys():\n",
|
||
" dict2.setdefault(k,{})\n",
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" dict2[k]['name'] = v['name']\n",
|
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" dict2[k]['phone'] = v['phone']\n",
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"\n",
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"list1 = []\n",
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"for k, v in dict2.items():\n",
|
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" i = 0\n",
|
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" for k1, v1 in dict1.items():\n",
|
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" if v['name']== v1['name'] and v['phone'] == v1['phone'] and k1 != k:\n",
|
||
" list1.append(max(int(k),int(k1)))\n",
|
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"for item in set(list1):\n",
|
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" del dict1[str(item)]\n",
|
||
"print(len(dict1))\n",
|
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"filename = 'data/镇海1.json'\n",
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"\n",
|
||
"with open(filename,'w') as fl:\n",
|
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" json.dump(dict1, fl, ensure_ascii=False) \n"
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]
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},
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||
{
|
||
"cell_type": "markdown",
|
||
"id": "e513b5bb-8a4e-412a-880b-1ae36e059bfd",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 转换报告格式"
|
||
]
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||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "7f038e8d-dd57-4880-8726-6dfa86fbc4a2",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import datetime\n",
|
||
"import csv\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"filename = '../item.json'\n",
|
||
"item = {}\n",
|
||
"unit = {}\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for k,v in dict1.items():\n",
|
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" item[k] = v\n",
|
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"item['1']['en'] = 'lung'\n",
|
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"item['2']['en'] = 'grip'\n",
|
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"item['3']['en'] = 'flexion'\n",
|
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"item['4']['en'] = 'jump'\n",
|
||
"item['5']['en'] = 'pushup'\n",
|
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"item['6']['en'] = 'balance'\n",
|
||
"item['7']['en'] = 'reaction'\n",
|
||
"item['8']['en'] = 'step'\n",
|
||
"item['9']['en'] = 'situp'\n",
|
||
"item['10']['en'] = 'height'\n",
|
||
"item['11']['en'] = 'weight'\n",
|
||
"\n",
|
||
"\n",
|
||
"re_ta = {}\n",
|
||
"dict1 = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/镇海.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"filename = 'data/places_result_20240922.csv'\n",
|
||
"with open(filename,'r',newline='') as csv_file:\n",
|
||
" fl = csv.reader(csv_file,delimiter=',')\n",
|
||
" header = next(fl) \n",
|
||
" for line in fl:\n",
|
||
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
||
" list1.append(line)\n",
|
||
"#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
||
"#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" rq = date.fromisoformat(result[6].replace('/','-'))\n",
|
||
" if user in dict1.keys():\n",
|
||
" l_xm = []\n",
|
||
" m_item = str(result[3]) \n",
|
||
" re_ta.setdefault(user,{}) \n",
|
||
" re_ta[user]['name'] = dict1[user]['name']\n",
|
||
" re_ta[user]['sex'] = dict1[user]['sex']\n",
|
||
" if dict1[user]['sex'] == '男':\n",
|
||
" l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
||
" else:\n",
|
||
" l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
||
" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" #birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
|
||
" birth = date.fromisoformat(dict1[user]['birth'])\n",
|
||
" #nian = int(birth[0].strip())\n",
|
||
" #yue = int(birth[1].strip())\n",
|
||
" #ri = int(birth[2].strip())\n",
|
||
" #print(k,nian,yue,ri)\n",
|
||
" item_name = item[m_item]['en'] \n",
|
||
" if item_name in l_xm: \n",
|
||
" days = (rq-birth).days \n",
|
||
" re_ta[user]['age'] = int(days/365)\n",
|
||
" re_ta[user]['month'] = int(days/365*12)\n",
|
||
" re_ta[user]['rq'] = result[6]\n",
|
||
"\n",
|
||
"\n",
|
||
" re_ta[user].setdefault(item_name,{}) \n",
|
||
" score = int(result[4])/item[m_item]['divisor'] \n",
|
||
" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
|
||
"print(len(re_ta))\n",
|
||
"filename = 'data/result_镇海1.json'\n",
|
||
"\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||
"print(len(re_ta))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "de2eec6d-a74e-47e1-ab7a-c7f6eda80a20",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成完善得分"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "763aa68a-da54-4745-a759-4399aba10f7e",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"\n",
|
||
"filename = '../item.json'\n",
|
||
"item = {}\n",
|
||
"unit = {}\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict3 = json.load(fl) \n",
|
||
"for k,v in dict3.items():\n",
|
||
" item[k] = v\n",
|
||
"item['1']['en'] = 'lung'\n",
|
||
"item['2']['en'] = 'grip'\n",
|
||
"item['3']['en'] = 'flexion'\n",
|
||
"item['4']['en'] = 'jump'\n",
|
||
"item['5']['en'] = 'pushup'\n",
|
||
"item['6']['en'] = 'balance'\n",
|
||
"item['7']['en'] = 'reaction'\n",
|
||
"item['8']['en'] = 'step'\n",
|
||
"item['9']['en'] = 'situp'\n",
|
||
"item['10']['en'] = 'height'\n",
|
||
"item['11']['en'] = 'weight'\n",
|
||
"\n",
|
||
"filename = 'data/体质检测标准 (1).json' \n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"def cal_score(data1):\n",
|
||
" #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n",
|
||
" person = dict1['person']\n",
|
||
" criteria = dict1['criteria']\n",
|
||
" if data1['age'] >59:\n",
|
||
" data1['age'] = 59\n",
|
||
" if data1['age'] <20:\n",
|
||
" data1['age'] = 20\n",
|
||
" info = data1['sex']+str(data1['age'])\n",
|
||
" bz = person[info]\n",
|
||
" mx = criteria[bz][data1['item']]\n",
|
||
" result = data1['result'] \n",
|
||
" if data1['item'] == 'reaction':\n",
|
||
" for bz1 in mx:\n",
|
||
" if result > bz1:\n",
|
||
" #print(bz1)\n",
|
||
" score = mx.index(bz1,0)\n",
|
||
" break\n",
|
||
" else:\n",
|
||
" score = 5\n",
|
||
" else:\n",
|
||
" for bz1 in mx:\n",
|
||
" if result < bz1:\n",
|
||
" #print(bz1)\n",
|
||
" score = mx.index(bz1,0)\n",
|
||
" break\n",
|
||
" else:\n",
|
||
" score = 5\n",
|
||
" return(score)\n",
|
||
"filename = 'data/体质检测标准_BMI.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict4 = json.load(fl) \n",
|
||
" \n",
|
||
"def cal_bmi(data1):\n",
|
||
" # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
|
||
" person = dict4['person']\n",
|
||
" criteria = dict4['criteria']\n",
|
||
" if data1['age'] > 59:\n",
|
||
" data1['age'] = 59\n",
|
||
" if data1['age'] <20:\n",
|
||
" data1['age'] = 20\n",
|
||
" info = data1['sex']+str(data1['age'])\n",
|
||
" bz = person[info]\n",
|
||
" #print(bz)\n",
|
||
" result = data1['result']\n",
|
||
" #print(data1['code'],result)\n",
|
||
" height = int(float(result.split(',')[0]))\n",
|
||
" weight = float(result.split(',')[1])\n",
|
||
" if str(height) not in criteria[bz]:\n",
|
||
" score = 1\n",
|
||
" else: \n",
|
||
" mx = criteria[bz][str(height)]\n",
|
||
" if weight < mx[0]:\n",
|
||
" score = 1\n",
|
||
" elif weight < mx[1]:\n",
|
||
" score = 3\n",
|
||
" elif weight < mx[2]:\n",
|
||
" score = 5 \n",
|
||
" elif weight <= mx[3]:\n",
|
||
" score = 3 \n",
|
||
" elif weight > mx[3]:\n",
|
||
" score = 1\n",
|
||
" return score\n",
|
||
" \n",
|
||
" \n",
|
||
"\n",
|
||
"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
|
||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
|
||
"filename = 'data/result_镇海1.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"for k, v in dict2.items():\n",
|
||
" #print(k)\n",
|
||
" if v['sex'] == '男':\n",
|
||
" sex = 'M'\n",
|
||
" else:\n",
|
||
" sex = 'F' \n",
|
||
" if 'height' in v.keys() and 'weight' in v.keys():\n",
|
||
" bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
|
||
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
|
||
" dict2[k]['bmi'] = {}\n",
|
||
" dict2[k]['bmi']['成绩'] = bmi_data\n",
|
||
" dict2[k]['bmi']['score'] = cal_bmi(data1)\n",
|
||
" for item_en in list_item:\n",
|
||
" if item_en in v.keys(): \n",
|
||
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
|
||
" dict2[k][item_en]['score'] = cal_score(data1)\n",
|
||
" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
|
||
"\n",
|
||
"filename = f'data/result_镇海2.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "723ae3d7-ec16-4dc6-91e2-eeeea6ffe081",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成报告"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "90faac13-492d-4b3d-bb21-c228af6d9864",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import requests\n",
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"headers = {\n",
|
||
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
||
" }\n",
|
||
"filename = 'data/result_镇海2.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"file_path ='./镇海石化/'\n",
|
||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||
"i=0\n",
|
||
"list2 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list1 = []\n",
|
||
" mydata = {}\n",
|
||
" \n",
|
||
" id = str(k).rjust(4,\"0\")\n",
|
||
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
||
" mydata['title'] = '中国石化镇海炼化公司'\n",
|
||
" mydata['subtitle'] = v['unit']\n",
|
||
" mydata['id'] = id\n",
|
||
" mydata['name'] = v['name']\n",
|
||
" if v['sex'] == '男':\n",
|
||
" mydata['gender'] = 'male'\n",
|
||
" else:\n",
|
||
" mydata['gender'] = 'female'\n",
|
||
" \n",
|
||
" mydata['month'] = v['month']\n",
|
||
" mydata['fits'] = {}\n",
|
||
" survey_list = ['tcm','psy','spine']\n",
|
||
" for item in survey_list:\n",
|
||
" if item in v.keys():\n",
|
||
" mydata.setdefault('surveys',{})\n",
|
||
" mydata['surveys'][item] = v[item]\n",
|
||
" \n",
|
||
" \n",
|
||
" #mydata['fits'] = {}\n",
|
||
" for item in list_item:\n",
|
||
" if item in v.keys():\n",
|
||
" mydata.setdefault('fits',{})\n",
|
||
" if item in ['lung','pushup','step','situp']:\n",
|
||
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
||
" else:\n",
|
||
" mark = v[item]['成绩'].split()[0]\n",
|
||
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
|
||
" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
|
||
" if len(mydata['fits']) >2 : \n",
|
||
" list1.append(mydata)\n",
|
||
" list2.append([k,v['name']])\n",
|
||
" i+=1\n",
|
||
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
|
||
" #print(id,v['name'],x.text)\n",
|
||
" #print(mydata)\n",
|
||
" #x.close()\n",
|
||
"print(i)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "82c1eaea-89ad-444a-8dad-07f438c739cc",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计报告人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "61c731bc-6117-4a9f-8bfa-66f820e49fc4",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"filename = 'data/镇海.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files/345321'\n",
|
||
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
||
"dict2 = {}\n",
|
||
"for fn in fls:\n",
|
||
" \n",
|
||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||
" #fi_name =Path(fn).stem\n",
|
||
" code = int(fi_name)\n",
|
||
" dict2[str(code)] = dict1[str(code)]\n",
|
||
"filename = 'data/镇海体测人员.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print(len(dict2)) \n",
|
||
"list1 = []\n",
|
||
"for k, v in dict2.items(): \n",
|
||
" list2 = []\n",
|
||
" if 'gh' in v.keys():\n",
|
||
" gh = v['gh']\n",
|
||
" else:\n",
|
||
" gh = ''\n",
|
||
" if 'phone' in v.keys():\n",
|
||
" phone = v['phone']\n",
|
||
" else:\n",
|
||
" phone = ''\n",
|
||
" list2 = [k,v['name'],v['sex'],v['birth'],v['unit'],gh,phone]\n",
|
||
" list1.append(list2)\n",
|
||
"#print(list1)\n",
|
||
"filename = 'data/镇海参加测试人员名单.xlsx'\n",
|
||
"title = ['序号','员工编号','姓名','部门']\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row) \n",
|
||
"wb.save(filename)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "fc0f353c-1021-4c8c-bb7c-7a4abb609836",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 补充报告人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 107,
|
||
"id": "fa963fb6-b47d-4b75-9109-6cda89218182",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T06:58:38.490350Z",
|
||
"iopub.status.busy": "2024-09-30T06:58:38.489677Z",
|
||
"iopub.status.idle": "2024-09-30T06:58:38.708672Z",
|
||
"shell.execute_reply": "2024-09-30T06:58:38.708145Z",
|
||
"shell.execute_reply.started": "2024-09-30T06:58:38.490289Z"
|
||
},
|
||
"scrolled": true
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok!\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/镇海体测人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"wb = openpyxl.load_workbook('data/镇海炼化参加测试人员名单（分析用）.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" if sheet.cell(n, 12).value is not None:\n",
|
||
" code = int(sheet.cell(n, 1).value)\n",
|
||
" if sheet.cell(n, 12).value is not None:\n",
|
||
" dict1[str(code)]['gwlb'] = sheet.cell(n, 12).value\n",
|
||
" dict1[str(code)]['gwxl'] = sheet.cell(n, 9).value\n",
|
||
" dict1[str(code)]['gzz'] = sheet.cell(n, 11).value\n",
|
||
"\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False) \n",
|
||
"print('ok!') \n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "385285b8-fdb3-421d-afbf-c13e4f55bb46",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 核验报告人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "c6195bc3-64bc-4f52-8ebc-ba16fd222f85",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/镇海炼化参加测试人员名单.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"# sheets = wb.sheetnames\n",
|
||
"person = {}\n",
|
||
"\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" code = int(sheet.cell(n, 1).value)\n",
|
||
" person.setdefault(code, {})\n",
|
||
" dict1 = {}\n",
|
||
" dict1['name'] = sheet.cell(n, 2).value\n",
|
||
" dict1['sex'] = sheet.cell(n, 3).value\n",
|
||
" dict1['unit'] = sheet.cell(n, 5).value\n",
|
||
" if sheet.cell(n, 6).value is not None:\n",
|
||
" dict1['gh'] = sheet.cell(n, 6).value\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] \n",
|
||
" if sheet.cell(n, 7).value is not None:\n",
|
||
" dict1['phone'] = str(sheet.cell(n,7).value)\n",
|
||
" if len(str(sheet.cell(n,7).value))<11:\n",
|
||
" print(code,sheet.cell(n, 2).value)\n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print(len(person))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "7e551660-e85f-4da2-8224-042784033ed5",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成查询信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "299c1d41-7634-4703-8411-08f175df4e16",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import glob\n",
|
||
"import random\n",
|
||
"from pathlib import Path\n",
|
||
"import pymongo\n",
|
||
"\n",
|
||
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
|
||
"mydb = myclient[\"baogao\"]\n",
|
||
"mycol = mydb[\"pdf\"]\n",
|
||
"\n",
|
||
"place_id = 345321\n",
|
||
"\n",
|
||
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n",
|
||
"fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n",
|
||
"\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"for fn in fls:\n",
|
||
" dict2 = {}\n",
|
||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||
" #fi_name =Path(fn).stem\n",
|
||
" code = int(fi_name)\n",
|
||
" dxm = dict1[str(code)]['gh']\n",
|
||
" dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name}\n",
|
||
" list2.append(dict2)\n",
|
||
" i +=1\n",
|
||
"x = mycol.insert_many(list2)\n",
|
||
"print('ok') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e923022e-aef7-4c8e-84f9-b853e53ff820",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 根据工号生成查询信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "f709fd4a-d0b0-44a9-a782-0c1ffd43f6b8",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"list2 = []\n",
|
||
"set1 = set()\n",
|
||
"for k, v in dict1.items():\n",
|
||
" if 'gh' in v.keys():\n",
|
||
" gh = v['gh']\n",
|
||
" if gh not in list1:\n",
|
||
" list1.append(v['gh'])\n",
|
||
" else:\n",
|
||
" list2.append(gh)\n",
|
||
"print(list2)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d9464f81-9228-403a-9d78-090fb4ce0faa",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 体测报告按部门分类"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "7eac364f-0fde-4853-9d2b-8c4c0c59a341",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"\n",
|
||
"fi_path = '/home/songyi/pdf-typescript/镇海石化'\n",
|
||
"new_path = 'file/镇海石化'\n",
|
||
"old = []\n",
|
||
"dict2 = {}\n",
|
||
"\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
||
"for fn in fls:\n",
|
||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||
" code = int(fi_name)\n",
|
||
" unit_path = Path(new_path,dict1[str(code)]['unit'])\n",
|
||
" unit_path.mkdir(parents = True, exist_ok = True)\n",
|
||
" n_name = Path(unit_path,Path(fn).stem+'.pdf')\n",
|
||
" if not os.path.exists(n_name):\n",
|
||
" shutil.copyfile(fn,n_name)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d7bb270c-cc9e-413b-af36-17c33692e289",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成体测报告打印明细表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "d88bd5c4-1df3-457b-b65d-61692c45e7bd",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"fi_path = '/home/songyi/pdf-typescript/镇海石化'\n",
|
||
"\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
||
"list1 = []\n",
|
||
"title = ['测试编号','姓名','性别','部门']\n",
|
||
"for fn in fls:\n",
|
||
" list2 = []\n",
|
||
" fi_name =Path(fn).stem.split('-')[0] \n",
|
||
" code = int(fi_name)\n",
|
||
" sex = dict1[str(code)]['sex']\n",
|
||
" unit = dict1[str(code)]['unit']\n",
|
||
" list2 = [fi_name,Path(fn).stem.split('-')[1],sex,unit]\n",
|
||
" \n",
|
||
" list1.append(list2)\n",
|
||
"\n",
|
||
"filename = 'data/镇海石化体测报告明细表.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "6b521daf-f9dc-4579-9400-d8ab857bb166",
|
||
"metadata": {},
|
||
"source": [
|
||
"# 体质测试综合报告数据分析"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "83203d08-46ca-45f6-8204-0c8e35f754b6",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 清理报告数据"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "cccc2e43-7a73-48ec-8540-06b4d59f8ceb",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海2.json'\n",
|
||
"with open(filename,'r',encoding = 'utf-8') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
" \n",
|
||
"#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",
|
||
"items = {}\n",
|
||
"items['lung'] = '肺活量'\n",
|
||
"items['grip'] ='握力'\n",
|
||
"items['flexion'] ='坐位体前屈'\n",
|
||
"items['jump'] ='纵跳'\n",
|
||
"items['pushup'] ='俯卧撑'\n",
|
||
"items['balance'] ='单脚站立'\n",
|
||
"items['reaction'] ='选择反应时'\n",
|
||
"items['step'] ='台阶指数'\n",
|
||
"items['situp'] ='一分钟仰卧起坐'\n",
|
||
"items['bmi'] ='BMI'\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"#fiie_path ='./138/'\n",
|
||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||
"i=1\n",
|
||
"list2 = []\n",
|
||
"dict2 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list1 = []\n",
|
||
" mydata = {}\n",
|
||
" \n",
|
||
" id = str(k).rjust(8,\"0\")\n",
|
||
" mydata['unit'] = v['unit']\n",
|
||
" mydata['name'] = v['name']\n",
|
||
" mydata['sex'] = v['sex']\n",
|
||
" mydata['month'] = v['month']\n",
|
||
" age = int(v['month']/12)\n",
|
||
" if age <20:\n",
|
||
" mydata['age'] = 20\n",
|
||
" else:\n",
|
||
" mydata['age'] = int(v['month']/12)\n",
|
||
" \n",
|
||
" mydata['fits'] = {}\n",
|
||
" score = 0\n",
|
||
" for item in list_item:\n",
|
||
" if item in v.keys():\n",
|
||
" if item in ['lung','pushup','step','situp']:\n",
|
||
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
||
" else:\n",
|
||
" mark = v[item]['成绩'].split()[0]\n",
|
||
" mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n",
|
||
" score = score + v[item]['score']\n",
|
||
" mydata['score'] = round(score/len(mydata['fits']),2)\n",
|
||
" if len(mydata['fits']) >2:\n",
|
||
" dict2[str(k)] = mydata\n",
|
||
"filename = f'data/data_镇海.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "1c0bca93-d8a7-42ba-9a2c-50d3493c802f",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 报告按照工作制分类"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 113,
|
||
"id": "a550ecd7-da8e-41b6-8b8f-8bc144d48bfe",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T07:33:01.527422Z",
|
||
"iopub.status.busy": "2024-09-30T07:33:01.527168Z",
|
||
"iopub.status.idle": "2024-09-30T07:33:01.595828Z",
|
||
"shell.execute_reply": "2024-09-30T07:33:01.595271Z",
|
||
"shell.execute_reply.started": "2024-09-30T07:33:01.527399Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"782\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海2.json'\n",
|
||
"with open(filename,'r',encoding = 'utf-8') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"filename = 'data/镇海体测人员.json'\n",
|
||
"with open(filename,'r',encoding = 'utf-8') as fl:\n",
|
||
" dict3 = json.load(fl)\n",
|
||
"\n",
|
||
"\n",
|
||
"#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",
|
||
"items = {}\n",
|
||
"items['lung'] = '肺活量'\n",
|
||
"items['grip'] ='握力'\n",
|
||
"items['flexion'] ='坐位体前屈'\n",
|
||
"items['jump'] ='纵跳'\n",
|
||
"items['pushup'] ='俯卧撑'\n",
|
||
"items['balance'] ='单脚站立'\n",
|
||
"items['reaction'] ='选择反应时'\n",
|
||
"items['step'] ='台阶指数'\n",
|
||
"items['situp'] ='一分钟仰卧起坐'\n",
|
||
"items['bmi'] ='BMI'\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"#fiie_path ='./138/'\n",
|
||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||
"i=1\n",
|
||
"list2 = []\n",
|
||
"dict2 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" if dict3[k]['gzz'] == '倒班':\n",
|
||
" list1 = []\n",
|
||
" mydata = {}\n",
|
||
" \n",
|
||
" id = str(k).rjust(8,\"0\")\n",
|
||
" mydata['unit'] = v['unit']\n",
|
||
" mydata['name'] = v['name']\n",
|
||
" mydata['sex'] = v['sex']\n",
|
||
" mydata['month'] = v['month']\n",
|
||
" age = int(v['month']/12)\n",
|
||
" if age <20:\n",
|
||
" mydata['age'] = 20\n",
|
||
" else:\n",
|
||
" mydata['age'] = int(v['month']/12)\n",
|
||
" \n",
|
||
" mydata['fits'] = {}\n",
|
||
" score = 0\n",
|
||
" for item in list_item:\n",
|
||
" if item in v.keys():\n",
|
||
" if item in ['lung','pushup','step','situp']:\n",
|
||
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
||
" else:\n",
|
||
" mark = v[item]['成绩'].split()[0]\n",
|
||
" mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n",
|
||
" score = score + v[item]['score']\n",
|
||
" mydata['score'] = round(score/len(mydata['fits']),2)\n",
|
||
" if len(mydata['fits']) >2:\n",
|
||
" dict2[str(k)] = mydata\n",
|
||
"filename = f'data/data_镇海_倒班.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print(len(dict2)) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c3bcd7ec-1d66-40c6-a27d-1c73e6eef695",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 计算平均成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 137,
|
||
"id": "d5721244-b5f5-4577-bae8-2e6c5bd8e4da",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T08:09:20.461987Z",
|
||
"iopub.status.busy": "2024-09-30T08:09:20.460968Z",
|
||
"iopub.status.idle": "2024-09-30T08:09:20.476548Z",
|
||
"shell.execute_reply": "2024-09-30T08:09:20.475718Z",
|
||
"shell.execute_reply.started": "2024-09-30T08:09:20.461927Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"平均成绩：3.2405分，男性：313人\n",
|
||
"平均成绩：3.4483分，女性：92人\n",
|
||
"平均成绩：3.2877分，总体：405人\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"filename = 'data/data_镇海_白班.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"i = 1\n",
|
||
"m = 0\n",
|
||
"f = 0\n",
|
||
"score = 0\n",
|
||
"t_score = 0\n",
|
||
"for k,v in dict1.items():\n",
|
||
" if v['sex'] == '男':\n",
|
||
" m = m +1\n",
|
||
" score = score+v['score']\n",
|
||
"print(f'平均成绩：{round(score/m,4)}分，男性：{m}人')\n",
|
||
"t_score = t_score + score\n",
|
||
"score = 0\n",
|
||
"for k,v in dict1.items():\n",
|
||
" if v['sex'] == '女':\n",
|
||
" f = f +1\n",
|
||
" score = score+v['score']\n",
|
||
"print(f'平均成绩：{round(score/f,4)}分，女性：{f}人')\n",
|
||
"t_score = t_score + score\n",
|
||
"print(f'平均成绩：{round(t_score/(f+m),4)}分，总体：{(f+m)}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a7ba7d25-b7a0-4641-a218-b4569d31acb1",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 计算测试等级"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 138,
|
||
"id": "cff50f06-3221-4340-950f-3a24073b8565",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T08:10:16.993594Z",
|
||
"iopub.status.busy": "2024-09-30T08:10:16.992995Z",
|
||
"iopub.status.idle": "2024-09-30T08:10:17.024014Z",
|
||
"shell.execute_reply": "2024-09-30T08:10:17.023470Z",
|
||
"shell.execute_reply.started": "2024-09-30T08:10:16.993539Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"0~255分人数：27人,男性：24人,女性:3人\n",
|
||
"256~332分人数：155人,男性：131人,女性:24人\n",
|
||
"333~367分人数：146人,男性：104人,女性:42人\n",
|
||
"368~500分人数：77人,男性：54人,女性:23人\n",
|
||
"405\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"items = ['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",
|
||
"\n",
|
||
"#filename = 'data/data_长炼医院.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"dict2 = {}\n",
|
||
"dict2['不合格'] = [0,255]\n",
|
||
"dict2['合格'] = [256,332]\n",
|
||
"dict2['良好'] = [333,367]\n",
|
||
"dict2['优秀'] = [368,500]\n",
|
||
"\n",
|
||
"for k1, v1 in dict2.items():\n",
|
||
" di = v1[0]\n",
|
||
" gao = v1[1]\n",
|
||
" i = 0 \n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if int(v['score']*100) in range(di,gao+1):\n",
|
||
" dict1[k]['level'] = k1\n",
|
||
" i+=1\n",
|
||
" if v['sex'] == '男':\n",
|
||
" m = m +1\n",
|
||
" else:\n",
|
||
" f = f+1\n",
|
||
" print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')\n",
|
||
"print(len(dict1))\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "16a0d09b-2128-4df4-9745-954f48384244",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算各年龄段测试等级(女）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 139,
|
||
"id": "6baf0ff2-cdfa-4396-bcf8-3e23a18670dc",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T08:11:01.790765Z",
|
||
"iopub.status.busy": "2024-09-30T08:11:01.789996Z",
|
||
"iopub.status.idle": "2024-09-30T08:11:01.809947Z",
|
||
"shell.execute_reply": "2024-09-30T08:11:01.809201Z",
|
||
"shell.execute_reply.started": "2024-09-30T08:11:01.790691Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20-24 {'合格': 1, '良好': 3, '优秀': 0}\n",
|
||
"25-29 {'良好': 9, '合格': 11, '优秀': 3, '不合格': 0}\n",
|
||
"30-34 {'合格': 6, '优秀': 5, '良好': 12, '不合格': 2}\n",
|
||
"35-39 {'良好': 6, '合格': 3, '不合格': 1, '优秀': 5}\n",
|
||
"40-44 {'良好': 5, '合格': 1, '优秀': 1}\n",
|
||
"45-49 {'合格': 2, '优秀': 6, '良好': 4, '不合格': 0}\n",
|
||
"50-54 {'良好': 3, '不合格': 0, '优秀': 2, '合格': 0}\n",
|
||
"55-80 {'优秀': 1, '合格': 0, '良好': 0, '不合格': 0}\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"dict2 = {}\n",
|
||
"dict2['不合格'] = [0,255]\n",
|
||
"dict2['合格'] = [256,332]\n",
|
||
"dict2['良好'] = [333,367]\n",
|
||
"dict2['优秀'] = [368,500]\n",
|
||
"dict3 = {}\n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" age = f'{di}-{gao}'\n",
|
||
" dict3.setdefault(age,{})\n",
|
||
" i = 0 \n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1): \n",
|
||
" dict3[age].setdefault(v['level'],0)\n",
|
||
" if v['sex'] == '女':\n",
|
||
" dict3[age][v['level']] = dict3[age][v['level']]+1\n",
|
||
" \n",
|
||
"for k, v in dict3.items():\n",
|
||
" print(k,v)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "79fb3eab-e8d4-42bb-9ba4-8402f3b82b54",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算各年龄段测试等级(男）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 140,
|
||
"id": "2979cf80-5268-4754-ab8a-11a539315e92",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T08:11:49.628176Z",
|
||
"iopub.status.busy": "2024-09-30T08:11:49.627421Z",
|
||
"iopub.status.idle": "2024-09-30T08:11:49.647219Z",
|
||
"shell.execute_reply": "2024-09-30T08:11:49.646522Z",
|
||
"shell.execute_reply.started": "2024-09-30T08:11:49.628086Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20-24 {'合格': 8, '良好': 3, '优秀': 3}\n",
|
||
"25-29 {'良好': 24, '合格': 33, '优秀': 6, '不合格': 6}\n",
|
||
"30-34 {'合格': 21, '优秀': 5, '良好': 15, '不合格': 7}\n",
|
||
"35-39 {'良好': 19, '合格': 28, '不合格': 4, '优秀': 13}\n",
|
||
"40-44 {'良好': 12, '合格': 8, '优秀': 7}\n",
|
||
"45-49 {'合格': 10, '优秀': 4, '良好': 7, '不合格': 1}\n",
|
||
"50-54 {'良好': 16, '不合格': 4, '优秀': 9, '合格': 11}\n",
|
||
"55-80 {'优秀': 7, '合格': 12, '良好': 8, '不合格': 2}\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"dict2 = {}\n",
|
||
"dict2['不合格'] = [0,255]\n",
|
||
"dict2['合格'] = [256,332]\n",
|
||
"dict2['良好'] = [333,367]\n",
|
||
"dict2['优秀'] = [368,500]\n",
|
||
"dict3 = {}\n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" age = f'{di}-{gao}'\n",
|
||
" dict3.setdefault(age,{})\n",
|
||
" i = 0 \n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1): \n",
|
||
" dict3[age].setdefault(v['level'],0)\n",
|
||
" if v['sex'] == '男':\n",
|
||
" dict3[age][v['level']] = dict3[age][v['level']]+1\n",
|
||
" \n",
|
||
"for k, v in dict3.items():\n",
|
||
" print(k,v)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "9a38fc15-579c-42e9-a23c-1050a96e0cf8",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 根据年龄汇总人员信息及成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 141,
|
||
"id": "8a7cb3b0-d7be-44ac-a1ec-40bdcf29e83b",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T08:12:43.756100Z",
|
||
"iopub.status.busy": "2024-09-30T08:12:43.755357Z",
|
||
"iopub.status.idle": "2024-09-30T08:12:43.770919Z",
|
||
"shell.execute_reply": "2024-09-30T08:12:43.769768Z",
|
||
"shell.execute_reply.started": "2024-09-30T08:12:43.756030Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"16~24岁平均成绩：3.24分，人数：18人,男性：14人\n",
|
||
"25~29岁平均成绩：3.18分，人数：92人,男性：69人\n",
|
||
"30~34岁平均成绩：3.19分，人数：73人,男性：48人\n",
|
||
"35~39岁平均成绩：3.33分，人数：79人,男性：64人\n",
|
||
"40~44岁平均成绩：3.43分，人数：34人,男性：27人\n",
|
||
"45~49岁平均成绩：3.45分，人数：34人,男性：22人\n",
|
||
"50~54岁平均成绩：3.38分，人数：45人,男性：40人\n",
|
||
"55~69岁平均成绩：3.3分，人数：30人,男性：29人\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"nld = [[16,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" i = 0\n",
|
||
" score = 0\n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1):\n",
|
||
" score = score+v['score']\n",
|
||
" i+=1\n",
|
||
" if v['sex'] == '男':\n",
|
||
" m = m +1\n",
|
||
" if i ==0:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：0分，人数：0人,男性：{m}人')\n",
|
||
" else:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "48debe3b-d0ec-41e8-93ef-921b8e013aa7",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 根据年龄汇总人员信息及成绩（男）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 142,
|
||
"id": "c5bb03ca-b7ee-4564-b425-8513e1bff081",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T08:13:35.726671Z",
|
||
"iopub.status.busy": "2024-09-30T08:13:35.725976Z",
|
||
"iopub.status.idle": "2024-09-30T08:13:35.738750Z",
|
||
"shell.execute_reply": "2024-09-30T08:13:35.737676Z",
|
||
"shell.execute_reply.started": "2024-09-30T08:13:35.726606Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20~24岁平均成绩：3.21分，人数：14人\n",
|
||
"25~29岁平均成绩：3.13分，人数：69人\n",
|
||
"30~34岁平均成绩：3.1分，人数：48人\n",
|
||
"35~39岁平均成绩：3.3分，人数：64人\n",
|
||
"40~44岁平均成绩：3.44分，人数：27人\n",
|
||
"45~49岁平均成绩：3.28分，人数：22人\n",
|
||
"50~54岁平均成绩：3.34分，人数：40人\n",
|
||
"55~80岁平均成绩：3.28分，人数：29人\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" i = 0\n",
|
||
" score = 0\n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1) and v['sex'] == '男':\n",
|
||
" score = score+v['score']\n",
|
||
" i+=1\n",
|
||
" if i ==0:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n",
|
||
" else:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "92bb0683-81ea-4b90-8b74-4a2f43b4835c",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 根据年龄汇总人员信息及成绩（女）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 143,
|
||
"id": "bf333998-230c-4365-aadc-b0d1be073b39",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T08:14:20.172349Z",
|
||
"iopub.status.busy": "2024-09-30T08:14:20.171955Z",
|
||
"iopub.status.idle": "2024-09-30T08:14:20.181587Z",
|
||
"shell.execute_reply": "2024-09-30T08:14:20.180965Z",
|
||
"shell.execute_reply.started": "2024-09-30T08:14:20.172326Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20~24岁平均成绩：3.37分，人数：4人\n",
|
||
"25~29岁平均成绩：3.31分，人数：23人\n",
|
||
"30~34岁平均成绩：3.36分，人数：25人\n",
|
||
"35~39岁平均成绩：3.48分，人数：15人\n",
|
||
"40~44岁平均成绩：3.4分，人数：7人\n",
|
||
"45~49岁平均成绩：3.77分，人数：12人\n",
|
||
"50~54岁平均成绩：3.71分，人数：5人\n",
|
||
"55~80岁平均成绩：4.0分，人数：1人\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" i = 0\n",
|
||
" score = 0\n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1) and v['sex'] == '女':\n",
|
||
" score = score+v['score']\n",
|
||
" i+=1\n",
|
||
" if i ==0:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n",
|
||
" else:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "026d11e4-7f3d-4be5-9fa0-fa3699969c6b",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 计算各项目成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 144,
|
||
"id": "352c6c29-8929-4210-84c5-8dbc3d5ffeee",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T08:15:17.750779Z",
|
||
"iopub.status.busy": "2024-09-30T08:15:17.750013Z",
|
||
"iopub.status.idle": "2024-09-30T08:15:17.769711Z",
|
||
"shell.execute_reply": "2024-09-30T08:15:17.768948Z",
|
||
"shell.execute_reply.started": "2024-09-30T08:15:17.750706Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"BMI 4.07 404\n",
|
||
"肺活量 3.59 405\n",
|
||
"握力 3.13 403\n",
|
||
"坐位体前屈 2.98 400\n",
|
||
"纵跳 3.48 394\n",
|
||
"俯卧撑 3.8 308\n",
|
||
"一分钟仰卧起坐 4.58 78\n",
|
||
"单脚站立 2.78 397\n",
|
||
"选择反应时 3.02 388\n",
|
||
"台阶指数 2.6 381\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"items = ['BMI','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",
|
||
"for item in items:\n",
|
||
" score = 0\n",
|
||
" n = 0\n",
|
||
" for k, v in dict1.items(): \n",
|
||
" if item in v['fits'].keys():\n",
|
||
" n = n + 1\n",
|
||
" score =score + int(v['fits'][item]['score'])\n",
|
||
" print(item,round(score/n,2),n)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a13d5644-7cd1-4943-bce9-c6863f75b986",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 按照部门计算平均成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 145,
|
||
"id": "97f5a1cf-341e-4b99-9549-b6a3fb165849",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-30T08:16:03.902202Z",
|
||
"iopub.status.busy": "2024-09-30T08:16:03.901487Z",
|
||
"iopub.status.idle": "2024-09-30T08:16:03.914044Z",
|
||
"shell.execute_reply": "2024-09-30T08:16:03.913182Z",
|
||
"shell.execute_reply.started": "2024-09-30T08:16:03.902118Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"采购中心 3.39 20\n",
|
||
"公用工程一部 3.28 24\n",
|
||
"炼油二部 3.21 8\n",
|
||
"事务中心 3.19 32\n",
|
||
"公司机关 3.31 83\n",
|
||
"储运一部 3.29 26\n",
|
||
"仪表和计量中心 3.31 22\n",
|
||
"项目管理部 3.36 17\n",
|
||
"港储部 3.0 7\n",
|
||
"电气中心 3.18 5\n",
|
||
"公用工程二部 3.26 13\n",
|
||
"炼油五部 3.56 16\n",
|
||
"消防支队 3.14 6\n",
|
||
"新材料研究院 3.21 11\n",
|
||
"合成材料部 3.47 9\n",
|
||
"氢能制造部 3.19 4\n",
|
||
"油库中心 3.3 17\n",
|
||
"炼油三部 3.46 8\n",
|
||
"质管中心 3.2 11\n",
|
||
"烯烃一部 3.41 21\n",
|
||
"化学制品部 3.51 5\n",
|
||
"炼油六部 3.17 6\n",
|
||
"炼油一部 3.24 10\n",
|
||
"宣传部 3.11 1\n",
|
||
"财务部 3.0 1\n",
|
||
"生产部 3.04 3\n",
|
||
"发展部 2.78 4\n",
|
||
"项目部 2.7 2\n",
|
||
"炼油四部 3.25 4\n",
|
||
"烯烃二部 3.13 6\n",
|
||
"炼油七部 2.89 1\n",
|
||
"储运二部 3.44 2\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"depart = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" if v['unit'] not in depart:\n",
|
||
" depart.append(v['unit'])\n",
|
||
"\n",
|
||
"for item in depart:\n",
|
||
" score = 0\n",
|
||
" n = 0\n",
|
||
" for k, v in dict1.items():\n",
|
||
" if item == v['unit']:\n",
|
||
" score = score + v['score']\n",
|
||
" n = n +1 \n",
|
||
" print(item,round(score/n,2),n)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "0d043ccc-a241-4b72-912f-7609d3f794a7",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"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": "3.12.3"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|