2127 lines
65 KiB
Plaintext
2127 lines
65 KiB
Plaintext
{
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"cells": [
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{
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||
"cell_type": "markdown",
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||
"id": "bf152e7d-6a36-4877-98d9-f11e3a73792e",
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"metadata": {},
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"source": [
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"## 导入人员信息"
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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": null,
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||
"id": "1b92b7c5-cb77-49da-95b7-34827ecf1d16",
|
||
"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/燕山石化人员情况表.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\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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" if sheet.cell(n, 7).value ==1:\n",
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" sex = '男'\n",
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" else:\n",
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" sex = '女'\n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" birth = str(sheet.cell(n, 6).value).split()[0]\n",
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" dict1['birth'] = birth\n",
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" if sheet.cell(n,5).value is not None:\n",
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" dict1['phone'] = sheet.cell(n, 5).value\n",
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" if sheet.cell(n,7).value is not None:\n",
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" dict1['id_num'] = sheet.cell(n, 7).value\n",
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" if sheet.cell(n,8).value is not None:\n",
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" dict1['SAP'] = sheet.cell(n, 8).value\n",
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" if sheet.cell(n,9).value is not None:\n",
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" dict1['工作单位'] = sheet.cell(n, 9).value\n",
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" if sheet.cell(n,10).value is not None:\n",
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" dict1['车间'] = sheet.cell(n, 10).value\n",
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" else:\n",
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" dict1['车间'] =''\n",
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" if sheet.cell(n,11).value is not None:\n",
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" dict1['班组'] = sheet.cell(n, 11).value\n",
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" else:\n",
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" dict1['班组'] =''\n",
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" if sheet.cell(n,12).value is not None:\n",
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" dict1['工作性质'] = sheet.cell(n, 11).value\n",
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" person[code] = dict1\n",
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"#jianyuan = [6484,7110,6441,6541,6543,6549,6555,6600,2958,2981,3033,3231,3249,3287,3228,7741,7749,7794,7799,7806,7837,7863,7870,7880,7894,7895,7904,7936,7947,7953,7958,7968,7969,7974,8086,8114]\n",
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"\n",
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"print(len(person))\n",
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"#for k in jianyuan:\n",
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"# if k in person.keys():\n",
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"# del person[k]\n",
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"print(len(person))\n",
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"#bianwai =[449,6839]\n",
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"#for i in range(7139,7200):\n",
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"# bianwai.append(i)\n",
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"#for k in bianwai:\n",
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"# if k in person.keys():\n",
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"# del person[k]\n",
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"print(len(person))\n",
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"filename = 'data/燕山石化人员名单.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": "f5c73dff-697d-4ba5-a90c-9bed68eaf4b3",
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"metadata": {},
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"source": [
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"## 每日成绩导入"
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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": "71e1ec6a-6797-4496-969a-1d1461b9ea58",
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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 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/燕山石化人员名单.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_20230517.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]['部门'] = dict1[user]['工作单位']\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_燕山石化.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"for k in re_ta.keys():\n",
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" if k in dict2.keys():\n",
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" print(k,dict2[k]['name'],'已测试！')\n",
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"for k, v in re_ta.items():\n",
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" if k not in dict2.keys():\n",
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" dict2[k] = v\n",
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" else:\n",
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" for k1,v1 in v.items():\n",
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" dict2[k][k1] = v1\n",
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"filename = 'data/result_燕山石化（20230517）.json'\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))\n",
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"filename = 'data/result_燕山石化.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2, fl, ensure_ascii=False) \n",
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"print(len(dict2))"
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]
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||
},
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||
{
|
||
"cell_type": "markdown",
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||
"id": "79147ba8-4b90-40ba-81a9-e6062600c239",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 每日成绩导出"
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "c24880ad-bbbd-4ad8-a894-cbcea389e822",
|
||
"metadata": {
|
||
"tags": []
|
||
},
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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','车间','班组','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_燕山石化（20230517）.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/燕山石化人员名单.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]['工作单位']) \n",
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" list2.append(dict2[k]['车间'])\n",
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" list2.append(dict2[k]['班组'])\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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" list1.append(list2)\n",
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||
"filename = 'data/燕山石化体测情况表(20230517).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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||
{
|
||
"cell_type": "markdown",
|
||
"id": "1cd93a0e-8340-4bd0-a8fd-747f149b256d",
|
||
"metadata": {},
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||
"source": [
|
||
"## 总成绩导出"
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "79c9c728-12e9-4107-bc5a-8c3e3d8b64a6",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\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",
|
||
"title = ['编号','姓名','性别','单位','车间','班组','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",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化-all.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
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||
"\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
" \n",
|
||
"list1 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list2 = []\n",
|
||
" list2.append(str(k).rjust(5,'0'))\n",
|
||
" list2.append(v['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['工作单位']) \n",
|
||
" list2.append(dict2[k]['车间'])\n",
|
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" list2.append(dict2[k]['班组'])\n",
|
||
" for item in items:\n",
|
||
" if item in v.keys():\n",
|
||
" list2.append(v[item]['成绩']) \n",
|
||
" elif item =='name':\n",
|
||
" list2.append(v[item])\n",
|
||
" else:\n",
|
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" list2.append('') \n",
|
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" list1.append(list2)\n",
|
||
"filename = 'data/燕山石化体测情况表.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)"
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||
]
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||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "6d431fc1-b743-467c-91b3-9788e245becb",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计部门测试人数"
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||
]
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||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "68454877-f1fe-4eed-8a48-265e428f892e",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化（20230516）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"dict2 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" unit = v['部门']\n",
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||
" dict2.setdefault(unit,0)\n",
|
||
" dict2[unit] = dict2[unit] + 1\n",
|
||
"print(dict2)\n",
|
||
"title =['单位','体测人数']\n",
|
||
"list1 = [] \n",
|
||
"for k, v in dict2.items():\n",
|
||
" list2 = []\n",
|
||
" list2 = [k,v]\n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/燕山石化部门测试人数情况表(20230516).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)"
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||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8becc0af-d22b-46a2-b35e-9122942515d4",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 每日未测试人员情况表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "7085bf6f-7465-44fb-bddb-38130fbe5618",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"title = ['编号','姓名','性别','单位','车间','班组']\n",
|
||
"filename = 'data/result_燕山石化（20230417）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"for k, v in dict2.items():\n",
|
||
" list2 = []\n",
|
||
" if k not in dict1.keys():\n",
|
||
" list2.append(str(k).rjust(5,'0'))\n",
|
||
" list2.append(v['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['工作单位']) \n",
|
||
" list2.append(dict2[k]['车间'])\n",
|
||
" list2.append(dict2[k]['班组'])\n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/燕山石化未体测人员名单(20230417).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) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "3231f52d-776f-4d29-b6f5-c28f6a0c30a9",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 汇总未测试人员情况表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "eddf7dab-b28d-402a-aeaf-27c120048ecb",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"title = ['编号','姓名','性别','单位','车间','班组']\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"# 筛选重名剔除名单\n",
|
||
"chongming = []\n",
|
||
"filename = 'data/燕山石化重名人员测试情况(20230515).xlsx'\n",
|
||
"wb = openpyxl.load_workbook(filename)\n",
|
||
"sheet = wb.active\n",
|
||
"for n in range(1, sheet.max_row+1,2):\n",
|
||
" if sheet.cell(n,1).value is not None:\n",
|
||
" code1 = int(sheet.cell(n, 1).value)\n",
|
||
" code2 = int(sheet.cell(n+1, 1).value)\n",
|
||
" bz1 = sheet.cell(n, 4).value\n",
|
||
" bz2 = sheet.cell(n+1, 4).value\n",
|
||
" if bz1 =='否' and bz2 =='否':\n",
|
||
" chongming.append(max(code1,code2))\n",
|
||
" else:\n",
|
||
" chongming.append(code1)\n",
|
||
" chongming.append(code2)\n",
|
||
"\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"for k, v in dict2.items():\n",
|
||
" list2 = []\n",
|
||
" if k not in dict1.keys() and int(k) not in chongming:\n",
|
||
" list2.append(str(k).rjust(5,'0'))\n",
|
||
" list2.append(v['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['工作单位']) \n",
|
||
" list2.append(dict2[k]['车间'])\n",
|
||
" list2.append(dict2[k]['班组'])\n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/燕山石化未体测人员名单(截至20230516).xlsx'\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": "4dd9b2b7-bd3d-4d5b-ac84-3a49bcada8b5",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计测试项目不足人员"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 73,
|
||
"id": "641863ef-324f-4c33-a0a9-699031afb6f1",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-26T14:47:09.071920Z",
|
||
"iopub.status.busy": "2023-05-26T14:47:09.071521Z",
|
||
"iopub.status.idle": "2023-05-26T14:47:09.257365Z",
|
||
"shell.execute_reply": "2023-05-26T14:47:09.256643Z",
|
||
"shell.execute_reply.started": "2023-05-26T14:47:09.071892Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"[]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\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",
|
||
"title = ['编号','姓名','性别','单位','车间','班组','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",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"dict3 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list1 = []\n",
|
||
" for item in v.keys():\n",
|
||
" if item in items:\n",
|
||
" list1.append(item)\n",
|
||
" dict3[k] = list1\n",
|
||
"list1 = []\n",
|
||
"for k, v in dict3.items():\n",
|
||
" if len(v)<4 and '身高' in v and '体重' in v or ((len(v)<3 and '身高' not in v and '体重' not in v)):\n",
|
||
" list2 = []\n",
|
||
" xm = ','.join(v)\n",
|
||
" list2.append(k)\n",
|
||
" list2.append(dict2[k]['name'])\n",
|
||
" list2.append(dict2[k]['工作单位'])\n",
|
||
" list2.append(xm)\n",
|
||
" list1.append(list2)\n",
|
||
"print(list1)\n",
|
||
"filename = 'data/燕山石化测试项目不足人员.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"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d3a69840-29fc-434d-af47-ad864f9e511c",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 汇总成绩导入"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "b735248a-c1b0-4e90-8df4-37cd7625cb1a",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\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",
|
||
" item[k] = v\n",
|
||
"re_ta = {}\n",
|
||
"dict1 = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"filename = 'data/places_result_20230526.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",
|
||
"#print(list1)\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" if user in dict1.keys(): \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",
|
||
" re_ta[user]['部门'] = dict1[user]['工作单位']\n",
|
||
" item_name = item[m_item]['name']\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",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化.json'\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": "fbdf2c54-7303-43ad-bbec-0fbcd033603a",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计测试人数"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "6d10738f-8da8-4f18-970b-e67433a06661",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\n",
|
||
"\n",
|
||
"person = set()\n",
|
||
"filename = 'data/places_result_20230526.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",
|
||
"#print(list1)\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" if user in dict1.keys():\n",
|
||
" person.add(user)\n",
|
||
"\n",
|
||
"print(len(person))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "5bdcad97-309f-4d29-82c4-b53c68b9ee22",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计重复人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "0dd5da15-92e0-45c2-b9e9-11417210974e",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"list2 = set()\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"filename = 'data/result_燕山石化-all.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"\n",
|
||
"for k,v in dict1.items():\n",
|
||
" name = v['name']\n",
|
||
" if name in list1:\n",
|
||
" list2.add(name)\n",
|
||
" list1.append(name)\n",
|
||
"list3 = []\n",
|
||
"for item in list2:\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['name'] == item:\n",
|
||
" list3.append([k,v['name'],v['sex'],v['birth']])\n",
|
||
"filename = 'data/燕山石化重名人员名单.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"#sheet.append(title)\n",
|
||
"for row in list3:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "96375506-0cca-4a9b-b0da-162460d25e51",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 重复人员测试情况"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "5df8eb8f-3594-40be-a491-b4d750bbd554",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"list2 = set()\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"\n",
|
||
"\n",
|
||
"list3 = []\n",
|
||
"\n",
|
||
"filename = 'data/燕山石化重名人员名单.xlsx'\n",
|
||
"wb = openpyxl.load_workbook(filename)\n",
|
||
"sheet = wb.active\n",
|
||
"# sheets = wb.sheetnames\n",
|
||
"\n",
|
||
"\n",
|
||
"for n in range(1, sheet.max_row+1):\n",
|
||
" if sheet.cell(n,1).value is not None:\n",
|
||
" code = int(sheet.cell(n, 1).value)\n",
|
||
" name = dict1[str(code)]['name']\n",
|
||
" unit = dict1[str(code)]['工作单位']\n",
|
||
" if str(code) in dict2.keys():\n",
|
||
" ce = '是'\n",
|
||
" else:\n",
|
||
" ce = '否'\n",
|
||
" list3.append([code,name,unit,ce])\n",
|
||
"filename = 'data/燕山石化重名人员测试情况(20230516).xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"#sheet.append(title)\n",
|
||
"for row in list3:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "0513a787-f2e2-4ee6-9c67-c94c50e62393",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计部门测试情况"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "48a0b2b8-c069-4d2d-9813-d65474749000",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict3 = json.load(fl)\n",
|
||
"dict2 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" unit = v['工作单位']\n",
|
||
" dict2.setdefault(unit,0)\n",
|
||
" dict2[unit] = dict2[unit] + 1\n",
|
||
"dict4 = {}\n",
|
||
"for k, v in dict3.items():\n",
|
||
" unit = v['部门']\n",
|
||
" dict4.setdefault(unit,0)\n",
|
||
" dict4[unit] = dict4[unit] + 1\n",
|
||
"list1 = []\n",
|
||
"for k, v in dict2.items():\n",
|
||
" list2 = []\n",
|
||
" list2.append(k)\n",
|
||
" list2.append(v)\n",
|
||
" if k in dict4.keys():\n",
|
||
" list2.append(dict4[k])\n",
|
||
" else:\n",
|
||
" list2.append(0)\n",
|
||
" list1.append(list2)\n",
|
||
"print(list1)\n",
|
||
"filename = 'data/燕山石化部门测试情况（截止5月6日）.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"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "c294db76-adc4-41bf-9ee6-811dde1905e8",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"#C2EDC1A2D1C7\n",
|
||
"gbs = 'C2EDC1A2D1C7'\n",
|
||
"import binascii\n",
|
||
"bs = binascii.a2b_hex(gbs)\n",
|
||
"print('bs', bs)\n",
|
||
"print('decode-bs:', bs.decode('gb2312'))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "9924d06a-8753-4856-9ccc-f3d5f8956bb2",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"s = '马立亚'\n",
|
||
"gbcode = s.encode('gb2312') # 先转成 bytes格式\n",
|
||
"print('gbcode:', gbcode)\n",
|
||
"gbs = \"\".join([hex(ch)[2:] for ch in gbcode]) #\n",
|
||
"print('gbs:', gbs)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "ce1487ed-2b11-4a3c-a305-5499af4526d1",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 数据分析"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "08500016-4f33-446c-bc44-28e0a22a591a",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 获取清理后数据"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 106,
|
||
"id": "aab3ed2b-54f1-42de-8e83-cc559827a4b5",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:07:09.829773Z",
|
||
"iopub.status.busy": "2023-05-27T13:07:09.829372Z",
|
||
"iopub.status.idle": "2023-05-27T13:07:10.760194Z",
|
||
"shell.execute_reply": "2023-05-27T13:07:10.759179Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:07:09.829747Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"7734\n",
|
||
"['3520', '7790', '3125', '4025', '3231', '5690', '4551']\n",
|
||
"7727\n",
|
||
"ok\n",
|
||
"7727\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\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",
|
||
" item[k] = v\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"re_ta = {}\n",
|
||
"list1 = []\n",
|
||
"#print(\"\\n运动项目信息：\")\n",
|
||
"filename = 'data/places_result_20230527.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",
|
||
"#print(list1)\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" if user in dict1.keys(): \n",
|
||
" m_item = str(result[3]) \n",
|
||
" re_ta.setdefault(user,{}) \n",
|
||
" re_ta[user]['name'] = dict1[user]['name']\n",
|
||
" re_ta[user]['unit'] = dict1[user]['工作单位']\n",
|
||
" re_ta[user]['sex'] = dict1[user]['sex']\n",
|
||
" re_ta[user]['birth'] = dict1[user]['birth'].replace('-','/')\n",
|
||
" item_name = item[m_item]['name']\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",
|
||
" re_ta[user][item_name]['得分'] =result[5]\n",
|
||
"filename = 'data/result_燕山石化1.json'\n",
|
||
"print(len(re_ta))\n",
|
||
"liwai = []\n",
|
||
"for k, v in re_ta.items():\n",
|
||
" if (len(v)<8 and '身高' in v and '体重' in v) or (len(v)<7 and '身高' not in v and '体重' not in v) :\n",
|
||
" liwai.append(k)\n",
|
||
"print(liwai)\n",
|
||
"for k in liwai:\n",
|
||
" del re_ta[k]\n",
|
||
"print(len(re_ta))\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(re_ta, fl) \n",
|
||
"print('ok')\n",
|
||
"print(len(re_ta))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a3ce7905-c849-48dc-996c-2eeee59e75aa",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算人员年龄"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 107,
|
||
"id": "9851d728-8c85-48fd-b7d6-d0104318e89d",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:07:15.219600Z",
|
||
"iopub.status.busy": "2023-05-27T13:07:15.219207Z",
|
||
"iopub.status.idle": "2023-05-27T13:07:15.684092Z",
|
||
"shell.execute_reply": "2023-05-27T13:07:15.683071Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:07:15.219573Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import datetime\n",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"for k, v in dict1.items(): \n",
|
||
" birth = v['birth'].split()[0].split('/') \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",
|
||
" days = (datetime.date(2023, 5, 18)-datetime.date(nian,yue,ri)).days\n",
|
||
" v['age'] = round(days/365)\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl) \n",
|
||
"print('ok') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 99,
|
||
"id": "e0f26f0a-6374-4903-a6c9-99cf25e5db2a",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T12:56:45.270021Z",
|
||
"iopub.status.busy": "2023-05-27T12:56:45.269580Z",
|
||
"iopub.status.idle": "2023-05-27T12:56:45.401202Z",
|
||
"shell.execute_reply": "2023-05-27T12:56:45.400687Z",
|
||
"shell.execute_reply.started": "2023-05-27T12:56:45.269990Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"for k,v in dict1.items():\n",
|
||
" if v['age'] < 19:\n",
|
||
" print(k,v['name'],v['age'] )\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "34ae5549-b31c-481e-986a-e1ad8bb1ccc5",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 汇总人员信息及成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 108,
|
||
"id": "d171e87d-9709-4de8-8261-e1eb4343e002",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:07:18.957951Z",
|
||
"iopub.status.busy": "2023-05-27T13:07:18.957558Z",
|
||
"iopub.status.idle": "2023-05-27T13:07:19.475930Z",
|
||
"shell.execute_reply": "2023-05-27T13:07:19.475170Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:07:18.957923Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\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/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for k,v in dict1.items():\n",
|
||
" score = 0\n",
|
||
" i = 0 \n",
|
||
" for k1,v1 in v.items(): \n",
|
||
" if k1 in items:\n",
|
||
" score = score + int(v1['得分'])\n",
|
||
" i+=1\n",
|
||
" dict1[k]['score'] = round(score/i,2) \n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8ccea925-2396-4dd9-8cc7-731f11aa3529",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算测试等级"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 109,
|
||
"id": "864da63f-bc6a-4246-81ec-e626680cf300",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:07:24.343430Z",
|
||
"iopub.status.busy": "2023-05-27T13:07:24.342578Z",
|
||
"iopub.status.idle": "2023-05-27T13:07:24.834062Z",
|
||
"shell.execute_reply": "2023-05-27T13:07:24.833272Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:07:24.343389Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"0~255分人数：3667人,男性：3136人,女性:531人\n",
|
||
"256~332分人数：3117人,男性：2033人,女性:1084人\n",
|
||
"333~367分人数：745人,男性：383人,女性:362人\n",
|
||
"368~500分人数：198人,男性：74人,女性:124人\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化.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",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c58f8632-7588-4f4d-8117-91f1a7b11688",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 根据年龄汇总人员信息及成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 110,
|
||
"id": "b605b817-da5f-407f-916b-ce4750727335",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:07:41.685574Z",
|
||
"iopub.status.busy": "2023-05-27T13:07:41.685226Z",
|
||
"iopub.status.idle": "2023-05-27T13:07:41.804179Z",
|
||
"shell.execute_reply": "2023-05-27T13:07:41.803229Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:07:41.685551Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20~24岁平均成绩：2.4分，人数：429人,男性：312人\n",
|
||
"25~29岁平均成绩：2.58分，人数：400人,男性：245人\n",
|
||
"30~34岁平均成绩：2.6分，人数：309人,男性：210人\n",
|
||
"35~39岁平均成绩：2.7分，人数：553人,男性：317人\n",
|
||
"40~44岁平均成绩：2.57分，人数：1339人,男性：844人\n",
|
||
"45~49岁平均成绩：2.55分，人数：1687人,男性：1071人\n",
|
||
"50~54岁平均成绩：2.53分，人数：1920人,男性：1559人\n",
|
||
"55~69岁平均成绩：2.43分，人数：1090人,男性：1068人\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n",
|
||
"filename = 'data/result_燕山石化.json'\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 = 1\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",
|
||
" \n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人,男性：{m}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "1ea7f10f-7c80-4888-a00e-69dbaeceb100",
|
||
"metadata": {},
|
||
"source": [
|
||
"#### 根据年龄汇总人员信息及成绩（男）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 111,
|
||
"id": "96506507-439f-42b5-93f7-bcba8930dae9",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:07:48.465152Z",
|
||
"iopub.status.busy": "2023-05-27T13:07:48.464314Z",
|
||
"iopub.status.idle": "2023-05-27T13:07:48.630296Z",
|
||
"shell.execute_reply": "2023-05-27T13:07:48.629582Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:07:48.465113Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20~24岁平均成绩：2.31分，人数：312人\n",
|
||
"25~29岁平均成绩：2.44分，人数：245人\n",
|
||
"30~34岁平均成绩：2.43分，人数：210人\n",
|
||
"35~39岁平均成绩：2.5分，人数：317人\n",
|
||
"40~44岁平均成绩：2.43分，人数：844人\n",
|
||
"45~49岁平均成绩：2.38分，人数：1071人\n",
|
||
"50~54岁平均成绩：2.44分，人数：1559人\n",
|
||
"55~80岁平均成绩：2.41分，人数：1068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",
|
||
"filename = 'data/result_燕山石化.json'\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 = 1\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",
|
||
" \n",
|
||
" \n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "bd906618-8b50-450d-bb32-a2554da91b9a",
|
||
"metadata": {},
|
||
"source": [
|
||
"#### 根据年龄汇总人员信息及成绩（女）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 112,
|
||
"id": "10cc353b-32cb-45eb-9362-da22b170c301",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:08:02.434443Z",
|
||
"iopub.status.busy": "2023-05-27T13:08:02.434037Z",
|
||
"iopub.status.idle": "2023-05-27T13:08:02.593896Z",
|
||
"shell.execute_reply": "2023-05-27T13:08:02.593181Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:08:02.434415Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20~24岁平均成绩：2.63分，人数：117人\n",
|
||
"25~29岁平均成绩：2.8分，人数：155人\n",
|
||
"30~34岁平均成绩：2.95分，人数：99人\n",
|
||
"35~39岁平均成绩：2.95分，人数：236人\n",
|
||
"40~44岁平均成绩：2.79分，人数：495人\n",
|
||
"45~49岁平均成绩：2.84分，人数：616人\n",
|
||
"50~54岁平均成绩：2.94分，人数：361人\n",
|
||
"55~80岁平均成绩：2.91分，人数：22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",
|
||
"filename = 'data/result_燕山石化.json'\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 = 1\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",
|
||
" \n",
|
||
" \n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "f0c57ed7-4ab6-4415-aac4-f55ca117743e",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算平均成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 113,
|
||
"id": "532b4d97-df50-4fd9-9e85-1181afcd366e",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:08:06.957835Z",
|
||
"iopub.status.busy": "2023-05-27T13:08:06.957012Z",
|
||
"iopub.status.idle": "2023-05-27T13:08:07.096914Z",
|
||
"shell.execute_reply": "2023-05-27T13:08:07.096024Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:08:06.957795Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"平均成绩：2.4206分，男性：5626人\n",
|
||
"平均成绩：2.859分，女性：2101人\n",
|
||
"平均成绩：2.5398分，总体：7727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",
|
||
"#filename = 'data/result_石家庄.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/7727,4)}分，总体：7727人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "b18769df-ccfb-4013-82ea-51e6a3e24565",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算测试等级"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 114,
|
||
"id": "4377cf1d-83f0-4e6b-819f-f274915886b9",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:08:27.764353Z",
|
||
"iopub.status.busy": "2023-05-27T13:08:27.763918Z",
|
||
"iopub.status.idle": "2023-05-27T13:08:28.264684Z",
|
||
"shell.execute_reply": "2023-05-27T13:08:28.263691Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:08:27.764325Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"0~255分人数：3667人,男性：3136人,女性:531人\n",
|
||
"256~332分人数：3117人,男性：2033人,女性:1084人\n",
|
||
"333~367分人数：745人,男性：383人,女性:362人\n",
|
||
"368~500分人数：198人,男性：74人,女性:124人\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\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",
|
||
"\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",
|
||
"#filename = 'data/result_石家庄.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "ee6b0500-bf94-458f-8d1c-0e75e8dcc1f5",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算各年龄段测试等级(女）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 115,
|
||
"id": "4fafdc11-c93b-4a8d-854e-61748713d0f8",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:08:31.927585Z",
|
||
"iopub.status.busy": "2023-05-27T13:08:31.927169Z",
|
||
"iopub.status.idle": "2023-05-27T13:08:32.089666Z",
|
||
"shell.execute_reply": "2023-05-27T13:08:32.088681Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:08:31.927557Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20-24 {'不合格': 44, '合格': 65, '良好': 5, '优秀': 3}\n",
|
||
"25-29 {'不合格': 43, '良好': 35, '合格': 74, '优秀': 3}\n",
|
||
"30-34 {'不合格': 17, '合格': 58, '良好': 19, '优秀': 5}\n",
|
||
"35-39 {'不合格': 44, '合格': 128, '良好': 52, '优秀': 12}\n",
|
||
"40-44 {'良好': 72, '不合格': 146, '合格': 241, '优秀': 36}\n",
|
||
"45-49 {'不合格': 167, '合格': 316, '优秀': 38, '良好': 95}\n",
|
||
"50-54 {'不合格': 65, '合格': 193, '良好': 77, '优秀': 26}\n",
|
||
"55-80 {'合格': 9, '不合格': 5, '优秀': 1, '良好': 7}\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": "bebb0307-62e7-458c-a78a-90c593595a67",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算各年龄段测试等级(男）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 116,
|
||
"id": "cae4d5b6-20ef-4a24-91ea-59ddc691349a",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:08:35.357895Z",
|
||
"iopub.status.busy": "2023-05-27T13:08:35.357070Z",
|
||
"iopub.status.idle": "2023-05-27T13:08:35.520889Z",
|
||
"shell.execute_reply": "2023-05-27T13:08:35.520000Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:08:35.357854Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20-24 {'不合格': 204, '合格': 96, '良好': 11, '优秀': 1}\n",
|
||
"25-29 {'不合格': 140, '良好': 19, '合格': 84, '优秀': 2}\n",
|
||
"30-34 {'不合格': 111, '合格': 81, '良好': 15, '优秀': 3}\n",
|
||
"35-39 {'不合格': 161, '合格': 124, '良好': 27, '优秀': 5}\n",
|
||
"40-44 {'良好': 63, '不合格': 462, '合格': 302, '优秀': 17}\n",
|
||
"45-49 {'不合格': 606, '合格': 389, '优秀': 11, '良好': 65}\n",
|
||
"50-54 {'不合格': 853, '合格': 567, '良好': 117, '优秀': 22}\n",
|
||
"55-80 {'合格': 390, '不合格': 599, '优秀': 13, '良好': 66}\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": "f7ce0701-4f39-46fd-b284-2274abf7d329",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 按照部门计算平均成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 117,
|
||
"id": "9d5660b9-2046-4319-b2c2-29ba5ddf818f",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:08:41.550284Z",
|
||
"iopub.status.busy": "2023-05-27T13:08:41.549870Z",
|
||
"iopub.status.idle": "2023-05-27T13:08:41.722994Z",
|
||
"shell.execute_reply": "2023-05-27T13:08:41.722259Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:08:41.550257Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"热电厂工会 2.41 681\n",
|
||
"炼油厂工会 2.48 1006\n",
|
||
"有机化工厂工会 2.57 446\n",
|
||
"储运厂工会 2.37 983\n",
|
||
"合成橡胶厂工会 2.46 713\n",
|
||
"检验计量中心工会 2.62 632\n",
|
||
"烯烃厂工会 2.59 410\n",
|
||
"化学品厂工会 2.4 368\n",
|
||
"合成树脂厂 2.46 443\n",
|
||
"生产运行保障中心 2.56 371\n",
|
||
"高科公司工会 2.69 304\n",
|
||
"机关工会 2.84 378\n",
|
||
"行政事务中心（离退中心）工会 2.76 524\n",
|
||
"教育培训中心工会 2.73 72\n",
|
||
"物装中心工会 2.67 182\n",
|
||
"消防中心工会 2.81 214\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)\n",
|
||
" "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d9122bbd-5767-4fe5-9bb2-c4d73a27a433",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算各项目成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 118,
|
||
"id": "38d9f91d-18de-4df1-8179-03579008c2d0",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:08:45.314635Z",
|
||
"iopub.status.busy": "2023-05-27T13:08:45.314235Z",
|
||
"iopub.status.idle": "2023-05-27T13:08:45.484153Z",
|
||
"shell.execute_reply": "2023-05-27T13:08:45.483219Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:08:45.314607Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"体重 3.41 7724\n",
|
||
"肺活量 2.96 7651\n",
|
||
"握力 2.36 7677\n",
|
||
"坐位体前屈 2.78 6752\n",
|
||
"纵跳 1.89 7302\n",
|
||
"俯卧撑 1.99 4557\n",
|
||
"一分钟仰卧起坐 3.81 1680\n",
|
||
"单脚站立 1.7 7561\n",
|
||
"选择反应时 2.76 7579\n",
|
||
"台阶指数 2.77 5257\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \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",
|
||
"for item in items:\n",
|
||
" score = 0\n",
|
||
" n = 0\n",
|
||
" for k, v in dict1.items():\n",
|
||
" if item in v.keys():\n",
|
||
" n = n + 1\n",
|
||
" score =score + int(v[item]['得分'])\n",
|
||
" print(item,round(score/n,2),n)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "bce1d676-d5f5-47b0-8a51-a1bb74a66674",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 生成倒班人员信息表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 119,
|
||
"id": "0bf8400c-060e-420e-ba66-04fb67bfc09a",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:08:51.679613Z",
|
||
"iopub.status.busy": "2023-05-27T13:08:51.678996Z",
|
||
"iopub.status.idle": "2023-05-27T13:08:54.061451Z",
|
||
"shell.execute_reply": "2023-05-27T13:08:54.060702Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:08:51.679572Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"3478\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/燕山石化人员情况表.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"# sheets = wb.sheetnames\n",
|
||
"daoban = {}\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" if sheet.cell(n,1).value is not None:\n",
|
||
" code = int(sheet.cell(n, 1).value)\n",
|
||
" if sheet.cell(n, 12).value == '倒班' and str(code) in dict1.keys():\n",
|
||
" daoban[str(code)] = dict1[str(code)]\n",
|
||
"\n",
|
||
"filename = 'data/daoban_燕山石化.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(daoban, fl, ensure_ascii=False) \n",
|
||
"print(len(daoban)) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8b6e02ac-0ce7-4cd3-8da9-025d93a24a53",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 倒班人员构成"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 120,
|
||
"id": "daa09874-e7a1-4aaa-b648-023e8358adfb",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:09:05.580283Z",
|
||
"iopub.status.busy": "2023-05-27T13:09:05.579869Z",
|
||
"iopub.status.idle": "2023-05-27T13:09:05.825237Z",
|
||
"shell.execute_reply": "2023-05-27T13:09:05.824360Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:09:05.580256Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"0~255分人数：1933人,男性：1675人,女性:258人\n",
|
||
"256~332分人数：1263人,男性：906人,女性:357人\n",
|
||
"333~367分人数：228人,男性：140人,女性:88人\n",
|
||
"368~500分人数：54人,男性：30人,女性:24人\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"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",
|
||
"filename = 'data/daoban_燕山石化.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8ad58c29-eb07-48d9-8d62-c5af158c02bf",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 倒班人员年龄段成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 121,
|
||
"id": "43d4e63d-a615-4ac0-b075-c938dc346e98",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:09:44.193852Z",
|
||
"iopub.status.busy": "2023-05-27T13:09:44.192991Z",
|
||
"iopub.status.idle": "2023-05-27T13:09:44.545582Z",
|
||
"shell.execute_reply": "2023-05-27T13:09:44.544856Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:09:44.193810Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20~24岁平均成绩：2.31分，人数：184人\n",
|
||
"25~29岁平均成绩：2.41分，人数：96人\n",
|
||
"30~34岁平均成绩：2.33分，人数：99人\n",
|
||
"35~39岁平均成绩：2.36分，人数：113人\n",
|
||
"40~44岁平均成绩：2.35分，人数：527人\n",
|
||
"45~49岁平均成绩：2.32分，人数：616人\n",
|
||
"50~54岁平均成绩：2.35分，人数：739人\n",
|
||
"55~80岁平均成绩：2.32分，人数：377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 = 1\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",
|
||
" \n",
|
||
" \n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 122,
|
||
"id": "69d07666-1a7d-42a0-85df-e88f956b9444",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:09:52.831237Z",
|
||
"iopub.status.busy": "2023-05-27T13:09:52.830821Z",
|
||
"iopub.status.idle": "2023-05-27T13:09:52.930980Z",
|
||
"shell.execute_reply": "2023-05-27T13:09:52.930197Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:09:52.831209Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"20~24岁平均成绩：2.57分，人数：69人\n",
|
||
"25~29岁平均成绩：2.67分，人数：32人\n",
|
||
"30~34岁平均成绩：2.73分，人数：18人\n",
|
||
"35~39岁平均成绩：2.62分，人数：43人\n",
|
||
"40~44岁平均成绩：2.63分，人数：228人\n",
|
||
"45~49岁平均成绩：2.7分，人数：295人\n",
|
||
"50~54岁平均成绩：2.71分，人数：42人\n",
|
||
"55~80岁平均成绩：0.0分，人数：0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 = 1\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",
|
||
" \n",
|
||
" \n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "aca6bfe1-b0c3-41b5-a0be-a5c1af071cbf",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 倒班人员测试等级"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 123,
|
||
"id": "798112d0-63e6-4a4b-9959-dbadf3c4ed54",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:11:29.890108Z",
|
||
"iopub.status.busy": "2023-05-27T13:11:29.889257Z",
|
||
"iopub.status.idle": "2023-05-27T13:11:30.148770Z",
|
||
"shell.execute_reply": "2023-05-27T13:11:30.148046Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:11:29.890066Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"0~255分人数：1933人,男性：1675人,女性:258人\n",
|
||
"256~332分人数：1263人,男性：906人,女性:357人\n",
|
||
"333~367分人数：228人,男性：140人,女性:88人\n",
|
||
"368~500分人数：54人,男性：30人,女性:24人\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"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",
|
||
"#filename = 'data/result_石家庄.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "5afed106-e77b-453b-bcdf-29c00665a4bd",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:57:01.082474Z",
|
||
"iopub.status.busy": "2023-05-27T13:57:01.082047Z",
|
||
"iopub.status.idle": "2023-05-27T13:57:01.086797Z",
|
||
"shell.execute_reply": "2023-05-27T13:57:01.085545Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:57:01.082445Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"source": [
|
||
"### 倒班人员平均成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 125,
|
||
"id": "e9444e38-450c-4e70-a98e-aa312d83d9c4",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T13:58:22.704523Z",
|
||
"iopub.status.busy": "2023-05-27T13:58:22.703677Z",
|
||
"iopub.status.idle": "2023-05-27T13:58:22.796742Z",
|
||
"shell.execute_reply": "2023-05-27T13:58:22.795740Z",
|
||
"shell.execute_reply.started": "2023-05-27T13:58:22.704483Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"平均成绩：2.3453分，男性：2751人\n",
|
||
"平均成绩：2.6869分，女性：727人\n",
|
||
"平均成绩：2.4167分，总体：3478人\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"#filename = 'data/result_石家庄.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/(m+f),4)}分，总体：{m+f}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8e52fd0b-c4db-4b88-b88e-7edf37714b6e",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算倒班员工各项目成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 126,
|
||
"id": "3248d9c5-bea2-492c-9a7a-ac2c9632b514",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-27T14:58:29.579314Z",
|
||
"iopub.status.busy": "2023-05-27T14:58:29.578870Z",
|
||
"iopub.status.idle": "2023-05-27T14:58:29.689623Z",
|
||
"shell.execute_reply": "2023-05-27T14:58:29.688913Z",
|
||
"shell.execute_reply.started": "2023-05-27T14:58:29.579287Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"体重 3.29 3478\n",
|
||
"肺活量 2.8 3438\n",
|
||
"握力 2.34 3449\n",
|
||
"坐位体前屈 2.74 2993\n",
|
||
"纵跳 1.7 3288\n",
|
||
"俯卧撑 1.94 2198\n",
|
||
"一分钟仰卧起坐 3.65 535\n",
|
||
"单脚站立 1.44 3390\n",
|
||
"选择反应时 2.65 3418\n",
|
||
"台阶指数 2.82 2179\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \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",
|
||
"for item in items:\n",
|
||
" score = 0\n",
|
||
" n = 0\n",
|
||
" for k, v in dict1.items():\n",
|
||
" if item in v.keys():\n",
|
||
" n = n + 1\n",
|
||
" score =score + int(v[item]['得分'])\n",
|
||
" print(item,round(score/n,2),n)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "12f5e54e-635d-450f-8a4f-54de18f3519d",
|
||
"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": "3.10.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|