1812 lines
52 KiB
Plaintext
1812 lines
52 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",
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||
"list1 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list2 = []\n",
|
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" list2.append(str(k).rjust(5,'0'))\n",
|
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" 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",
|
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" 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",
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||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
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" \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",
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||
"\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",
|
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" 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": null,
|
||
"id": "641863ef-324f-4c33-a0a9-699031afb6f1",
|
||
"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",
|
||
"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": "a7a00f31-9bf8-4fcd-9c6b-23707c4a5e00",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 报告按部门分类更名"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "7e495c73-5116-4a3f-a8e1-65f7cc6ec28e",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"\n",
|
||
"fi_path = 'file/20230530'\n",
|
||
"old = []\n",
|
||
"dict2 = {}\n",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"for k, v in dict1.items():\n",
|
||
" m_name = v['name']\n",
|
||
" m_depart = v['unit'] \n",
|
||
" dict2[int(k)] = [m_name,m_depart]\n",
|
||
"\n",
|
||
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
||
"\n",
|
||
"for fn in fls:\n",
|
||
" old.append(os.path.basename(fn).split('.')[0])\n",
|
||
"\n",
|
||
"for n in old: \n",
|
||
" o_name = f'{fi_path}/{n}.pdf'\n",
|
||
" new_path = Path(fi_path,'new',dict1[n]['unit'])\n",
|
||
" new_path.mkdir(parents = True, exist_ok = True)\n",
|
||
" n_name = Path(new_path,f'{str(n).rjust(5,\"0\")}-{dict2[int(n)][0]}.pdf')\n",
|
||
" if not os.path.exists(n_name):\n",
|
||
" shutil.copyfile(o_name,n_name)\n",
|
||
" print(n_name)\n",
|
||
" \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "377fc3ce-42c6-4710-a820-392e8d536463",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-06-08T12:40:32.030220Z",
|
||
"iopub.status.busy": "2023-06-08T12:40:32.029391Z",
|
||
"iopub.status.idle": "2023-06-08T12:40:32.039592Z",
|
||
"shell.execute_reply": "2023-06-08T12:40:32.037309Z",
|
||
"shell.execute_reply.started": "2023-06-08T12:40:32.030146Z"
|
||
}
|
||
},
|
||
"source": [
|
||
"## 生成电子文件明细表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 3,
|
||
"id": "6865596a-6524-483f-a984-b773f8d2cab0",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-06-08T12:41:21.045391Z",
|
||
"iopub.status.busy": "2023-06-08T12:41:21.044573Z",
|
||
"iopub.status.idle": "2023-06-08T12:41:21.701415Z",
|
||
"shell.execute_reply": "2023-06-08T12:41:21.700659Z",
|
||
"shell.execute_reply.started": "2023-06-08T12:41:21.045318Z"
|
||
}
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"\n",
|
||
"fi_path = 'file/20230530'\n",
|
||
"old = []\n",
|
||
"dict2 = {}\n",
|
||
"list1 = []\n",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"for k, v in dict1.items(): \n",
|
||
" m_name = v['name']\n",
|
||
" m_depart = v['unit'] \n",
|
||
" dict2[int(k)] = [m_name,m_depart]\n",
|
||
" list1.append([k.rjust(5,\"0\"),m_depart,m_name])\n",
|
||
"filename = 'data/燕山石化体测报告明细表.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
"wb.save(filename)"
|
||
]
|
||
},
|
||
{
|
||
"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": null,
|
||
"id": "aab3ed2b-54f1-42de-8e83-cc559827a4b5",
|
||
"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",
|
||
"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": null,
|
||
"id": "9851d728-8c85-48fd-b7d6-d0104318e89d",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "e0f26f0a-6374-4903-a6c9-99cf25e5db2a",
|
||
"metadata": {
|
||
"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": null,
|
||
"id": "d171e87d-9709-4de8-8261-e1eb4343e002",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "864da63f-bc6a-4246-81ec-e626680cf300",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "b605b817-da5f-407f-916b-ce4750727335",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "96506507-439f-42b5-93f7-bcba8930dae9",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "10cc353b-32cb-45eb-9362-da22b170c301",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "532b4d97-df50-4fd9-9e85-1181afcd366e",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "4377cf1d-83f0-4e6b-819f-f274915886b9",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "4fafdc11-c93b-4a8d-854e-61748713d0f8",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "cae4d5b6-20ef-4a24-91ea-59ddc691349a",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "9d5660b9-2046-4319-b2c2-29ba5ddf818f",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "38d9f91d-18de-4df1-8179-03579008c2d0",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "0bf8400c-060e-420e-ba66-04fb67bfc09a",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "daa09874-e7a1-4aaa-b648-023e8358adfb",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "43d4e63d-a615-4ac0-b075-c938dc346e98",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "69d07666-1a7d-42a0-85df-e88f956b9444",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "798112d0-63e6-4a4b-9959-dbadf3c4ed54",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "e9444e38-450c-4e70-a98e-aa312d83d9c4",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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": null,
|
||
"id": "3248d9c5-bea2-492c-9a7a-ac2c9632b514",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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
|
||
}
|