455 lines
13 KiB
Plaintext
455 lines
13 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "61f4a6eb-797e-4fe2-95df-e27b316c95f1",
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"metadata": {},
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"source": [
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"### 人员基本信息导入"
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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": "f6bc68b5-9ed8-4b28-ab1a-452107b6429a",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"\n",
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"wb = openpyxl.load_workbook('data/北海石化监测花名册2022 .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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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,2).value is None:\n",
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" break\n",
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" else: \n",
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" code = int(sheet.cell(n, 4).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, 6).value \n",
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" xb = str(sheet.cell(n, 7).value)\n",
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" if xb == '1':\n",
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" sex = '男'\n",
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" elif xb =='2':\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" dict1['birth'] = str(sheet.cell(n,8).value).split(' ')[0]\n",
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" person[code] = dict1\n",
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"filename = 'data/北海炼化人员_2022.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "fe54b0b2-0abd-4ee9-827d-0e3a4c9bd1f2",
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"metadata": {},
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"source": [
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"### 获取人员测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"id": "97031317-76ed-4404-b922-6ca749e4fd2a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-11-01T09:18:38.933088Z",
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"iopub.status.busy": "2022-11-01T09:18:38.932552Z",
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"iopub.status.idle": "2022-11-01T09:18:39.012745Z",
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"shell.execute_reply": "2022-11-01T09:18:39.011599Z",
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"shell.execute_reply.started": "2022-11-01T09:18:38.933039Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"#SQL语句为：\n",
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"# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n",
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"\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息：\")\n",
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"filename = 'data/138_2210.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[4])\n",
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" m_item = str(result[0]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = str(result[6])\n",
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" re_ta[user]['unit'] = str(result[5]) \n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[1])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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" re_ta[user][item_name]['得分'] =result[2]\n",
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"filename = 'data/result_北海炼化2022.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl) \n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "be6b6709-a2b0-4c34-aca1-000e1fb45953",
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"metadata": {},
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"source": [
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"### 导出测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"id": "f70a02f2-934e-43ed-93ff-b34cb732dfc6",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-11-01T09:18:42.502192Z",
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"iopub.status.busy": "2022-11-01T09:18:42.501603Z",
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"iopub.status.idle": "2022-11-01T09:18:42.729776Z",
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"shell.execute_reply": "2022-11-01T09:18:42.728671Z",
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"shell.execute_reply.started": "2022-11-01T09:18:42.502143Z"
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},
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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 openpyxl\n",
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"\n",
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"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"title = ['编号','姓名','性别','单位/部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"filename = 'data/result_北海炼化2022.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/北海炼化人员_2022.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(8,'0'))\n",
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" list2.append(v['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit']) \n",
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" \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/北海炼化体测情况表（截至20221101）.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "84325f89-1408-4d0a-b877-f4b54bcb22ce",
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"metadata": {},
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"source": [
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"### 统计部门测试人员情况"
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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": 24,
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"id": "c42c5c04-49f3-4b4c-8f77-e37cfa9748f2",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-11-01T09:27:40.105525Z",
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"iopub.status.busy": "2022-11-01T09:27:40.104998Z",
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"iopub.status.idle": "2022-11-01T09:27:40.151243Z",
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"shell.execute_reply": "2022-11-01T09:27:40.150059Z",
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"shell.execute_reply.started": "2022-11-01T09:27:40.105476Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok!\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"title = ['部门','部门人数','已测人数','未测人数']\n",
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"filename = 'data/北海炼化人员_2022.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"filename = 'data/result_北海炼化2022.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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"dict3 = {}\n",
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"for k, v in dict1.items():\n",
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" dict3.setdefault(v['unit'],{})\n",
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" dict3[v['unit']].setdefault('人数',0)\n",
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" dict3[v['unit']].setdefault('已测人数',0)\n",
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" dict3[v['unit']]['人数'] = dict3[v['unit']]['人数']+1\n",
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"for k, v in dict2.items():\n",
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" if len(v.keys())>5: \n",
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" dict3[v['unit']]['已测人数'] = dict3[v['unit']]['已测人数'] + 1\n",
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"list1 = []\n",
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"\n",
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"for k, v in dict3.items():\n",
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" list2 = []\n",
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" list2 = [k,v['人数'],v['已测人数'],v['人数']-v['已测人数']]\n",
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" \n",
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" list1.append(list2)\n",
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"filename = 'data/北海炼化体测人数统计表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)\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": "5ec595eb-f979-425e-b7eb-9af094ffb43d",
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"metadata": {},
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"source": [
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"### 导入2021年人员信息"
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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": 8,
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"id": "a9460ee7-1f60-4a3b-a45d-8a1dba04b920",
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"metadata": {
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||
"execution": {
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||
"iopub.execute_input": "2022-10-31T11:54:40.324705Z",
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||
"iopub.status.busy": "2022-10-31T11:54:40.324184Z",
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||
"iopub.status.idle": "2022-10-31T11:54:40.626097Z",
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||
"shell.execute_reply": "2022-10-31T11:54:40.624830Z",
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"shell.execute_reply.started": "2022-10-31T11:54:40.324656Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"filename = 'data/北海炼化人员_2022.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/all_result.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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"dict3 = {}\n",
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"dict3 = dict2['北海炼化']\n",
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"\n",
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"for k, v in dict1.items():\n",
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" name = v['name']\n",
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" birth = v['birth']\n",
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" for k1, v1 in dict3.items():\n",
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" if v1['name'] == name and v1['birth'] == birth:\n",
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" dict1[k]['old_code'] = int(k1)\n",
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" dict1[k]['record'] = v1['record']\n",
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" \n",
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"filename = 'data/北海炼化人员_2022.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False) \n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0a221ef2-0d86-45a7-916e-bce634a57bfe",
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"metadata": {},
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"source": [
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"### 核对2021体测人员"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "61fbd157-f4f0-4c85-98dc-0e79ee99280b",
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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 openpyxl\n",
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"\n",
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"filename = 'data/北海炼化人员_2022.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"list1 = []\n",
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"for k,v in dict1.items():\n",
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" if 'old_code' in v.keys():\n",
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" list1.append(v['old_code'])\n",
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"filename = 'data/all_result.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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"dict3 = {}\n",
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"dict3 = dict2['北海炼化']\n",
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"for k, v in dict3.items():\n",
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" if int(k) not in list1:\n",
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" print(k,v['name'],v['birth'])"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e6698931-04fb-4dd8-a844-55790cbe3eb9",
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"metadata": {},
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"source": [
|
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"### 比照人员两年成绩"
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]
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},
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{
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"cell_type": "markdown",
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"id": "727be8d7-8a4c-4cf4-8139-476f407a31b0",
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"metadata": {},
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"source": [
|
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"#### 比照两年单项成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d3ca4d45-6a83-4d50-8419-cf8aa9b3aa4c",
|
||
"metadata": {
|
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"tags": []
|
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},
|
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"outputs": [],
|
||
"source": [
|
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"import json\n",
|
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"import openpyxl\n",
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"\n",
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"filename = 'data/北海炼化人员_2022.json'\n",
|
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"list1 = dict1.keys()\n",
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"items = ['台阶指数']\n",
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"title = ['编号','姓名','部门','22年台阶指数','21年台阶指数']\n",
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"filename = 'data/result_北海炼化2022.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"list4 = []\n",
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"for k, v in dict2.items():\n",
|
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" if k in list1:\n",
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" list2 = [k,v['name'],v['unit']]\n",
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" list3 = []\n",
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" for item in items:\n",
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" # 获取2022年成绩\n",
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" if item in v.keys(): \n",
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" list2.append(v[item]['成绩'].split()[0]) \n",
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" else:\n",
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" list2.append('')\n",
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" # 获取2021年成绩\n",
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" if 'record' in dict1[k].keys() and item in dict1[k]['record'].keys():\n",
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" list3.append(dict1[k]['record'][item]['成绩']) \n",
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" else:\n",
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" list3.append('')\n",
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" for cj in list3:\n",
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" if cj != '':\n",
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" list2.append(cj.split()[0]) \n",
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" \n",
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" list4.append(list2)\n",
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"filename = 'data/b北海炼化成绩对照221026.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list4:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename) "
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]
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},
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{
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"cell_type": "code",
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||
"execution_count": null,
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||
"id": "70de1be8-e55c-4b7a-bad9-78ad77f199d0",
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"metadata": {},
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"outputs": [],
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||
"source": []
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||
}
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||
],
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||
"metadata": {
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||
"kernelspec": {
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||
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||
"language": "python",
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||
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||
},
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||
"language_info": {
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||
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||
"version": "3.8.10"
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||
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||
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||
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||
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