{ "cells": [ { "cell_type": "markdown", "id": "28695364-38de-442e-818d-cfab45902763", "metadata": {}, "source": [ "## 导入人员信息" ] }, { "cell_type": "code", "execution_count": 10, "id": "2f2feca4-e0bf-4d68-af95-d3cfe5ac28bb", "metadata": { "execution": { "iopub.execute_input": "2023-03-24T07:08:15.339494Z", "iopub.status.busy": "2023-03-24T07:08:15.338898Z", "iopub.status.idle": "2023-03-24T07:08:16.235510Z", "shell.execute_reply": "2023-03-24T07:08:16.233968Z", "shell.execute_reply.started": "2023-03-24T07:08:15.339445Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/student_20140922(东营工程设计院监测花名册2023年) .xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\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, 4).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 6).value\n", " if sheet.cell(n, 7).value ==1:\n", " sex = '男'\n", " else:\n", " sex = '女'\n", " dict1['sex'] = sex\n", " dict1['unit'] = sheet.cell(n, 3).value\n", "\n", "\n", " person[code] = dict1\n", "filename = 'data/东营工程设计院人员名单.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "76caa442-de4f-41eb-8743-b4a9d6c749d0", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": 12, "id": "ab77e97a-de62-44dc-874e-72e9c8aaecf2", "metadata": { "execution": { "iopub.execute_input": "2023-03-24T07:12:38.950011Z", "iopub.status.busy": "2023-03-24T07:12:38.949468Z", "iopub.status.idle": "2023-03-24T07:12:39.008067Z", "shell.execute_reply": "2023-03-24T07:12:39.006932Z", "shell.execute_reply.started": "2023-03-24T07:12:38.949964Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import json\n", "import time\n", "import csv\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/141.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[4])\n", " m_item = str(result[0]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = str(result[6])\n", " re_ta[user]['unit'] = str(result[5]) \n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{}) \n", " score = int(result[1])/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[2]\n", "filename = 'data/result_东营石油工程设计院.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "c4107446-c0c6-4d76-9062-284ff806ec86", "metadata": {}, "source": [ "## 导出测试成绩" ] }, { "cell_type": "code", "execution_count": 13, "id": "ee6db59f-dcc3-4a85-8dba-2e212c2b5be0", "metadata": { "execution": { "iopub.execute_input": "2023-03-24T07:12:42.339250Z", "iopub.status.busy": "2023-03-24T07:12:42.338673Z", "iopub.status.idle": "2023-03-24T07:12:42.489449Z", "shell.execute_reply": "2023-03-24T07:12:42.488377Z", "shell.execute_reply.started": "2023-03-24T07:12:42.339201Z" }, "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/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", "filename = 'data/result_东营石油工程设计院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/东营工程设计院人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", " \n", "list1 = []\n", "for k, v in dict1.items():\n", " list2 = []\n", " list2.append(str(k).rjust(5,'0'))\n", " list2.append(v['name']) \n", " list2.append(dict2[k]['sex'])\n", " list2.append(dict2[k]['unit']) \n", " \n", " for item in items:\n", " if item in v.keys():\n", " list2.append(v[item]['成绩']) \n", " elif item =='name':\n", " list2.append(v[item])\n", " else:\n", " list2.append('') \n", " list1.append(list2)\n", "filename = 'data/东营石油工程设计院体测情况表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename)" ] }, { "cell_type": "code", "execution_count": 10, "id": "579fd3c1-7fe3-49ef-8875-0d823b7d0546", "metadata": { "execution": { "iopub.execute_input": "2023-03-23T14:30:43.407552Z", "iopub.status.busy": "2023-03-23T14:30:43.406666Z", "iopub.status.idle": "2023-03-23T14:30:43.479839Z", "shell.execute_reply": "2023-03-23T14:30:43.478772Z", "shell.execute_reply.started": "2023-03-23T14:30:43.407511Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "338\n" ] } ], "source": [ "import json\n", "import openpyxl\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", "#SQL语句为：\n", "#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n", "filename = 'data/东营工程设计院人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/141.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", "dict3 = {}\n", "for result in list1:\n", " user = result[2]\n", " if user in dict2.keys():\n", " dict3.setdefault(user,{}) \n", " dict3[user]['name'] = dict2[user]['name']\n", " dict3[user]['unit'] = dict2[user]['unit']\n", "\n", "print(len(dict3))\n", "list1 = []\n", "for k, v in dict3.items():\n", " list2 = [k,v['name'],v['unit']]\n", " list1.append(list2)\n", "filename = 'data/东营工程设计院参加测试人员情况表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename) \n", " " ] }, { "cell_type": "code", "execution_count": null, "id": "9d3647aa-9f06-4a96-9d60-690d61b1a384", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 5 }