{ "cells": [ { "cell_type": "markdown", "id": "effb9eb3-27b3-4cc6-bed5-68f7e5279316", "metadata": {}, "source": [ "## 导入人员信息" ] }, { "cell_type": "code", "execution_count": 2, "id": "069af150-58fd-45ff-bab7-8fe1760abe91", "metadata": { "execution": { "iopub.execute_input": "2023-04-15T14:25:29.264807Z", "iopub.status.busy": "2023-04-15T14:25:29.263987Z", "iopub.status.idle": "2023-04-15T14:25:29.959415Z", "shell.execute_reply": "2023-04-15T14:25:29.958603Z", "shell.execute_reply.started": "2023-04-15T14:25:29.264769Z" }, "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(上地派出所监测花名册) .xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\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", " person[code] = dict1\n", "filename = 'data/上地派出所人员名单.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "b5eb1f6a-a960-4d51-8c09-f77794926159", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": 10, "id": "d0cb294b-d403-4c4c-9de6-61ec98cf9797", "metadata": { "execution": { "iopub.execute_input": "2023-05-05T06:41:07.266525Z", "iopub.status.busy": "2023-05-05T06:41:07.266100Z", "iopub.status.idle": "2023-05-05T06:41:07.287905Z", "shell.execute_reply": "2023-05-05T06:41:07.286990Z", "shell.execute_reply.started": "2023-05-05T06:41:07.266497Z" }, "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", "filename = 'data/上地派出所人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "re_ta = {}\n", "dict2 = {}\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/142.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", " \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]['unit'] = dict1[user]['unit'] \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_上地派出所1.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "ac363a21-83aa-42e5-a82b-fd051e4b86a7", "metadata": {}, "source": [ "## 计算测试成绩平均分" ] }, { "cell_type": "code", "execution_count": 19, "id": "4f5a8416-3536-4c52-bfdc-758420e519d3", "metadata": { "execution": { "iopub.execute_input": "2023-05-05T07:17:09.764428Z", "iopub.status.busy": "2023-05-05T07:17:09.763611Z", "iopub.status.idle": "2023-05-05T07:17:09.782569Z", "shell.execute_reply": "2023-05-05T07:17:09.781678Z", "shell.execute_reply.started": "2023-05-05T07:17:09.764387Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import json\n", "import openpyxl\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", "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_上地派出所1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "for k, v in dict1.items():\n", " i = 0\n", " score = 0\n", " for k1, v1 in v.items():\n", " \n", " if k1 in items:\n", " score = score + int(v1['得分'])\n", " i = i + 1\n", " pjf = score / i\n", " dict1[k]['总分'] = score\n", " dict1[k]['平均分'] = round(score / i,2)\n", "filename = 'data/result_上地派出所.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl) \n", "print('ok')\n", " \n", " " ] }, { "cell_type": "markdown", "id": "f62cd919-feb9-4db1-aacc-09b3b8ea30c1", "metadata": {}, "source": [ "## 导出测试成绩" ] }, { "cell_type": "code", "execution_count": 22, "id": "eafc36e7-6a8d-4744-b5ff-9cc0c624c732", "metadata": { "execution": { "iopub.execute_input": "2023-05-05T07:19:08.537806Z", "iopub.status.busy": "2023-05-05T07:19:08.536964Z", "iopub.status.idle": "2023-05-05T07:19:08.596852Z", "shell.execute_reply": "2023-05-05T07:19:08.595844Z", "shell.execute_reply.started": "2023-05-05T07:19:08.537767Z" }, "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_上地派出所.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/上地派出所人员名单.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(dict2[k]['name']) \n", " list2.append(dict2[k]['sex'])\n", " list2.append(dict2[k]['unit'])\n", " for item in items:\n", " if item in dict1[k].keys():\n", " list2.append(dict1[k][item]['成绩'])\n", " list2.append(dict1[k][item]['得分']) \n", " elif item =='name':\n", " list2.append(dict1[k][item])\n", " else:\n", " list2.append('') \n", " list2.append('')\n", " list2.append(dict1[k]['总分'])\n", " list2.append(dict1[k]['平均分'])\n", " list1.append(list2)\n", "filename = 'data/上地派出所体测情况表.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": "markdown", "id": "c6ef75ff-0aa5-422d-a21c-98e2ebe89672", "metadata": {}, "source": [ "## 统计项目平均分" ] }, { "cell_type": "code", "execution_count": 39, "id": "228b4f0c-deac-41e7-a995-e6d3ea4a0cdf", "metadata": { "execution": { "iopub.execute_input": "2023-05-05T08:40:23.243572Z", "iopub.status.busy": "2023-05-05T08:40:23.242724Z", "iopub.status.idle": "2023-05-05T08:40:23.257387Z", "shell.execute_reply": "2023-05-05T08:40:23.256275Z", "shell.execute_reply.started": "2023-05-05T08:40:23.243532Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "体重 3.18\n", "肺活量 3.75\n", "握力 2.23\n", "坐位体前屈 2.79\n", "纵跳 2.72\n", "俯卧撑 3.24\n", "一分钟仰卧起坐 3.83\n", "单脚站立 1.77\n", "选择反应时 3.73\n", "台阶指数 2.52\n" ] } ], "source": [ "import json\n", "import openpyxl\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", "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_上地派出所.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/上地派出所人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", " \n", "list1 = []\n", "\n", "for item in items:\n", " i = 0\n", " score = 0\n", " for k, v in dict1.items():\n", " if item in v.keys():\n", " score = int(v[item]['得分']) + score \n", " i = i + 1\n", " \n", " \n", " print(item,round(score/i,2)) \n", " \n", " \n" ] }, { "cell_type": "code", "execution_count": null, "id": "fc3c36c2-4697-4709-b755-ec6ade9451bd", "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 }