From 9a4fd0cfe8ed6716c72201ccaa9f9e3379e5e6f5 Mon Sep 17 00:00:00 2001 From: 512song Date: Tue, 28 Nov 2023 08:20:05 +0000 Subject: [PATCH] 20231128 --- 体测单位/中国石化化工销售.ipynb | 320 +++++++++++++ 体测单位/农工党延庆支部.ipynb | 786 ++++++++++++++++++++++++++++++++ 2 files changed, 1106 insertions(+) create mode 100644 体测单位/中国石化化工销售.ipynb create mode 100644 体测单位/农工党延庆支部.ipynb diff --git a/体测单位/中国石化化工销售.ipynb b/体测单位/中国石化化工销售.ipynb new file mode 100644 index 0000000..ac6fb31 --- /dev/null +++ b/体测单位/中国石化化工销售.ipynb @@ -0,0 +1,320 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "04524c85-988e-4dbf-86eb-939a9db7aa28", + "metadata": {}, + "source": [ + "\n", + "## 体测人员导入" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "bbba6efc-73cd-4db6-bae7-014724fee731", + "metadata": { + "execution": { + "iopub.execute_input": "2023-11-28T02:30:49.403409Z", + "iopub.status.busy": "2023-11-28T02:30:49.403129Z", + "iopub.status.idle": "2023-11-28T02:30:49.433515Z", + "shell.execute_reply": "2023-11-28T02:30:49.432950Z", + "shell.execute_reply.started": "2023-11-28T02:30:49.403391Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/中国石化化工销售员工花名册（20231128）.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, 1).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value\n", + " dict1['sex'] = sheet.cell(n, 3).value\n", + " dict1['unit'] = sheet.cell(n, 4).value\n", + " dict1['id'] = sheet.cell(n,5).value\n", + " id = str(sheet.cell(n,5).value)\n", + " birth = id[6:10]+'-'+ id[10:12]+'-' +id[12:14]\n", + " dict1['birth'] = birth\n", + " person[code] = dict1\n", + "filename = 'data/中国石化化工销售.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "048a95aa-1691-45f6-b933-6eaf95ae1d30", + "metadata": {}, + "source": [ + "## 生成读卡系统文件" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f", + "metadata": { + "execution": { + "iopub.execute_input": "2023-11-28T02:32:36.887442Z", + "iopub.status.busy": "2023-11-28T02:32:36.887196Z", + "iopub.status.idle": "2023-11-28T02:32:36.893879Z", + "shell.execute_reply": "2023-11-28T02:32:36.893384Z", + "shell.execute_reply.started": "2023-11-28T02:32:36.887424Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/中国石化化工销售.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "for k, v in dict1.items():\n", + " dict2 = {}\n", + " #if dict1['sex'] =='男':\n", + " # sex = 1\n", + " \n", + " dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n", + " list1.append(dict2)\n", + "json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n", + "\n", + "# 将 json 数据写入文件\n", + "with open(\"data/data_中国石化化工销售.json\", \"w\",encoding = 'utf-8') as file:\n", + " file.write(json_data) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f", + "metadata": {}, + "source": [ + "## 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "970e171e-1360-448f-a28c-520ccb8f314a", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-18T02:17:23.733390Z", + "iopub.status.busy": "2023-10-18T02:17:23.733131Z", + "iopub.status.idle": "2023-10-18T02:17:23.758353Z", + "shell.execute_reply": "2023-10-18T02:17:23.757550Z", + "shell.execute_reply.started": "2023-10-18T02:17:23.733366Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "141\n", + "141\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", + "filename = 'data/北京党校.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/places_result_20231018.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]['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", + "print(len(re_ta))\n", + "filename = 'data/result_北京党校.json'\n", + "\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": "d034a61d-1fbd-417b-99bd-277e43ebb678", + "metadata": {}, + "source": [ + "## 导出测试人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890", + "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','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", + "\n", + "filename = 'data/result_北京党校.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/北京党校.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", + " 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/北京党校.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": "699c6a40-a6ae-4300-9646-708cb85aa5e8", + "metadata": {}, + "source": [ + "## 手工数据导入数据库" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "def3f47a-24ef-4815-b63b-2a16b79b4c15", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "filename = 'data/北京党校.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "wb = openpyxl.load_workbook('data/北京党校手工数据.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "dict1 = {}\n", + "dict3 = {1:10,2:11,3:7,4:2,5:6,6:3,7:1}\n", + "sheet = wb.active\n", + "data1 =list(sheet.values)\n", + "del data1[0]\n", + "list1 = []\n", + "for item in data1:\n", + " code = int(item[0])\n", + " list1.append((496534,code,item[2],item[1],'2023-10-15','2023-10-15 14:00:00'))\n", + "print(list1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "67e63f07-3f20-4e0e-9c07-7bf6024eeb4b", + "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": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/体测单位/农工党延庆支部.ipynb b/体测单位/农工党延庆支部.ipynb new file mode 100644 index 0000000..2985206 --- /dev/null +++ b/体测单位/农工党延庆支部.ipynb @@ -0,0 +1,786 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "04524c85-988e-4dbf-86eb-939a9db7aa28", + "metadata": {}, + "source": [ + "## 体测人员导入" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bbba6efc-73cd-4db6-bae7-014724fee731", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/农工党延庆支部人员名单.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " code = str(sheet.cell(n, 4).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 1).value\n", + " dict1['unit'] = '农工党延庆支部'\n", + " dict1['sex'] = sheet.cell(n, 2).value\n", + " nianyue = str(sheet.cell(n,3).value).replace('.','-')+'-01'\n", + " dict1['birth'] = nianyue\n", + " person[code] = dict1\n", + "filename = 'data/农工党延庆支部.json'\n", + "print(len(person))\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "780a00d8-ada3-4c52-bd3a-301cdaec8463", + "metadata": {}, + "source": [ + "## 导入问卷信息" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dc0a78bb-ce82-4f6d-ba53-8bd9655f39af", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "from datetime import date\n", + "\n", + "\n", + "filename = 'data/农工党延庆支部.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "\n", + "list1 = []\n", + "filename = 'data/Survey_20231121.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", + "dict2 = {}\n", + "m_rq = '2023-11-20'\n", + "rq= date.fromisoformat(m_rq.replace('/','-'))\n", + "for item in list1:\n", + " if item[2] in dict1.keys(): \n", + " dict2[str(item[2])] = dict1[str(item[2])]\n", + " rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0]) \n", + " tcm = []\n", + " for i in range(0,60):\n", + " tcm.append(0)\n", + " content = json.loads(item[5]) \n", + " for k, v in content.items(): \n", + " i = int(k[1:])\n", + " tcm[i-1] = int(v)\n", + " dict2[str(item[2])]['tcm'] = tcm\n", + " birth = date.fromisoformat(dict1[str(item[2])]['birth'].replace('/','-'))\n", + "\n", + " days = (rq-birth).days \n", + " dict2[str(item[2])]['age'] = int(days/365)\n", + " dict2[str(item[2])]['month'] = int(days/365*12)\n", + "print(len(dict2))\n", + "filename = 'data/result_农工党延庆支部问卷.json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2, fl, ensure_ascii=False) " + ] + }, + { + "cell_type": "markdown", + "id": "5c72d14d-0f75-41d5-a334-fc16f4a2d275", + "metadata": {}, + "source": [ + "## 统计未参加问卷人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b646b5d-c4f6-4d37-9510-30fcbef44855", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "\n", + "filename = 'data/农工党延庆支部.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "\n", + "list1 = []\n", + "filename = 'data/Survey_20231121.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", + "phone1 = set()\n", + "for result in list1:\n", + " phone1.add(result[2])\n", + "\n", + "for k, v in dict1.items():\n", + " if k not in phone1:\n", + " print(k,v['name'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0bc15d3a-e0a4-4089-9891-be3da20660cc", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "\n", + "filename = 'data/农工党延庆支部.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "\n", + "filename = 'data/Survey_20231121.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", + "for item in list1:\n", + " if item[2] not in dict1.keys():\n", + " print(item[2])" + ] + }, + { + "cell_type": "markdown", + "id": "93dfaaf1-95a5-467d-b7d8-e0f0e4a6e0dd", + "metadata": {}, + "source": [ + "## 生成报告" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ab9b8e0c-53dd-4b93-a42a-7d1952b0423a", + "metadata": { + "execution": { + "iopub.execute_input": "2023-11-21T02:43:16.230464Z", + "iopub.status.busy": "2023-11-21T02:43:16.229691Z", + "iopub.status.idle": "2023-11-21T02:43:18.707519Z", + "shell.execute_reply": "2023-11-21T02:43:18.706897Z", + "shell.execute_reply.started": "2023-11-21T02:43:16.230392Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15010721720 吕毅夫 {\"errmsg\":\"ok\"}\n", + "13911532480 王若云 {\"errmsg\":\"ok\"}\n", + "15810430182 赵凤龙 {\"errmsg\":\"ok\"}\n", + "17778112523 蔡丽娟 {\"errmsg\":\"ok\"}\n", + "15910393682 吴晨晨 {\"errmsg\":\"ok\"}\n", + "13241607620 韦树鹏 {\"errmsg\":\"ok\"}\n", + "15201130595 刘均平 {\"errmsg\":\"ok\"}\n", + "18500858558 张超 {\"errmsg\":\"ok\"}\n", + "13911692169 郑文凯 {\"errmsg\":\"ok\"}\n", + "15910799757 王贝 {\"errmsg\":\"ok\"}\n", + "13911816920 王欣 {\"errmsg\":\"ok\"}\n", + "13621168106 赵颖 {\"errmsg\":\"ok\"}\n", + "13683643617 周娟 {\"errmsg\":\"ok\"}\n", + "15010369810 黄俊平 {\"errmsg\":\"ok\"}\n", + "13810927023 高丽 {\"errmsg\":\"ok\"}\n", + "15210546702 杨海燕 {\"errmsg\":\"ok\"}\n", + "15010601650 于永华 {\"errmsg\":\"ok\"}\n", + "15910799750 韩骐 {\"errmsg\":\"ok\"}\n", + "13784086161 霍莉媛 {\"errmsg\":\"ok\"}\n", + "15810404851 王建斌 {\"errmsg\":\"ok\"}\n", + "15810830119 奚晓亮 {\"errmsg\":\"ok\"}\n", + "13651123781 马海涛 {\"errmsg\":\"ok\"}\n", + "13651357627 高桂所 {\"errmsg\":\"ok\"}\n", + "13718793001 乔金梅 {\"errmsg\":\"ok\"}\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "headers = {\n", + " \"Content-Type\": \"application/json; charset=UTF-8\"\n", + " }\n", + "filename = 'data/result_农工党延庆支部问卷.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "fiie_path ='./政法委1/'\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", + "i = 27\n", + "list2 = []\n", + "for k,v in dict1.items(): \n", + " list1 = []\n", + " mydata = {} \n", + " id = k.rjust(3,\"0\")\n", + " mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n", + " mydata['title'] = '农工党延庆支部'\n", + " #mydata['subtitle'] = ''\n", + " mydata['id'] = id\n", + " mydata['name'] = v['name']\n", + " if v['sex'] == '男':\n", + " mydata['gender'] = 'male'\n", + " else:\n", + " mydata['gender'] = 'female' \n", + " mydata['month'] = v['month']\n", + " \n", + " if 'tcm' in v.keys():\n", + " mydata.setdefault('surveys',{})\n", + " mydata['surveys']['tcm'] = v['tcm']\n", + " \n", + " mydata['fits'] = {}\n", + " #mydata.setdefault('fits',{})\n", + " for item in list_item:\n", + " if item in dict1[k].keys():\n", + " if item in ['lung','pushup','step','situp']:\n", + " mark = dict1[k][item]['成绩'].split()[0].split('.')[0]\n", + " else:\n", + " mark = dict1[k][item]['成绩'].split()[0]\n", + " mydata['fits'][item] = {'mark':mark,'score':dict1[k][item]['score']}\n", + " #print(mydata) \n", + " \n", + " list1.append(mydata)\n", + " #list2.append([k,dict1[k]['name']])\n", + "\n", + " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", + " print(id,dict1[k]['name'],x.text)\n", + " x.close()\n", + " #print(mydata)\n" + ] + }, + { + "cell_type": "markdown", + "id": "fd349cad-ac40-4f35-8eb3-3642a9a82899", + "metadata": {}, + "source": [ + "## 数据分析" + ] + }, + { + "cell_type": "markdown", + "id": "187d68b0-f404-489f-8c42-1ae98139ac5c", + "metadata": {}, + "source": [ + "### 清理报告数据" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8da85b6e-6a8e-4552-ac9b-475986520edb", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "\n", + "filename = 'data/result_政法委new.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\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", + "items = {}\n", + "items['lung'] = '肺活量'\n", + "items['grip'] ='握力'\n", + "items['flexion'] ='坐位体前屈'\n", + "items['jump'] ='纵跳'\n", + "items['pushup'] ='俯卧撑'\n", + "items['balance'] ='单脚站立'\n", + "items['reaction'] ='选择反应时'\n", + "items['step'] ='台阶指数'\n", + "items['situp'] ='一分钟仰卧起坐'\n", + "items['bmi'] ='BMI'\n", + "\n", + "\n", + "list1 = []\n", + "\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", + "i=1\n", + "list2 = []\n", + "dict2 = {}\n", + "for k, v in dict1.items():\n", + " list1 = []\n", + " mydata = {}\n", + " \n", + " id = str(k).rjust(3,\"0\")\n", + " mydata['unit'] = v['unit']\n", + " mydata['name'] = v['name']\n", + " mydata['sex'] = v['sex']\n", + " mydata['month'] = v['month']\n", + " age = int(v['month']/12)\n", + " if age <20:\n", + " mydata['age'] = 20\n", + " else:\n", + " mydata['age'] = int(v['month']/12)\n", + " \n", + " mydata['fits'] = {}\n", + " score = 0\n", + " for item in list_item:\n", + " if item in v.keys():\n", + " if item in ['lung','pushup','step','situp']:\n", + " mark = v[item]['成绩'].split()[0].split('.')[0]\n", + " n+=1\n", + " else:\n", + " mark = v[item]['成绩'].split()[0]\n", + " mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n", + " score = score + v[item]['score']\n", + " \n", + " #mydata['score'] = round(score/len(mydata['fits']),2)\n", + " if len(mydata['fits']) >2:\n", + " mydata['score'] = round(score/len(mydata['fits']),2)\n", + " dict2[str(k)] = mydata\n", + "filename = f'data/data_政法委.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "markdown", + "id": "a6539755-2418-452c-a8c2-73330e7a074c", + "metadata": {}, + "source": [ + "### 计算测试等级" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e37fb523-af73-42b7-8b74-c91cbfa0e0d7", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\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/data_政法委.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", + "print(len(dict1))" + ] + }, + { + "cell_type": "markdown", + "id": "6c1632a4-3bd5-4f63-9593-7675272725ad", + "metadata": {}, + "source": [ + "### 根据年龄汇总人员信息及成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c12bc25a-17d6-4dcf-b739-cfa9bbe4410f", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\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 = 0\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", + " if i ==0:\n", + " print(f'{di}~{gao}岁平均成绩：0分，人数：0人,男性：{m}人')\n", + " else:\n", + " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')" + ] + }, + { + "cell_type": "markdown", + "id": "3c7b8dd3-ca80-45dc-92ae-6832e3c2dbcb", + "metadata": {}, + "source": [ + "### 根据年龄汇总人员信息及成绩（男）" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eec3966b-91ec-4527-86a6-2e5ced6ba002", + "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", + "\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 = 0\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", + " if i ==0:\n", + " print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n", + " else:\n", + " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')" + ] + }, + { + "cell_type": "markdown", + "id": "1277bad3-b04c-4d66-865f-fa6dc3b2bf61", + "metadata": {}, + "source": [ + "### 根据年龄汇总人员信息及成绩（女）" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "40658342-1628-42a5-89ad-85fe592e74bb", + "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 = 0\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", + " if i ==0:\n", + " print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n", + " else:\n", + " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')" + ] + }, + { + "cell_type": "markdown", + "id": "a59a8699-1a62-43ca-a11d-cdc03009b9e1", + "metadata": {}, + "source": [ + "### 计算平均成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "899da5d8-708e-4bb8-a1ce-b82a40cf2e94", + "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", + "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/25,4)}分，总体：25人')" + ] + }, + { + "cell_type": "markdown", + "id": "314ca97d-ad3e-4fe0-a6a5-45b8de94f71e", + "metadata": {}, + "source": [ + "### 计算测试等级" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dfb1b1f1-79fd-47af-9fdb-3671de26a17d", + "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": "fe71a0f0-5494-4462-a123-d0edbbaaf3ab", + "metadata": {}, + "source": [ + "### 计算各年龄段测试等级(女）" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5af094da-db54-4ab7-bbce-7329cb2fc1b1", + "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": "ee7396bd-6548-4aaf-8b6d-53a4fa5f2f56", + "metadata": {}, + "source": [ + "### 计算各年龄段测试等级(男）" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38c51c24-3f9e-4147-9743-19d4f07bc2ff", + "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": "0921bc7f-984e-4aaf-8c3b-8bf9f086c804", + "metadata": {}, + "source": [ + "### 计算各项目成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "229640d7-824b-4cb2-bdec-7d884677a856", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "items = ['BMI','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['fits'].keys():\n", + " n = n + 1\n", + " score =score + int(v['fits'][item]['score'])\n", + " print(item,round(score/n,2),n)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef75cdd8-d83e-48ab-9867-11102714202a", + "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": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}