diff --git a/体测单位/北海炼化.ipynb b/体测单位/北海炼化.ipynb index 64ab821..3e7422e 100644 --- a/体测单位/北海炼化.ipynb +++ b/体测单位/北海炼化.ipynb @@ -1,5 +1,17 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "1c72f0cf-165b-4025-af9d-6771e4a0a5d1", + "metadata": { + "jp-MarkdownHeadingCollapsed": true, + "tags": [], + "toc-hr-collapsed": true + }, + "source": [ + "## 2022年体质检测" + ] + }, { "cell_type": "markdown", "id": "61f4a6eb-797e-4fe2-95df-e27b316c95f1", @@ -626,10 +638,413 @@ "wb.save(filename) " ] }, + { + "cell_type": "markdown", + "id": "c103301b-d540-4bf5-861a-0eb2e313e26e", + "metadata": {}, + "source": [ + "## 2023年体质检测" + ] + }, + { + "cell_type": "markdown", + "id": "1e3f67e9-e332-41c5-89f8-b64ec0bace4c", + "metadata": {}, + "source": [ + "### 人员信息汇总（批量人员）" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "648d597d-2ac4-470c-9562-271e3e2863d6", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T07:27:22.517401Z", + "iopub.status.busy": "2023-10-25T07:27:22.517103Z", + "iopub.status.idle": "2023-10-25T07:27:22.818722Z", + "shell.execute_reply": "2023-10-25T07:27:22.818086Z", + "shell.execute_reply.started": "2023-10-25T07:27:22.517373Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import os,sys,shutil\n", + "import json\n", + "import glob\n", + "from pathlib import Path\n", + "import openpyxl\n", + "\n", + "fi_path = 'data/北海炼化/'\n", + "\n", + "fls = glob.glob(f'{fi_path}/*.xlsx')\n", + "i = 1\n", + "person = {}\n", + "for fl in fls:\n", + " wb = openpyxl.load_workbook(fl)\n", + " sheet = wb.active\n", + " # sheets = wb.sheetnames\n", + " \n", + "\n", + " for n in range(3,sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " code = str(i)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value\n", + " dict1['sex'] = sheet.cell(n,3 ).value\n", + " dict1['婚姻'] = sheet.cell(n, 5).value\n", + " dict1['phone'] = str(sheet.cell(n,6).value)\n", + " dict1['id'] = sheet.cell(n,7 ).value\n", + " dict1['总工龄'] = sheet.cell(n, 8).value\n", + " dict1['损害工龄'] = sheet.cell(n, 9).value\n", + " dict1['既往病史'] = sheet.cell(n,10 ).value\n", + " dict1['有毒因素'] = sheet.cell(n, 11).value\n", + " dict1['unit'] = sheet.cell(n, 12).value\n", + " dict1['工种'] = sheet.cell(n, 13).value\n", + " dict1['防护措施'] = sheet.cell(n,15 ).value \n", + " person[code] = dict1\n", + " i+=1\n", + " \n", + "filename = 'data/北海炼化2023.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "b1f47560-4183-4699-8d63-3d81a3ec002b", + "metadata": {}, + "source": [ + "### 检查身份证及手机号码唯一性" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "a2c1c315-c522-433a-9611-e08dca2445a9", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T07:39:03.122723Z", + "iopub.status.busy": "2023-10-25T07:39:03.122416Z", + "iopub.status.idle": "2023-10-25T07:39:03.163768Z", + "shell.execute_reply": "2023-10-25T07:39:03.163068Z", + "shell.execute_reply.started": "2023-10-25T07:39:03.122696Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "董红军 18877976757\n", + "苗光浩 13927509537\n", + "440906199104060046 440906199104060046\n", + "黄仁进 13807799565\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/北海炼化2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "id= []\n", + "phone = [] \n", + "\n", + "for k, v in dict1.items():\n", + " if v['phone'] not in phone:\n", + " phone.append(v['phone'] )\n", + " else:\n", + " print(v['name'] ,v['phone'])\n", + " if v['id'] not in id:\n", + " id.append(v['id'] )\n", + " else:\n", + " print(v['id'] ,v['id'] )\n" + ] + }, + { + "cell_type": "markdown", + "id": "c1842f66-c81f-423d-bcda-0d49be82b32a", + "metadata": {}, + "source": [ + "### 查找身份证号码" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "7ba235d2-4638-4479-babb-2f9867c177c2", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T06:41:49.969813Z", + "iopub.status.busy": "2023-10-25T06:41:49.969303Z", + "iopub.status.idle": "2023-10-25T06:41:49.984085Z", + "shell.execute_reply": "2023-10-25T06:41:49.982976Z", + "shell.execute_reply.started": "2023-10-25T06:41:49.969767Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "440906199104060046 凌倩\n", + "440906199104060046 陈继杨\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/北海炼化2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "id= '440906199104060046'\n", + "for k, v in dict1.items():\n", + " if v['id'] == id:\n", + " print(id,v['name'])" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "f9d8aafa-9a00-484a-a3c2-b3e9252b505d", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T07:22:33.048929Z", + "iopub.status.busy": "2023-10-25T07:22:33.048318Z", + "iopub.status.idle": "2023-10-25T07:22:33.073020Z", + "shell.execute_reply": "2023-10-25T07:22:33.070785Z", + "shell.execute_reply.started": "2023-10-25T07:22:33.048870Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "18877976757 刘前程\n", + "13927509537 黄洁强\n", + "18877976757 董红军\n", + "13927509537 苗光浩\n", + "13807799565 谢昌俊\n", + "13807799565 黄仁进\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/北海炼化2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "phone= ['13807799565','18877976757','13927509537']\n", + "for k, v in dict1.items():\n", + " if v['phone'] in phone:\n", + " print(v['phone'],v['name'])" + ] + }, + { + "cell_type": "markdown", + "id": "1ea37f21-f03a-4450-8867-71fb8c3eeee7", + "metadata": {}, + "source": [ + "### 生成出生日期" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "dff13fe9-d5cd-45e3-a3e7-f47d12560699", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T07:39:16.409162Z", + "iopub.status.busy": "2023-10-25T07:39:16.408552Z", + "iopub.status.idle": "2023-10-25T07:39:16.466833Z", + "shell.execute_reply": "2023-10-25T07:39:16.465723Z", + "shell.execute_reply.started": "2023-10-25T07:39:16.409106Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/北海炼化2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "for k, v in dict1.items():\n", + " id = str(v['id']) \n", + " #print(id)\n", + " birth = id[6:10] + '-' +id[10:12] + '-' +id[12:14]\n", + " dict1[k]['birth'] = birth\n", + " \n", + " \n", + "filename = 'data/北海炼化2023.json' \n", + "with open(filename, 'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "de060103-776c-40d8-9704-ece6cc574308", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T06:22:41.417620Z", + "iopub.status.busy": "2023-10-25T06:22:41.417111Z", + "iopub.status.idle": "2023-10-25T06:22:41.439732Z", + "shell.execute_reply": "2023-10-25T06:22:41.437319Z", + "shell.execute_reply.started": "2023-10-25T06:22:41.417575Z" + }, + "tags": [] + }, + "source": [ + "### 人员信息汇总（单个文件）" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "61f8d7c3-b7f2-44b7-86f1-5b29d22193cb", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T07:33:25.703931Z", + "iopub.status.busy": "2023-10-25T07:33:25.703619Z", + "iopub.status.idle": "2023-10-25T07:33:25.762953Z", + "shell.execute_reply": "2023-10-25T07:33:25.762254Z", + "shell.execute_reply.started": "2023-10-25T07:33:25.703903Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "filename = 'data/北海炼化2023.json'\n", + "with open(filename,'r') as fl:\n", + " person = json.load(fl)\n", + "i = len(person)+1\n", + "fl = 'data/北海炼化机关名单表(2023年汇总156人).xlsx'\n", + "wb = openpyxl.load_workbook(fl)\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "\n", + "\n", + "for n in range(3,sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " code = str(i)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value\n", + " dict1['sex'] = sheet.cell(n,3 ).value \n", + " dict1['phone'] = sheet.cell(n,6).value\n", + " dict1['id'] = sheet.cell(n,5 ).value \n", + " dict1['婚姻'] = sheet.cell(n, 11).value\n", + " dict1['unit'] = sheet.cell(n, 8).value \n", + " person[code] = dict1\n", + " i+=1\n", + "filename = 'data/北海炼化2023.json' \n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "8da8e47d-b62b-4719-82d5-fcfc61473e08", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T07:38:29.475177Z", + "iopub.status.busy": "2023-10-25T07:38:29.474849Z", + "iopub.status.idle": "2023-10-25T07:38:29.554478Z", + "shell.execute_reply": "2023-10-25T07:38:29.553811Z", + "shell.execute_reply.started": "2023-10-25T07:38:29.475149Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "filename = 'data/北海炼化2023.json'\n", + "with open(filename,'r') as fl:\n", + " person = json.load(fl)\n", + "i = len(person)+1\n", + "fl = 'data/北海炼化上岗体检人员名单 （2023年）.xlsx'\n", + "wb = openpyxl.load_workbook(fl)\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "\n", + "\n", + "for n in range(3,sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " code = str(i)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value\n", + " dict1['sex'] = sheet.cell(n,3 ).value \n", + " dict1['phone'] = str(sheet.cell(n,7).value)\n", + " dict1['id'] = sheet.cell(n,6 ).value\n", + " \n", + " dict1['有毒因素'] = sheet.cell(n, 11).value\n", + " dict1['unit'] = '新上岗'\n", + " dict1['工种'] = sheet.cell(n, 8).value\n", + " dict1['防护措施'] = sheet.cell(n,13 ).value \n", + " person[code] = dict1\n", + " i+=1\n", + "filename = 'data/北海炼化2023.json' \n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')\n" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "2dc319f7-ccca-469a-8db3-2ca82097ab8f", + "id": "fca6186b-9b4d-4bcd-b5ac-1aecfeb2e149", "metadata": {}, "outputs": [], "source": [] @@ -637,7 +1052,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -651,7 +1066,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/体测单位/天津石化.ipynb b/体测单位/天津石化.ipynb index f70f19e..dbfddb1 100644 --- a/体测单位/天津石化.ipynb +++ b/体测单位/天津石化.ipynb @@ -2332,10 +2332,508 @@ "print('ok')" ] }, + { + "cell_type": "markdown", + "id": "85a03b00-9624-4ae9-aa6d-386798d457df", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T02:50:56.997544Z", + "iopub.status.busy": "2023-10-25T02:50:56.995911Z", + "iopub.status.idle": "2023-10-25T02:50:57.006678Z", + "shell.execute_reply": "2023-10-25T02:50:57.004773Z", + "shell.execute_reply.started": "2023-10-25T02:50:56.997463Z" + }, + "tags": [] + }, + "source": [ + "# 体测数据分析" + ] + }, + { + "cell_type": "markdown", + "id": "dca06570-73e6-4f60-8cf9-b3f9da64f1c4", + "metadata": {}, + "source": [ + "## 清理报告数据" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "f9fee64f-41ff-4453-8a32-a33df086022e", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T03:50:48.179535Z", + "iopub.status.busy": "2023-10-25T03:50:48.179245Z", + "iopub.status.idle": "2023-10-25T03:50:48.598995Z", + "shell.execute_reply": "2023-10-25T03:50:48.598421Z", + "shell.execute_reply.started": "2023-10-25T03:50:48.179514Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok!\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "\n", + "filename = 'data/result_天津231017.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", + "fiie_path ='./134/'\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(8,\"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", + " 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", + " mydata['score'] = round(score/len(mydata['fits']),2)\n", + " if len(mydata['fits']) >2:\n", + " dict2[str(k)] = mydata\n", + "filename = f'data/data_天津231017.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "markdown", + "id": "bd1f8f42-c14a-4bb7-8656-14a0f7968cfc", + "metadata": {}, + "source": [ + "## 计算测试等级" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "006afc6c-2b1f-4edf-be1b-5f60e2029ee8", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T03:50:53.233122Z", + "iopub.status.busy": "2023-10-25T03:50:53.232833Z", + "iopub.status.idle": "2023-10-25T03:50:53.316856Z", + "shell.execute_reply": "2023-10-25T03:50:53.316327Z", + "shell.execute_reply.started": "2023-10-25T03:50:53.233097Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0~255分人数：2524人,男性：2056人,女性:468人\n", + "256~332分人数：2214人,男性：1400人,女性:814人\n", + "333~367分人数：495人,男性：274人,女性:221人\n", + "368~500分人数：150人,男性：58人,女性:92人\n", + "5383\n" + ] + } + ], + "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_天津231017.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": "ed3c0653-087a-4a9d-ba21-8cf5f48515d9", + "metadata": {}, + "source": [ + "## 根据年龄汇总人员信息及成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "949e4c3c-023d-44a4-b99e-c5460da61161", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T03:50:55.994714Z", + "iopub.status.busy": "2023-10-25T03:50:55.994442Z", + "iopub.status.idle": "2023-10-25T03:50:56.087067Z", + "shell.execute_reply": "2023-10-25T03:50:56.086443Z", + "shell.execute_reply.started": "2023-10-25T03:50:55.994689Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.47分，人数：1044人,男性：706人\n", + "25~29岁平均成绩：2.57分，人数：540人,男性：372人\n", + "30~34岁平均成绩：2.59分，人数：240人,男性：165人\n", + "35~39岁平均成绩：2.63分，人数：475人,男性：328人\n", + "40~44岁平均成绩：2.68分，人数：411人,男性：245人\n", + "45~49岁平均成绩：2.67分，人数：883人,男性：466人\n", + "50~54岁平均成绩：2.57分，人数：1213人,男性：929人\n", + "55~69岁平均成绩：2.48分，人数：577人,男性：577人\n" + ] + } + ], + "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 = 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": "6a967a44-7c12-4e82-827b-d75926c09e77", + "metadata": {}, + "source": [ + "### 根据年龄汇总人员信息及成绩（男）" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "721977d3-5816-4bf6-82fc-26fd170e5454", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T03:51:22.393382Z", + "iopub.status.busy": "2023-10-25T03:51:22.393098Z", + "iopub.status.idle": "2023-10-25T03:51:22.503597Z", + "shell.execute_reply": "2023-10-25T03:51:22.502884Z", + "shell.execute_reply.started": "2023-10-25T03:51:22.393358Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.38分，人数：706人\n", + "25~29岁平均成绩：2.5分，人数：372人\n", + "30~34岁平均成绩：2.46分，人数：165人\n", + "35~39岁平均成绩：2.49分，人数：328人\n", + "40~44岁平均成绩：2.56分，人数：245人\n", + "45~49岁平均成绩：2.47分，人数：466人\n", + "50~54岁平均成绩：2.47分，人数：929人\n", + "55~80岁平均成绩：2.48分，人数：577人\n" + ] + } + ], + "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 = 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": "3a8f747e-aacd-45bf-b94a-b505cfd31922", + "metadata": {}, + "source": [ + "### 根据年龄汇总人员信息及成绩（女）" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "f493dc0a-d3cd-4dbd-ad35-e06eb96afbc5", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T03:51:25.001730Z", + "iopub.status.busy": "2023-10-25T03:51:25.001459Z", + "iopub.status.idle": "2023-10-25T03:51:25.099310Z", + "shell.execute_reply": "2023-10-25T03:51:25.098566Z", + "shell.execute_reply.started": "2023-10-25T03:51:25.001706Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.65分，人数：338人\n", + "25~29岁平均成绩：2.72分，人数：168人\n", + "30~34岁平均成绩：2.84分，人数：75人\n", + "35~39岁平均成绩：2.93分，人数：147人\n", + "40~44岁平均成绩：2.83分，人数：166人\n", + "45~49岁平均成绩：2.89分，人数：417人\n", + "50~54岁平均成绩：2.88分，人数：284人\n", + "55~80岁平均成绩：0.0分，人数：0人\n" + ] + } + ], + "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 = 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": "e9c6bd2e-b6ac-4a6f-ba28-aafcabb40c0d", + "metadata": {}, + "source": [ + "## 计算平均成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "7155f2c2-0719-4558-aa3b-629fb70194d6", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T03:51:48.682998Z", + "iopub.status.busy": "2023-10-25T03:51:48.682686Z", + "iopub.status.idle": "2023-10-25T03:51:48.834661Z", + "shell.execute_reply": "2023-10-25T03:51:48.834139Z", + "shell.execute_reply.started": "2023-10-25T03:51:48.682964Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "平均成绩：2.4704分，男性：3788人\n", + "平均成绩：2.8269分，女性：1595人\n", + "平均成绩：2.576分，总体：5383人\n" + ] + } + ], + "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/5383,4)}分，总体：5383人')" + ] + }, + { + "cell_type": "markdown", + "id": "9a544eec-ec58-47dc-aa36-d890b0b309c2", + "metadata": {}, + "source": [ + "## 计算测试等级" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "a0bbb339-ee4e-4dc1-83ec-b2055e3c670e", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-25T03:52:43.358905Z", + "iopub.status.busy": "2023-10-25T03:52:43.358608Z", + "iopub.status.idle": "2023-10-25T03:52:43.644315Z", + "shell.execute_reply": "2023-10-25T03:52:43.643658Z", + "shell.execute_reply.started": "2023-10-25T03:52:43.358879Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0~255分人数：2524人,男性：2056人,女性:468人\n", + "256~332分人数：2214人,男性：1400人,女性:814人\n", + "333~367分人数：495人,男性：274人,女性:221人\n", + "368~500分人数：150人,男性：58人,女性:92人\n", + "ok\n" + ] + } + ], + "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": "92103efb-a3e4-43ec-acfb-e4cb0b07c2fb", + "metadata": {}, + "source": [ + "## 计算各年龄段测试等级(女）" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "8157084e-67a1-48d9-a3c2-34ea8b170039", + "id": "f8949993-7501-4359-aa7c-2cd5de348056", "metadata": {}, "outputs": [], "source": []