From 8e449c63b3b485341d334fba3ab7967fedc9f79c Mon Sep 17 00:00:00 2001 From: 512song Date: Wed, 12 Jul 2023 16:54:09 +0800 Subject: [PATCH] 20230712 --- .../体测数据管理-checkpoint.ipynb | 166 ++++ 体测单位/燕山石化.ipynb | 78 +- 体测单位/西藏.ipynb | 872 +++++++++++++++++- 体测单位/长炼医院.ipynb | 18 +- 4 files changed, 1113 insertions(+), 21 deletions(-) create mode 100644 体测单位/.ipynb_checkpoints/体测数据管理-checkpoint.ipynb diff --git a/体测单位/.ipynb_checkpoints/体测数据管理-checkpoint.ipynb b/体测单位/.ipynb_checkpoints/体测数据管理-checkpoint.ipynb new file mode 100644 index 0000000..538dc1b --- /dev/null +++ b/体测单位/.ipynb_checkpoints/体测数据管理-checkpoint.ipynb @@ -0,0 +1,166 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "dcfbd41f-ca70-4f15-9153-60e6aaac27e8", + "metadata": {}, + "source": [ + "## 生成手机验证码" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b68302b4-8fc1-4060-a10d-7f059f006f3c", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-11T11:45:00.310196Z", + "iopub.status.busy": "2023-07-11T11:45:00.309336Z", + "iopub.status.idle": "2023-07-11T11:45:00.344527Z", + "shell.execute_reply": "2023-07-11T11:45:00.343903Z", + "shell.execute_reply.started": "2023-07-11T11:45:00.310155Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "54\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import os,sys,shutil\n", + "import json\n", + "import math\n", + "import glob\n", + "import random\n", + "from pathlib import Path\n", + "import pymongo\n", + "\n", + "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", + "mydb = myclient[\"baogao\"]\n", + "\n", + "wb = openpyxl.load_workbook('data/北京石油分公司报告明细.xlsx')\n", + "place_id = 419309\n", + "dw_name = '北京石油分公司'\n", + "fi_path = 'file/2023-06-15'\n", + "fls = glob.glob(f'{fi_path}/*.pdf')\n", + "\n", + "code_list = []\n", + "for i in range(10): # 0~9\n", + " code_list.append(str(i))\n", + " \n", + "list1 = []\n", + "i = 0\n", + "while i < len(fls):\n", + " code = random.sample(code_list,6) #随机取6位数\n", + " code_num = ''.join(code)\n", + " if code_num not in list1:\n", + " list1.append(code_num)\n", + " i +=1\n", + "print(len(list1))\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "list2 = []\n", + "i = 0\n", + "for n in range(2, sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " dict1 = {}\n", + " phone = str(sheet.cell(n, 3).value)\n", + " code = int(sheet.cell(n, 1).value)\n", + " yzm = list1[i]\n", + " i+=1\n", + " dict1 = {'place_id':place_id,'code':yzm,'fn':str(code)+'.pdf'}\n", + " list2.append(dict1)\n", + "mycol = mydb[\"pdf\"]\n", + "x = mycol.insert_many(list2)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a0a7cb45-4357-47a1-9094-e1500d072561", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-11T10:33:27.193601Z", + "iopub.status.busy": "2023-07-11T10:33:27.192748Z", + "iopub.status.idle": "2023-07-11T10:33:27.223006Z", + "shell.execute_reply": "2023-07-11T10:33:27.221929Z", + "shell.execute_reply.started": "2023-07-11T10:33:27.193559Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "54\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import os,sys,shutil\n", + "import json\n", + "import math\n", + "import glob\n", + "import random\n", + "from pathlib import Path\n", + "\n", + "wb = openpyxl.load_workbook('data/北京石油分公司报告明细.xlsx')\n", + "place_id = 1\n", + "dw_name = '北京石油分公司'\n", + "fi_path = 'file/2023-06-15'\n", + "fls = glob.glob(f'{fi_path}/*.pdf')\n", + "\n", + "code_list = []\n", + "for i in range(10): # 0~9\n", + " code_list.append(str(i))\n", + " \n", + "list1 = []\n", + "i = 0\n", + "while i < len(fls):\n", + " code = random.sample(code_list,6) #随机取6位数\n", + " code_num = ''.join(code)\n", + " if code_num not in list1:\n", + " list1.append(code_num)\n", + " i +=1\n", + "print(len(list1))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3311070-2b8d-4442-b7da-025e48ee7bd3", + "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 +} diff --git a/体测单位/燕山石化.ipynb b/体测单位/燕山石化.ipynb index 1f8e174..7c396cc 100644 --- a/体测单位/燕山石化.ipynb +++ b/体测单位/燕山石化.ipynb @@ -237,9 +237,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 236, "id": "79c9c728-12e9-4107-bc5a-8c3e3d8b64a6", "metadata": { + "execution": { + "iopub.execute_input": "2023-07-10T02:50:01.428216Z", + "iopub.status.busy": "2023-07-10T02:50:01.427358Z", + "iopub.status.idle": "2023-07-10T02:50:04.539871Z", + "shell.execute_reply": "2023-07-10T02:50:04.539123Z", + "shell.execute_reply.started": "2023-07-10T02:50:01.428175Z" + }, "tags": [] }, "outputs": [], @@ -285,6 +292,75 @@ "wb.save(filename)" ] }, + { + "cell_type": "markdown", + "id": "db76f131-4094-46ca-9b27-7c6648875dc2", + "metadata": {}, + "source": [ + "## 总成绩导出（带得分）" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "id": "ca44ae23-f756-4622-9cb0-553b1e119cc3", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-10T02:58:50.440553Z", + "iopub.status.busy": "2023-07-10T02:58:50.439776Z", + "iopub.status.idle": "2023-07-10T02:58:53.380936Z", + "shell.execute_reply": "2023-07-10T02:58:53.379903Z", + "shell.execute_reply.started": "2023-07-10T02:58:50.440520Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "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_燕山石化.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "for k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\n", + " list2 = []\n", + " list2.append(str(k).rjust(5,'0'))\n", + " list2.append(dict1[k]['name']) \n", + " list2.append(dict1[k]['sex'])\n", + " list2.append(dict1[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", + " list1.append(list2)\n", + "filename = 'data/燕山石化体测情况表.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)\n", + "print('ok') " + ] + }, { "cell_type": "markdown", "id": "6d431fc1-b743-467c-91b3-9788e245becb", diff --git a/体测单位/西藏.ipynb b/体测单位/西藏.ipynb index c13d055..2dd57d6 100644 --- a/体测单位/西藏.ipynb +++ b/体测单位/西藏.ipynb @@ -10,41 +10,56 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 94, "id": "07f7e97e-670e-4301-b83d-1304514f15d5", "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:45:10.229928Z", + "iopub.status.busy": "2023-07-05T02:45:10.229085Z", + "iopub.status.idle": "2023-07-05T02:45:10.320665Z", + "shell.execute_reply": "2023-07-05T02:45:10.319936Z", + "shell.execute_reply.started": "2023-07-05T02:45:10.229888Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", - "wb = openpyxl.load_workbook('data/健康体质检测人员名单(西藏销售).xlsx')\n", + "wb = openpyxl.load_workbook('data/xizang.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", + " code = int(sheet.cell(n, 5).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", - " dict1['name'] = sheet.cell(n, 2).value\n", - " if sheet.cell(n, 3).value ==1:\n", + " dict1['name'] = sheet.cell(n, 1).value\n", + " if sheet.cell(n, 2).value ==0:\n", " sex = '男'\n", " else:\n", " sex = '女'\n", " dict1['sex'] = sex\n", - " birth = str(sheet.cell(n, 4).value).split()[0]\n", + " birth = str(sheet.cell(n, 3).value).split()[0]\n", " dict1['birth'] = birth\n", - " dict1['unit'] = sheet.cell(n, 6).value\n", + " \n", " if sheet.cell(n,5).value is not None:\n", - " dict1['phone'] = str(sheet.cell(n, 5).value) \n", + " dict1['phone'] = str(sheet.cell(n, 4).value) \n", " person[code] = dict1\n", "\n", - "filename = 'data/西藏销售人员名单.json'\n", + "filename = 'data/西藏人员.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" @@ -284,10 +299,845 @@ " print(s)" ] }, + { + "cell_type": "markdown", + "id": "3d7ab69c-941d-4f73-8708-2aab850ae2e1", + "metadata": {}, + "source": [ + "## 导入体测信息" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "e19a4c58-df1e-4136-bf10-33e9ed885e50", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-04T13:02:15.967924Z", + "iopub.status.busy": "2023-07-04T13:02:15.967138Z", + "iopub.status.idle": "2023-07-04T13:02:16.005279Z", + "shell.execute_reply": "2023-07-04T13:02:16.004236Z", + "shell.execute_reply.started": "2023-07-04T13:02:15.967883Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "165\n", + "165\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/西藏人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/places_result_20230704.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", + " 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_xizang.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": "52597677-83a0-447e-95b2-7e8c4296bec7", + "metadata": {}, + "source": [ + "## 报告更名" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "ab602820-2ec4-4e9d-a40e-3e6cf6004374", + "id": "a84f2536-9e03-442f-8931-53c9fdc57395", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import os,sys,shutil\n", + "import json\n", + "import math\n", + "import glob\n", + "from pathlib import Path\n", + "\n", + "fi_path = 'file/2023-06-06'\n", + "old = []\n", + "dict2 = {}\n", + "\n", + "filename = 'data/result_xizang.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "for k, v in dict1.items():\n", + " m_name = v['name']\n", + " dict2[int(k)] = [m_name]\n", + "\n", + "fls = glob.glob(f'{fi_path}/*.pdf')\n", + "\n", + "for fn in fls:\n", + " old.append(os.path.basename(fn).split('.')[0])\n", + "\n", + "for n in old: \n", + " o_name = f'{fi_path}/{n}.pdf'\n", + " new_path = Path(fi_path,'new')\n", + " new_path.mkdir(parents = True, exist_ok = True)\n", + " n_name = Path(new_path,f'{str(n).rjust(5,\"0\")}-{dict2[int(n)][0]}.pdf')\n", + " if not os.path.exists(n_name):\n", + " shutil.copyfile(o_name,n_name)\n", + " print(n_name)\n", + " \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "682c45e3-2e07-4fb0-844c-c837b1a2602c", + "metadata": {}, + "source": [ + "## 数据分析" + ] + }, + { + "cell_type": "markdown", + "id": "8c8faef4-c0d1-441e-ab64-3b8223afa3bd", + "metadata": {}, + "source": [ + "### 获取清理后数据" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "3696d7e1-afb8-4f9d-ba29-9aaa977b52de", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:45:28.348666Z", + "iopub.status.busy": "2023-07-05T02:45:28.348242Z", + "iopub.status.idle": "2023-07-05T02:45:28.389486Z", + "shell.execute_reply": "2023-07-05T02:45:28.388452Z", + "shell.execute_reply.started": "2023-07-05T02:45:28.348638Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "165\n", + "[]\n", + "165\n", + "ok\n", + "165\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/西藏人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "re_ta = {}\n", + "list1 = []\n", + "#print(\"\\n运动项目信息：\")\n", + "filename = 'data/places_result_20230704.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", + " \n", + " re_ta[user]['sex'] = dict1[user]['sex']\n", + " re_ta[user]['birth'] = dict1[user]['birth'].replace('-','/')\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", + "\n", + "print(len(re_ta))\n", + "liwai = []\n", + "for k, v in re_ta.items():\n", + " if (len(v)<8 and '身高' in v and '体重' in v) or (len(v)<7 and '身高' not in v and '体重' not in v) :\n", + " liwai.append(k)\n", + "print(liwai)\n", + "for k in liwai:\n", + " del re_ta[k]\n", + "print(len(re_ta))\n", + "filename = 'data/result_xizang.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl) \n", + "print('ok')\n", + "print(len(re_ta))" + ] + }, + { + "cell_type": "markdown", + "id": "e9408f20-15cc-4827-bc34-f340f2e8b70f", + "metadata": {}, + "source": [ + "### 计算人员年龄" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "b71c8bf6-2530-425f-9516-8757b40e3dc5", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:45:31.683237Z", + "iopub.status.busy": "2023-07-05T02:45:31.682418Z", + "iopub.status.idle": "2023-07-05T02:45:31.710877Z", + "shell.execute_reply": "2023-07-05T02:45:31.709811Z", + "shell.execute_reply.started": "2023-07-05T02:45:31.683198Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "import datetime\n", + "\n", + "filename = 'data/result_xizang.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "for k, v in dict1.items(): \n", + " birth = v['birth'].split()[0].split('/') \n", + " nian = int(birth[0].strip())\n", + " yue = int(birth[1].strip())\n", + " ri = int(birth[2].strip())\n", + " #print(k,nian,yue,ri)\n", + " days = (datetime.date(2023, 6, 10)-datetime.date(nian,yue,ri)).days\n", + " v['age'] = int(days/365)\n", + "filename = 'data/result_xizang.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl) \n", + "print('ok') " + ] + }, + { + "cell_type": "markdown", + "id": "36461621-bd49-4eac-b055-9c421604d5fe", + "metadata": {}, + "source": [ + "### 汇总人员信息及成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "0e75cfbb-2b63-4163-831c-933fff1481c2", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:45:50.311946Z", + "iopub.status.busy": "2023-07-05T02:45:50.311092Z", + "iopub.status.idle": "2023-07-05T02:45:50.340231Z", + "shell.execute_reply": "2023-07-05T02:45:50.339150Z", + "shell.execute_reply.started": "2023-07-05T02:45:50.311906Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "\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", + "\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for k,v in dict1.items():\n", + " score = 0\n", + " i = 0 \n", + " for k1,v1 in v.items(): \n", + " if k1 in items:\n", + " score = score + int(v1['得分'])\n", + " i+=1\n", + " dict1[k]['score'] = round(score/i,2) \n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "eb2b6efa-206a-4afe-8380-86970162b519", + "metadata": {}, + "source": [ + "### 计算测试等级" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "99f02e37-3a03-4d7d-a2b9-7bf5563c253c", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:45:52.771879Z", + "iopub.status.busy": "2023-07-05T02:45:52.771043Z", + "iopub.status.idle": "2023-07-05T02:45:52.802079Z", + "shell.execute_reply": "2023-07-05T02:45:52.801054Z", + "shell.execute_reply.started": "2023-07-05T02:45:52.771839Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0~255分人数：115人,男性：67人,女性:48人\n", + "256~332分人数：42人,男性：27人,女性:15人\n", + "333~367分人数：8人,男性：4人,女性:4人\n", + "368~500分人数：0人,男性：0人,女性:0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", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "386c1365-81e1-40a5-bcb1-c63b5ab7b52f", + "metadata": {}, + "source": [ + "### 根据年龄汇总人员信息及成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "1435c8af-094d-44b3-a024-af3615c07c21", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:45:57.071802Z", + "iopub.status.busy": "2023-07-05T02:45:57.070977Z", + "iopub.status.idle": "2023-07-05T02:45:57.086551Z", + "shell.execute_reply": "2023-07-05T02:45:57.085522Z", + "shell.execute_reply.started": "2023-07-05T02:45:57.071762Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.43分，人数：9人,男性：7人\n", + "25~29岁平均成绩：2.14分，人数：49人,男性：27人\n", + "30~34岁平均成绩：2.26分，人数：38人,男性：22人\n", + "35~39岁平均成绩：2.39分，人数：27人,男性：12人\n", + "40~44岁平均成绩：2.37分，人数：26人,男性：15人\n", + "45~49岁平均成绩：2.52分，人数：10人,男性：9人\n", + "50~54岁平均成绩：2.48分，人数：5人,男性：5人\n", + "55~69岁平均成绩：2.67分，人数：1人,男性：1人\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "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", + " \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": "0119fb2f-417d-4753-b3da-fac2be8546e3", + "metadata": {}, + "source": [ + "#### 根据年龄汇总人员信息及成绩（男）" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "650cf1eb-8681-4911-9b04-80468fe6bf64", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:47:11.272824Z", + "iopub.status.busy": "2023-07-05T02:47:11.271965Z", + "iopub.status.idle": "2023-07-05T02:47:11.287782Z", + "shell.execute_reply": "2023-07-05T02:47:11.286539Z", + "shell.execute_reply.started": "2023-07-05T02:47:11.272783Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.45分，人数：7人\n", + "25~29岁平均成绩：2.0分，人数：27人\n", + "30~34岁平均成绩：2.39分，人数：22人\n", + "35~39岁平均成绩：2.36分，人数：12人\n", + "40~44岁平均成绩：2.53分，人数：15人\n", + "45~49岁平均成绩：2.54分，人数：9人\n", + "50~54岁平均成绩：2.48分，人数：5人\n", + "55~80岁平均成绩：2.67分，人数：1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 = 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：{round(score/i,2)}分，人数：{i}人')\n", + " else:\n", + " print(f'{di}~{gao}岁平均成绩：0分，人数：0人') " + ] + }, + { + "cell_type": "markdown", + "id": "9a7d06f0-32e4-4148-93f8-a81abfcd81a6", + "metadata": {}, + "source": [ + "#### 根据年龄汇总人员信息及成绩（女）" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "9ccb9b3c-de57-49f4-a4c6-10a24737e857", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-04T13:08:22.477549Z", + "iopub.status.busy": "2023-07-04T13:08:22.476783Z", + "iopub.status.idle": "2023-07-04T13:08:22.492628Z", + "shell.execute_reply": "2023-07-04T13:08:22.491401Z", + "shell.execute_reply.started": "2023-07-04T13:08:22.477510Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.33分，人数：2人\n", + "25~29岁平均成绩：2.32分，人数：22人\n", + "30~34岁平均成绩：2.07分，人数：16人\n", + "35~39岁平均成绩：2.41分，人数：15人\n", + "40~44岁平均成绩：2.15分，人数：11人\n", + "45~49岁平均成绩：2.33分，人数：1人\n", + "50~54岁平均成绩：0分，人数：0人\n", + "55~80岁平均成绩：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", + "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：{round(score/i,2)}分，人数：{i}人')\n", + " else:\n", + " print(f'{di}~{gao}岁平均成绩：0分，人数：0人') " + ] + }, + { + "cell_type": "markdown", + "id": "90f534af-f370-4184-922a-a4a0444f59c3", + "metadata": {}, + "source": [ + "### 计算平均成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "c8cd897e-0d41-4faa-860f-395d42208674", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T03:18:05.849161Z", + "iopub.status.busy": "2023-07-05T03:18:05.848313Z", + "iopub.status.idle": "2023-07-05T03:18:05.864430Z", + "shell.execute_reply": "2023-07-05T03:18:05.863382Z", + "shell.execute_reply.started": "2023-07-05T03:18:05.849120Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "平均成绩：2.3266分，男性：98人\n", + "平均成绩：2.2533分，女性：67人\n", + "平均成绩：2.2968分，总体：165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/165,4)}分，总体：165人')" + ] + }, + { + "cell_type": "markdown", + "id": "c09369b2-0a21-4a61-b3c8-681906f74250", + "metadata": {}, + "source": [ + "### 计算各年龄段测试等级(女）" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "28b418f2-2324-450f-9684-4df15e012694", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:43:38.489757Z", + "iopub.status.busy": "2023-07-05T02:43:38.488929Z", + "iopub.status.idle": "2023-07-05T02:43:38.506679Z", + "shell.execute_reply": "2023-07-05T02:43:38.505448Z", + "shell.execute_reply.started": "2023-07-05T02:43:38.489716Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20-24 {'合格': 1, '不合格': 1}\n", + "25-29 {'良好': 2, '不合格': 15, '合格': 5}\n", + "30-34 {'合格': 3, '不合格': 12, '良好': 1}\n", + "35-39 {'合格': 4, '良好': 1, '不合格': 10}\n", + "40-44 {'不合格': 9, '良好': 0, '合格': 2}\n", + "45-49 {'不合格': 1, '合格': 0, '良好': 0}\n", + "50-54 {'合格': 0, '良好': 0, '不合格': 0}\n", + "55-80 {'合格': 0}\n" + ] + } + ], + "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": "40a7d9fb-cb74-4747-b6fe-9f8bc235d620", + "metadata": {}, + "source": [ + "### 计算各年龄段测试等级(男）" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "a80224fb-1726-4370-9d3d-6e0a27afa8b2", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:47:19.469192Z", + "iopub.status.busy": "2023-07-05T02:47:19.468357Z", + "iopub.status.idle": "2023-07-05T02:47:19.486494Z", + "shell.execute_reply": "2023-07-05T02:47:19.485227Z", + "shell.execute_reply.started": "2023-07-05T02:47:19.469153Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20-24 {'合格': 3, '不合格': 4}\n", + "25-29 {'良好': 0, '不合格': 24, '合格': 3}\n", + "30-34 {'合格': 7, '不合格': 15, '良好': 0}\n", + "35-39 {'合格': 5, '良好': 0, '不合格': 7}\n", + "40-44 {'不合格': 9, '良好': 1, '合格': 5}\n", + "45-49 {'不合格': 5, '合格': 2, '良好': 2}\n", + "50-54 {'合格': 1, '良好': 1, '不合格': 3}\n", + "55-80 {'合格': 1}\n" + ] + } + ], + "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": "7870236d-dc80-4c36-ab24-d880155d376b", + "metadata": {}, + "source": [ + "### 计算各项目成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "945b9bec-247b-498b-96f6-a52fabbf6c89", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-05T02:47:22.379999Z", + "iopub.status.busy": "2023-07-05T02:47:22.379167Z", + "iopub.status.idle": "2023-07-05T02:47:22.392962Z", + "shell.execute_reply": "2023-07-05T02:47:22.391756Z", + "shell.execute_reply.started": "2023-07-05T02:47:22.379959Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "体重 3.46 164\n", + "肺活量 2.22 164\n", + "握力 1.19 164\n", + "坐位体前屈 1.9 163\n", + "单脚站立 2.19 165\n", + "选择反应时 2.8 165\n" + ] + } + ], + "source": [ + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "items = ['体重','肺活量','握力','坐位体前屈','单脚站立','选择反应时']\n", + "for item in items:\n", + " score = 0\n", + " n = 0\n", + " for k, v in dict1.items():\n", + " if item in v.keys():\n", + " n = n + 1\n", + " score =score + int(v[item]['得分'])\n", + " print(item,round(score/n,2),n)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c840e9b2-ce95-40c5-9f67-438a88ae0736", "metadata": {}, "outputs": [], "source": [] diff --git a/体测单位/长炼医院.ipynb b/体测单位/长炼医院.ipynb index d9a5ce5..f7e1a3c 100644 --- a/体测单位/长炼医院.ipynb +++ b/体测单位/长炼医院.ipynb @@ -72,15 +72,15 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 28, "id": "5cea2f5e-37fc-4857-8455-090a634a1c0a", "metadata": { "execution": { - "iopub.execute_input": "2023-06-30T09:09:36.000292Z", - "iopub.status.busy": "2023-06-30T09:09:35.999448Z", - "iopub.status.idle": "2023-06-30T09:09:36.140715Z", - "shell.execute_reply": "2023-06-30T09:09:36.139986Z", - "shell.execute_reply.started": "2023-06-30T09:09:36.000249Z" + "iopub.execute_input": "2023-07-04T11:13:00.968177Z", + "iopub.status.busy": "2023-07-04T11:13:00.967304Z", + "iopub.status.idle": "2023-07-04T11:13:01.076381Z", + "shell.execute_reply": "2023-07-04T11:13:01.075631Z", + "shell.execute_reply.started": "2023-07-04T11:13:00.968133Z" }, "tags": [] }, @@ -89,9 +89,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "1704\n", + "2125\n", "ok\n", - "2125\n" + "2360\n" ] } ], @@ -100,7 +100,7 @@ "import json\n", "\n", "\n", - "wb = openpyxl.load_workbook('data/长炼医院新增监测花名册（炼油二部）.xlsx')\n", + "wb = openpyxl.load_workbook('data/长炼医院新增监测花名册（物资+消防）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "filename = 'data/长炼医院人员名单.json'\n",