From adfaa3c638af6134275bb8eeff65232d8906d071 Mon Sep 17 00:00:00 2001 From: 512song Date: Sun, 16 Feb 2025 23:39:56 +0800 Subject: [PATCH] 20250216 --- 体测单位/延庆.ipynb | 476 ++++++++++++++++++++++++++++++++++++++++++++ 体测单位/新疆.ipynb | 139 +++++++++---- 2 files changed, 581 insertions(+), 34 deletions(-) create mode 100644 体测单位/延庆.ipynb diff --git a/体测单位/延庆.ipynb b/体测单位/延庆.ipynb new file mode 100644 index 0000000..3139ec1 --- /dev/null +++ b/体测单位/延庆.ipynb @@ -0,0 +1,476 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "eaf32c48-d935-4780-9272-8f5ddddf80e5", + "metadata": {}, + "source": [ + "## 体测人员导入" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3d5ddc7a-a331-438d-aa8d-1ad74c7250d0", + "metadata": { + "execution": { + "iopub.execute_input": "2025-02-16T15:21:01.891534Z", + "iopub.status.busy": "2025-02-16T15:21:01.890870Z", + "iopub.status.idle": "2025-02-16T15:21:01.912369Z", + "shell.execute_reply": "2025-02-16T15:21:01.911830Z", + "shell.execute_reply.started": "2025-02-16T15:21:01.891472Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "from datetime import date\n", + "\n", + "wb = openpyxl.load_workbook('data/延庆测试名单.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " code = 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, 4).value\n", + " dict1['birth'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0] \n", + " dict1['phone'] = sheet.cell(n, 5).value\n", + " person[code] = dict1\n", + "filename = 'data/延庆人员.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "faf346a5-3b0e-414e-ab64-dbde3b8c3dbd", + "metadata": {}, + "source": [ + "## 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "72ec680f-ec0d-44f9-919c-17c8e614b885", + "metadata": { + "execution": { + "iopub.execute_input": "2025-02-16T15:25:46.643327Z", + "iopub.status.busy": "2025-02-16T15:25:46.642655Z", + "iopub.status.idle": "2025-02-16T15:25:46.658469Z", + "shell.execute_reply": "2025-02-16T15:25:46.657469Z", + "shell.execute_reply.started": "2025-02-16T15:25:46.643266Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "28\n" + ] + } + ], + "source": [ + "import json\n", + "import datetime\n", + "import csv\n", + "from datetime import date\n", + "\n", + "\n", + "re_ta = {}\n", + "list1 = []\n", + "filename = 'data/延庆人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/marks_20250216.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", + "\n", + "for result in list1:\n", + " user = str(result[2])\n", + " rq = date.fromisoformat(result[5].replace('/','-'))\n", + " if user in dict1.keys():\n", + " l_xm = []\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", + " if 'phone' in dict1[user].keys():\n", + " re_ta[user]['phone'] = dict1[user]['phone']\n", + " if dict1[user]['sex'] == '男':\n", + " l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + " else:\n", + " l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n", + " #re_ta[user]['unit'] = dict1[user]['unit']\n", + " birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n", + " item_name = result[3] \n", + " if item_name in l_xm: \n", + " days = (rq-birth).days \n", + " re_ta[user]['age'] = int(days/365)\n", + " re_ta[user]['month'] = int(days/365*12)\n", + " re_ta[user]['rq'] = result[5]\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = result[4] \n", + " re_ta[user][item_name]['成绩'] = score\n", + "\n", + "filename = 'data/result_延庆人员.json'\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": "a68d4f7f-d23a-4649-99eb-ce13b6027414", + "metadata": {}, + "source": [ + "## 生成测试得分" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "8f459ed3-fc14-404f-998b-5ed2a15958c3", + "metadata": { + "execution": { + "iopub.execute_input": "2025-02-16T15:26:06.721842Z", + "iopub.status.busy": "2025-02-16T15:26:06.721214Z", + "iopub.status.idle": "2025-02-16T15:26:06.738331Z", + "shell.execute_reply": "2025-02-16T15:26:06.737149Z", + "shell.execute_reply.started": "2025-02-16T15:26:06.721782Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok!\n" + ] + } + ], + "source": [ + "import json\n", + "import time\n", + "import my_module as My\n", + "\n", + "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", + "filename = 'data/result_延庆人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl) \n", + "for k, v in dict2.items():\n", + " #print(k)\n", + " if v['sex'] == '男':\n", + " sex = 'M'\n", + " else:\n", + " sex = 'F' \n", + " if 'bmi' in v.keys():\n", + " #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n", + " bmi_data = v['bmi']['成绩']\n", + " data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n", + " dict2[k]['bmi'] = {}\n", + " dict2[k]['bmi']['成绩'] = bmi_data\n", + " dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n", + " for item_en in list_item:\n", + " if item_en in v.keys(): \n", + " data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n", + " #print(k,v['name'])\n", + " dict2[k][item_en]['score'] = My.cal_score(data1)\n", + " #print(k,v[item_en]['成绩'],cal_score(data1))\n", + "\n", + "filename = f'data/result_延庆人员.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "markdown", + "id": "f86b0f59-c1f6-4523-aefd-854f04305ec9", + "metadata": {}, + "source": [ + "## 生成报告" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "9e843585-fef3-4f5c-baae-76e711f2a42f", + "metadata": { + "execution": { + "iopub.execute_input": "2025-02-16T15:29:54.316042Z", + "iopub.status.busy": "2025-02-16T15:29:54.315217Z", + "iopub.status.idle": "2025-02-16T15:30:07.279126Z", + "shell.execute_reply": "2025-02-16T15:30:07.278134Z", + "shell.execute_reply.started": "2025-02-16T15:29:54.315964Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "28\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "import openpyxl\n", + "\n", + "\n", + "headers = {\n", + " \"Content-Type\": \"application/json; charset=UTF-8\"\n", + " }\n", + "filename = 'data/result_延庆人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "file_path ='./延庆/'\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", + "i=0\n", + "list2 = []\n", + "for k, v in dict1.items():\n", + " list1 = []\n", + " mydata = {}\n", + " \n", + " id = str(k).rjust(5,\"0\")\n", + " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", + " mydata['title'] = '延庆'\n", + " mydata['subtitle'] = ''#v['unit']\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", + " \n", + " mydata['month'] = v['month']\n", + " mydata['fits'] = {}\n", + " survey_list = ['tcm','psy','spine']\n", + " for item in survey_list:\n", + " if item in v.keys():\n", + " mydata.setdefault('surveys',{})\n", + " mydata['surveys'][item] = v[item]\n", + " \n", + " \n", + " #mydata['fits'] = {}\n", + " for item in list_item:\n", + " if item in v.keys():\n", + " mydata.setdefault('fits',{})\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'][item] = {'mark':mark,'score':v[item]['score']}\n", + " #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", + " if len(mydata['fits']) >2 : \n", + " list1.append(mydata)\n", + " list2.append([k,v['name']])\n", + " i+=1\n", + " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", + " #print(id,v['name'],x.text)\n", + " #print(mydata)\n", + " #x.close()\n", + "print(i)" + ] + }, + { + "cell_type": "markdown", + "id": "582e988f-3226-4209-a348-60be2a7750a1", + "metadata": {}, + "source": [ + "## 导出测试人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "93feeeb4-85ea-48e9-9358-0efa00725ede", + "metadata": { + "execution": { + "iopub.execute_input": "2025-02-16T15:26:48.864416Z", + "iopub.status.busy": "2025-02-16T15:26:48.863673Z", + "iopub.status.idle": "2025-02-16T15:26:48.890284Z", + "shell.execute_reply": "2025-02-16T15:26:48.889595Z", + "shell.execute_reply.started": "2025-02-16T15:26:48.864343Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n", + "title = ['编号','姓名','性别','单位','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_延庆人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/延庆人员.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('延庆')\n", + " if 'bmi' in v.keys():\n", + " height = v['bmi']['成绩'].split(',')[0]\n", + " weight = v['bmi']['成绩'].split(',')[1]\n", + " list2.append(height)\n", + " list2.append(weight)\n", + " else:\n", + " list2.append('')\n", + " list2.append('')\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", + " \n", + " list1.append(list2)\n", + "filename = 'data/延庆体测情况表250216.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f44c57ed-aac8-481a-9126-0dadcbe0190c", + "metadata": { + "execution": { + "iopub.execute_input": "2025-02-16T15:36:05.627841Z", + "iopub.status.busy": "2025-02-16T15:36:05.627122Z", + "iopub.status.idle": "2025-02-16T15:36:05.655606Z", + "shell.execute_reply": "2025-02-16T15:36:05.655044Z", + "shell.execute_reply.started": "2025-02-16T15:36:05.627774Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n", + "bmi = ['height','weight']\n", + "title = ['编号','姓名','性别','身高','体重','bmi','肺活量','得分','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_延庆人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\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", + " i = 0\n", + " if 'bmi' in dict1[k].keys():\n", + " list2.append(dict1[k]['bmi']['成绩'].split(',')[0])\n", + " list2.append(dict1[k]['bmi']['成绩'].split(',')[1])\n", + " list2.append(dict1[k]['bmi']['score'])\n", + " i+=1\n", + " else:\n", + " list2.append('') \n", + " list2.append('') \n", + " list2.append('') \n", + " \n", + " \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]['score']) \n", + " i+=1\n", + " elif item =='name':\n", + " list2.append(dict1[k][item])\n", + " else:\n", + " list2.append('') \n", + " list2.append('') \n", + " if i>2:\n", + " list1.append(list2)\n", + "filename = 'data/延庆体测情况表250216.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": "code", + "execution_count": null, + "id": "4caa7845-9391-4c32-8b34-932d0d5e395b", + "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": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/体测单位/新疆.ipynb b/体测单位/新疆.ipynb index 43f5fb4..7b7254b 100644 --- a/体测单位/新疆.ipynb +++ b/体测单位/新疆.ipynb @@ -10,15 +10,15 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 58, "id": "3d5ddc7a-a331-438d-aa8d-1ad74c7250d0", "metadata": { "execution": { - "iopub.execute_input": "2024-12-24T04:10:44.463102Z", - "iopub.status.busy": "2024-12-24T04:10:44.462345Z", - "iopub.status.idle": "2024-12-24T04:10:44.481670Z", - "shell.execute_reply": "2024-12-24T04:10:44.480911Z", - "shell.execute_reply.started": "2024-12-24T04:10:44.463032Z" + "iopub.execute_input": "2024-12-30T03:53:32.228359Z", + "iopub.status.busy": "2024-12-30T03:53:32.227594Z", + "iopub.status.idle": "2024-12-30T03:53:32.259237Z", + "shell.execute_reply": "2024-12-30T03:53:32.258469Z", + "shell.execute_reply.started": "2024-12-30T03:53:32.228287Z" } }, "outputs": [ @@ -57,15 +57,15 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 57, "id": "7b218973-965d-4324-9553-d8e7ddfda4cd", "metadata": { "execution": { - "iopub.execute_input": "2024-12-24T14:48:29.843853Z", - "iopub.status.busy": "2024-12-24T14:48:29.843106Z", - "iopub.status.idle": "2024-12-24T14:48:29.865282Z", - "shell.execute_reply": "2024-12-24T14:48:29.864798Z", - "shell.execute_reply.started": "2024-12-24T14:48:29.843783Z" + "iopub.execute_input": "2024-12-30T03:53:26.067733Z", + "iopub.status.busy": "2024-12-30T03:53:26.067165Z", + "iopub.status.idle": "2024-12-30T03:53:26.096201Z", + "shell.execute_reply": "2024-12-30T03:53:26.095650Z", + "shell.execute_reply.started": "2024-12-30T03:53:26.067679Z" } }, "outputs": [ @@ -164,15 +164,15 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 59, "id": "72ec680f-ec0d-44f9-919c-17c8e614b885", "metadata": { "execution": { - "iopub.execute_input": "2024-12-24T04:10:51.916961Z", - "iopub.status.busy": "2024-12-24T04:10:51.916210Z", - "iopub.status.idle": "2024-12-24T04:10:51.929768Z", - "shell.execute_reply": "2024-12-24T04:10:51.928679Z", - "shell.execute_reply.started": "2024-12-24T04:10:51.916890Z" + "iopub.execute_input": "2024-12-30T03:53:44.735069Z", + "iopub.status.busy": "2024-12-30T03:53:44.734455Z", + "iopub.status.idle": "2024-12-30T03:53:44.750814Z", + "shell.execute_reply": "2024-12-30T03:53:44.749894Z", + "shell.execute_reply.started": "2024-12-30T03:53:44.735012Z" } }, "outputs": [ @@ -180,7 +180,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "1\n" + "2\n" ] } ], @@ -197,7 +197,7 @@ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", - "filename = 'data/marks_20241224.csv'\n", + "filename = 'data/marks_20241230.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", @@ -248,15 +248,15 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 60, "id": "8f459ed3-fc14-404f-998b-5ed2a15958c3", "metadata": { "execution": { - "iopub.execute_input": "2024-12-24T04:10:56.430593Z", - "iopub.status.busy": "2024-12-24T04:10:56.429864Z", - "iopub.status.idle": "2024-12-24T04:10:56.441856Z", - "shell.execute_reply": "2024-12-24T04:10:56.440815Z", - "shell.execute_reply.started": "2024-12-24T04:10:56.430526Z" + "iopub.execute_input": "2024-12-30T03:53:47.996998Z", + "iopub.status.busy": "2024-12-30T03:53:47.996390Z", + "iopub.status.idle": "2024-12-30T03:53:48.008881Z", + "shell.execute_reply": "2024-12-30T03:53:48.007779Z", + "shell.execute_reply.started": "2024-12-30T03:53:47.996943Z" } }, "outputs": [ @@ -314,15 +314,15 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 61, "id": "9e843585-fef3-4f5c-baae-76e711f2a42f", "metadata": { "execution": { - "iopub.execute_input": "2024-12-24T04:10:59.919975Z", - "iopub.status.busy": "2024-12-24T04:10:59.919307Z", - "iopub.status.idle": "2024-12-24T04:11:00.529956Z", - "shell.execute_reply": "2024-12-24T04:11:00.528814Z", - "shell.execute_reply.started": "2024-12-24T04:10:59.919919Z" + "iopub.execute_input": "2024-12-30T03:53:52.564652Z", + "iopub.status.busy": "2024-12-30T03:53:52.563867Z", + "iopub.status.idle": "2024-12-30T03:53:53.803154Z", + "shell.execute_reply": "2024-12-30T03:53:53.801991Z", + "shell.execute_reply.started": "2024-12-30T03:53:52.564567Z" } }, "outputs": [ @@ -330,7 +330,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "1\n" + "2\n" ] } ], @@ -396,10 +396,81 @@ "print(i)" ] }, + { + "cell_type": "markdown", + "id": "582e988f-3226-4209-a348-60be2a7750a1", + "metadata": {}, + "source": [ + "## 导出测试人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "93feeeb4-85ea-48e9-9358-0efa00725ede", + "metadata": { + "execution": { + "iopub.execute_input": "2024-12-25T09:41:41.941523Z", + "iopub.status.busy": "2024-12-25T09:41:41.940791Z", + "iopub.status.idle": "2024-12-25T09:41:41.965245Z", + "shell.execute_reply": "2024-12-25T09:41:41.964792Z", + "shell.execute_reply.started": "2024-12-25T09:41:41.941453Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n", + "title = ['编号','姓名','性别','单位','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_新疆人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/新疆人员.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('新疆')\n", + " if 'bmi' in v.keys():\n", + " height = v['bmi']['成绩'].split(',')[0]\n", + " weight = v['bmi']['成绩'].split(',')[1]\n", + " list2.append(height)\n", + " list2.append(weight)\n", + " else:\n", + " list2.append('')\n", + " list2.append('')\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", + " \n", + " list1.append(list2)\n", + "filename = 'data/新疆体测情况表241225.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "13722e88-9f6a-421e-8fb3-2fccd0741452", + "id": "f44c57ed-aac8-481a-9126-0dadcbe0190c", "metadata": {}, "outputs": [], "source": []