From d30e4b0ca73e1b13fbeb715af84eba698cc63c39 Mon Sep 17 00:00:00 2001 From: 512song Date: Thu, 23 Mar 2023 15:11:08 +0000 Subject: [PATCH] 20230323 --- 体测单位/东营石油工程设计院.ipynb | 173 +++++++++++++ 体测单位/低碳院.ipynb | 400 +++++++++++++++++++++++++----- 2 files changed, 509 insertions(+), 64 deletions(-) create mode 100644 体测单位/东营石油工程设计院.ipynb diff --git a/体测单位/东营石油工程设计院.ipynb b/体测单位/东营石油工程设计院.ipynb new file mode 100644 index 0000000..437af9f --- /dev/null +++ b/体测单位/东营石油工程设计院.ipynb @@ -0,0 +1,173 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "28695364-38de-442e-818d-cfab45902763", + "metadata": {}, + "source": [ + "## 导入人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "2f2feca4-e0bf-4d68-af95-d3cfe5ac28bb", + "metadata": { + "execution": { + "iopub.execute_input": "2023-03-23T14:17:57.955188Z", + "iopub.status.busy": "2023-03-23T14:17:57.954638Z", + "iopub.status.idle": "2023-03-23T14:17:58.563416Z", + "shell.execute_reply": "2023-03-23T14:17:58.562686Z", + "shell.execute_reply.started": "2023-03-23T14:17:57.955160Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/student_20140922(东营工程设计院监测花名册2023年) .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, 4).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 6).value\n", + " dict1['sex'] = sheet.cell(n, 7).value\n", + " dict1['unit'] = sheet.cell(n, 3).value\n", + "\n", + "\n", + " person[code] = dict1\n", + "filename = 'data/东营工程设计院人员名单.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "76caa442-de4f-41eb-8743-b4a9d6c749d0", + "metadata": {}, + "source": [ + "## 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "579fd3c1-7fe3-49ef-8875-0d823b7d0546", + "metadata": { + "execution": { + "iopub.execute_input": "2023-03-23T14:30:43.407552Z", + "iopub.status.busy": "2023-03-23T14:30:43.406666Z", + "iopub.status.idle": "2023-03-23T14:30:43.479839Z", + "shell.execute_reply": "2023-03-23T14:30:43.478772Z", + "shell.execute_reply.started": "2023-03-23T14:30:43.407511Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "338\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\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", + "#SQL语句为：\n", + "#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n", + "filename = 'data/东营工程设计院人员名单.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl) \n", + "\n", + "list1 = []\n", + "#print(\"\\n运动项目信息：\")\n", + "filename = 'data/141.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", + "dict3 = {}\n", + "for result in list1:\n", + " user = result[2]\n", + " if user in dict2.keys():\n", + " dict3.setdefault(user,{}) \n", + " dict3[user]['name'] = dict2[user]['name']\n", + " dict3[user]['unit'] = dict2[user]['unit']\n", + "\n", + "print(len(dict3))\n", + "list1 = []\n", + "for k, v in dict3.items():\n", + " list2 = [k,v['name'],v['unit']]\n", + " list1.append(list2)\n", + "filename = 'data/东营工程设计院参加测试人员情况表.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "\n", + "for row in list1:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename) \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d3647aa-9f06-4a96-9d60-690d61b1a384", + "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/低碳院.ipynb b/体测单位/低碳院.ipynb index e37b82a..f6a619f 100644 --- a/体测单位/低碳院.ipynb +++ b/体测单位/低碳院.ipynb @@ -432,22 +432,12 @@ "cell_type": "markdown", "id": "bb3448ff-a8d3-417d-ab3a-4b54e28aaca0", "metadata": { - "jp-MarkdownHeadingCollapsed": true, - "tags": [], - "toc-hr-collapsed": true + "tags": [] }, "source": [ "## 2023年体测情况" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e7af531-758b-477b-a181-21080c83b44c", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "d7ad01ef-93c3-4735-b609-bb5d38f85a25", @@ -470,6 +460,7 @@ "import json\n", "import pymysql\n", "\n", + "\n", "fi_xls = 'data/低碳院多点账号20230217.xlsx'\n", "chongming = ['王锐','王楠','郭强','王涛','张静']\n", "dict1 = {}\n", @@ -501,8 +492,335 @@ }, { "cell_type": "markdown", - "id": "c27c6f4b-d0ed-40e8-aed9-09662edd21c6", + "id": "f1d79414-577e-4bfa-b3db-1c9ac3168f76", "metadata": {}, + "source": [ + "### 获取人员统计信息" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "916e4437-d28a-4d41-ab87-9470c6b7116d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import pymysql\n", + "import datetime\n", + "\n", + "dict1 = {}\n", + "dict2 = {}\n", + "dict3 = {}\n", + "\n", + "db = pymysql.connect(host = \"localhost\",user = \"songyi\",password = \"yylzs\",database = \"ydyb\" )\n", + "cursor = db.cursor()\n", + "sql = \"SELECT b.avatar_id, a.name ,a.sex,a.birth FROM people as a,places_people as b WHERE a.id =b.people_id AND b.place_id = 139\"\n", + "cursor.execute(sql)\n", + "results = cursor.fetchall()\n", + "for result in results:\n", + " bh = result[0]\n", + " \n", + " name = str(result[1]).strip()\n", + " dict2.setdefault(bh,{})\n", + " dict2[bh]['name'] = name\n", + " dict2[bh]['sex'] = result[2]\n", + " #dict2[bh]['birth'] = result[3]\n", + " #print(result[3])\n", + " days = (datetime.date(2023, 3, 6)-result[3]).days\n", + " dict2[bh]['age'] = round(days/365)\n", + "\n", + "filename = 'data/低碳院体测人员信息2023.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(dict2, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "e659cc7e-080a-4ad6-9306-3cfff0aca134", + "metadata": {}, + "source": [ + "### 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e6b4c99-fa09-414d-9dd5-932835d8609c", + "metadata": { + "tags": [] + }, + "outputs": [], + "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", + "#SQL语句为：\n", + "#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n", + "\n", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "#print(\"\\n运动项目信息：\")\n", + "filename = 'data/139.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[4])\n", + " m_item = str(result[0]) \n", + " re_ta.setdefault(user,{}) \n", + " re_ta[user]['name'] = str(result[6])\n", + " re_ta[user]['unit'] = str(result[5]) \n", + " item_name = item[m_item]['name']\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[1])/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[2]\n", + "filename = 'data/result_低碳院.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "36085f28-fad2-490e-b085-2ef5dd5d64c8", + "metadata": {}, + "source": [ + "### 统计人员测试成绩" + ] + }, + { + "cell_type": "markdown", + "id": "9e0f798b-665f-4ffb-a18c-fc8f87f21ade", + "metadata": {}, + "source": [ + "#### 汇总人员信息及成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "18b7ab77-8fc3-4edf-93c4-9a1e29cd71f6", + "metadata": { + "tags": [] + }, + "outputs": [], + "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", + "filename = 'data/result_低碳院.json'\n", + "\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/低碳院体测人员信息2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl) \n", + "for k,v in dict1.items():\n", + " print(k)\n", + " score = 0\n", + " i = 0\n", + " for k1,v1 in v.items():\n", + " \n", + " \n", + " if k1 in items:\n", + " score = score + int(v1['得分'])\n", + " i+=1\n", + " \n", + " dict1[k]['age'] = dict2[k]['age']\n", + " dict1[k]['sex'] = dict2[k]['sex']\n", + " dict1[k]['score'] = round(score/i,2)\n", + " \n", + "filename = 'data/result_低碳院.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "8c97bf0f-2b01-487d-bd18-200fcbe2c9b3", + "metadata": {}, + "source": [ + "#### 根据年龄汇总人员信息及成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "bcc60f36-71aa-4d59-b4dd-55b1f95ef4f3", + "metadata": { + "execution": { + "iopub.execute_input": "2023-03-23T13:10:46.922922Z", + "iopub.status.busy": "2023-03-23T13:10:46.922072Z", + "iopub.status.idle": "2023-03-23T13:10:46.938257Z", + "shell.execute_reply": "2023-03-23T13:10:46.937054Z", + "shell.execute_reply.started": "2023-03-23T13:10:46.922881Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：1.82分，人数：2人\n", + "25~29岁平均成绩：3.0分，人数：13人\n", + "30~34岁平均成绩：3.01分，人数：36人\n", + "35~39岁平均成绩：3.23分，人数：41人\n", + "40~44岁平均成绩：3.05分，人数：55人\n", + "45~49岁平均成绩：2.82分，人数：14人\n", + "50~54岁平均成绩：2.88分，人数：5人\n", + "55~59岁平均成绩：2.14分，人数：5人\n", + "60~69岁平均成绩：1.45分，人数：1人\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "\n", + "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]\n", + "filename = 'data/result_低碳院.json'\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", + " for k,v in dict1.items():\n", + " if v['age'] in range(di,gao+1):\n", + " score = score+v['score']\n", + " i+=1\n", + " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "f0d65f4e-04e8-4680-9b30-77b045be4e0a", + "metadata": {}, + "source": [ + "#### 根据项目汇总人员信息及成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "f0624326-7a21-4358-a036-daf03432bc80", + "metadata": { + "execution": { + "iopub.execute_input": "2023-03-23T13:46:30.165738Z", + "iopub.status.busy": "2023-03-23T13:46:30.164841Z", + "iopub.status.idle": "2023-03-23T13:46:30.207376Z", + "shell.execute_reply": "2023-03-23T13:46:30.206332Z", + "shell.execute_reply.started": "2023-03-23T13:46:30.165698Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'体重': {'总体': [625, 165], '男': [310, 94], '女': [315, 71]}, '肺活量': {'总体': [651, 166], '男': [371, 95], '女': [280, 71]}, '握力': {'总体': [335, 159], '男': [191, 93], '女': [144, 66]}, '坐位体前屈': {'总体': [474, 162], '男': [248, 92], '女': [226, 70]}, '纵跳': {'总体': [515, 164], '男': [276, 94], '女': [239, 70]}, '俯卧撑': {'总体': [322, 85], '男': [322, 85]}, '一分钟仰卧起坐': {'总体': [246, 59], '女': [246, 59]}, '单脚站立': {'总体': [339, 165], '男': [169, 94], '女': [170, 71]}, '选择反应时': {'总体': [562, 164], '男': [313, 93], '女': [249, 71]}, '台阶指数': {'总体': [413, 146], '男': [239, 84], '女': [174, 62]}}\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "items = ['体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", + "filename = 'data/result_低碳院.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "dict2 = {}\n", + "for item in items:\n", + " dict2.setdefault(item,{})\n", + " for k, v in dict1.items():\n", + " if item in v.keys():\n", + " dict2[item].setdefault('总体',[0,0])\n", + " \n", + " if v['sex']==0:\n", + " sex = '男'\n", + " else:\n", + " sex = '女'\n", + " dict2[item].setdefault(sex,[0,0])\n", + " dict2[item]['总体'][0]= dict2[item]['总体'][0]+int(v[item]['得分'])\n", + " dict2[item]['总体'][1]= dict2[item]['总体'][1]+1\n", + " dict2[item][sex][0] = dict2[item][sex][0]+int(v[item]['得分'])\n", + " dict2[item][sex][1] = dict2[item][sex][1]+1\n", + "print(dict2)\n", + "title= []\n", + "zt= []\n", + "nan= []\n", + "nv = []\n", + "title.append('')\n", + "zt.append('总体')\n", + "nan.append('男性')\n", + "nv.append('女性')\n", + "for k, v in dict2.items():\n", + " title.append(k)\n", + " zt.append(round(v['总体'][0]/v['总体'][1],2))\n", + " if '男' in v.keys():\n", + " nan.append(round(v['男'][0]/v['男'][1],2))\n", + " else:\n", + " nan.append(' ')\n", + " if '女' in v.keys():\n", + " nv.append(round(v['女'][0]/v['女'][1],2))\n", + " else:\n", + " nv.append(' ')\n", + "list1 = []\n", + "\n", + "list1.append(zt)\n", + "list1.append(nan)\n", + "list1.append(nv)\n", + "filename = 'data/低碳院不同性别成绩分析.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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n" + ] + }, + { + "cell_type": "markdown", + "id": "c27c6f4b-d0ed-40e8-aed9-09662edd21c6", + "metadata": { + "jp-MarkdownHeadingCollapsed": true, + "tags": [] + }, "source": [ "### 统计问卷人员信息" ] @@ -1352,16 +1670,9 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": null, "id": "162e0573-e1c7-4538-bffa-c34eb5b40d8a", "metadata": { - "execution": { - "iopub.execute_input": "2023-03-22T12:47:26.571739Z", - "iopub.status.busy": "2023-03-22T12:47:26.570902Z", - "iopub.status.idle": "2023-03-22T12:47:26.591504Z", - "shell.execute_reply": "2023-03-22T12:47:26.590497Z", - "shell.execute_reply.started": "2023-03-22T12:47:26.571699Z" - }, "tags": [] }, "outputs": [], @@ -1403,27 +1714,12 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": null, "id": "b48f9fba-d8e9-4d47-a456-48065a912f5f", "metadata": { - "execution": { - "iopub.execute_input": "2023-03-22T12:51:48.070188Z", - "iopub.status.busy": "2023-03-22T12:51:48.069351Z", - "iopub.status.idle": "2023-03-22T12:51:48.091373Z", - "shell.execute_reply": "2023-03-22T12:51:48.090459Z", - "shell.execute_reply.started": "2023-03-22T12:51:48.070146Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import os\n", @@ -1517,29 +1813,12 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": null, "id": "204fcae8-32e6-4016-b533-b8a8a750580e", "metadata": { - "execution": { - "iopub.execute_input": "2023-03-22T13:00:02.518291Z", - "iopub.status.busy": "2023-03-22T13:00:02.517403Z", - "iopub.status.idle": "2023-03-22T13:00:02.560955Z", - "shell.execute_reply": "2023-03-22T13:00:02.559935Z", - "shell.execute_reply.started": "2023-03-22T13:00:02.518251Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "113\n", - "[['适应A组', '宗瑾', 0], ['适应A组', '范玉建', 0], ['适应A组', '小新卖蜡笔💚', 1], ['适应A组', '李轩', 1], ['适应A组', '赵文静', 1], ['适应A组', '啦啦啦', 2], ['适应A组', '沐风', 3], ['适应A组', '杨征', 4], ['适应A组', '毛毛李', 4], ['适应A组', 'Hansolo', 4], ['适应A组', '李旭影', 5], ['适应A组', '林泉', 5], ['适应A组', '海', 5], ['适应A组', '阮如玉', 7], ['适应A组', 'Qieyingli', 7], ['适应A组', '赵璐璐', 8], ['适应A组', '王绍亮', 9], ['适应A组', '冰王子', 10], ['适应A组', '贾小胖', 11], ['适应A组', 'yuandelin', 13], ['适应A组', '于双恩', 14], ['适应A组', '红太虎', 14], ['适应A组', '杨如意', 20], ['适应A组', 'Fan Yongsheng', 22], ['适应A组', '晓亚', 25], ['适应A组', 'Lan💐💐💐', 25], ['适应A组', '贺国锋', 28], ['适应A组', '闫瑞军', 29], ['适应A组', '呆呆（丹）🍀', 29], ['适应A组', '齐云龙', 35], ['适应A组', '高星', 42], ['适应A组', '高高兴兴', 43], ['适应A组', '孙任晖', 48], ['适应A组', '王海棠', 50], ['适应A组', '顺其自然', 73], ['适应A组', '老罗', 75], ['适应A组', 'Ssss', 77], ['适应A组', '阿白', 79], ['适应A组', 'Linge', 88], ['适应A组', '董春伟', 94], ['适应A组', 'LyuYJ', 95], ['适应A组', '阿杜', 71], ['适应B组', '宗瑾', 0], ['适应B组', '王涛', 0], ['适应B组', '张凡', 1], ['适应B组', '浩', 2], ['适应B组', '葱', 3], ['适应B组', '程萌', 3], ['适应B组', '无', 6], ['适应B组', 'Shuai', 22], ['适应B组', '。。。', 23], ['适应B组', '韩志华', 25], ['适应B组', '龙龙', 39], ['适应B组', 'YX~', 44], ['适应B组', 'liqiands', 45], ['适应B组', '比小熊', 57], ['适应B组', '欢欢', 63], ['适应B组', 'scofiedys', 64], ['适应B组', '武月', 103], ['适应C组', '宗瑾', 0], ['适应C组', '胜录', 0], ['适应C组', 'candy', 0], ['适应C组', '阳光雨露', 1], ['适应C组', '劉知邦', 1], ['适应C组', '方秋', 1], ['适应C组', '赵华博', 2], ['适应C组', '时㈥🇨🇳', 3], ['适应C组', '赛赛\\ue305', 8], ['适应C组', '延鑫', 9], ['适应C组', '颜', 12], ['适应C组', '韦慧🎈', 12], ['适应C组', '许明', 23], ['适应C组', '康善娇', 25], ['适应C组', '王伟', 30], ['适应C组', '丁江涛', 31], ['适应C组', '城墙', 51], ['适应C组', '香龙', 53], ['适应C组', '🍜李为真', 54], ['适应C组', 'Ming', 57], ['适应C组', '王子鑫', 73], ['适应C组', 'Ophelia琪', 82], ['适应C组', '张寅灵', 82], ['适应C组', '张艳杰', 107], ['提高组', '宗瑾', 0], ['提高组', '小新卖蜡笔💚', 0], ['提高组', 'momo', 1], ['提高组', 'momo', 15], ['提高组', '郭建秋', 17], ['提高组', 'fumei🍭🍿', 62], ['提高组', '刘捷', 89], ['提高组', '赵明', 89]]\n", - "ok\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import time\n", @@ -1589,16 +1868,9 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": null, "id": "c12b2d1b-774e-40c1-8a80-df3fa5889b61", "metadata": { - "execution": { - "iopub.execute_input": "2023-03-22T13:11:58.767063Z", - "iopub.status.busy": "2023-03-22T13:11:58.766209Z", - "iopub.status.idle": "2023-03-22T13:11:58.852385Z", - "shell.execute_reply": "2023-03-22T13:11:58.851586Z", - "shell.execute_reply.started": "2023-03-22T13:11:58.767021Z" - }, "tags": [] }, "outputs": [],