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admin aac9f5934d feat: 添加多个功能模块和工具脚本 
- 新增websocket客户端和服务端实现
- 添加图片压缩工具和快速压缩脚本
- 实现学生信息处理相关API
- 添加MQTT客户端和消息处理功能
- 更新.gitignore忽略更多文件类型
- 添加数据库操作工具和示例
- 实现多个测试脚本和工具类
2026-04-13 14:47:50 +08:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "e22fc985",
"metadata": {},
"outputs": [],
"source": [
"import pymysql\n",
"import snowflake\n",
"from faker import Faker\n",
"fake = Faker('zh_CN')\n",
"import random\n",
"# 创建数据库连接\n",
"connection = pymysql.connect(\n",
"host='139.159.182.121',\n",
"user='root',\n",
"password='@HXYD1109mysql',\n",
"database='school_server',\n",
"charset='utf8'\n",
")\n",
"# 创建游标对象\n",
"cursor = connection.cursor()\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e7a323ee",
"metadata": {},
"outputs": [],
"source": [
"def create_table(cursor,result):\n",
" \n",
" data = []\n",
" for i in result:\n",
" list_list = list(i)\n",
" des=cursor.description # 获取表详情，字段名，长度，属性等\n",
" t = \",\".join([item[0] for item in des])\n",
" table_head = t.split(',') # # 查询表列名 用,分割\n",
" \n",
" dict_result = dict(zip(table_head, list_list)) # 打包为元组的列表 再转换为字典\n",
" data.append(dict_result) # 将字典添加到list_result中\n",
" return data"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "0e02cf4c",
"metadata": {},
"outputs": [],
"source": [
"gradeId = 129\n",
"teamId = 110\n",
"sql =f\"\"\"SELECT\n",
" s.stu_name,s.stu_no,g.grade_name,a.serial_no,a.attend_date,a.start_time_flag\n",
"FROM\n",
" (\n",
" SELECT\n",
" serial_no,\n",
" attend_date,-- 标记 start_time 是否为 NULL（0=NULL，1=非NULL）\n",
" CASE\n",
" \n",
" WHEN start_time IS NULL THEN\n",
" 0 ELSE 1 \n",
" END AS start_time_flag \n",
" FROM\n",
" attend_into \n",
" WHERE\n",
" attend_date BETWEEN '2025-10-09' \n",
" AND '2025-10-22' \n",
" AND team_id = {teamId} \n",
" AND serial_no IS NOT NULL -- 排除 serial_no 为 NULL 的无效记录\n",
" \n",
" GROUP BY\n",
" serial_no,\n",
" attend_date,\n",
" CASE\n",
" \n",
" WHEN start_time IS NULL THEN\n",
" 0 ELSE 1 \n",
" END -- 按状态分组\n",
" \n",
" ORDER BY\n",
" serial_no,\n",
" attend_date,\n",
" start_time_flag) AS a\n",
" INNER JOIN student AS s ON s.serial_no = a.serial_no\n",
" LEFT JOIN band AS b ON a.serial_no = b.serial_no \n",
" LEFT JOIN grade as g on s.grade_id = g.id WHERE b.type=2 and g.id={gradeId}\"\"\"\n",
"cursor.execute(sql)\n",
"result=cursor.fetchall()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "806be486",
"metadata": {},
"outputs": [],
"source": [
"data = create_table(cursor,result)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "2b3054d6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 9),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 10),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 11),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 12),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 13),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 14),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 15),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 16),\n",
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" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 17),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 18),\n",
" 'start_time_flag': 0},\n",
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" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 19),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 20),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 21),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '测试学生',\n",
" 'stu_no': '23010001',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108315345',\n",
" 'attend_date': datetime.date(2025, 10, 22),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 9),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 10),\n",
" 'start_time_flag': 1},\n",
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" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 11),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 12),\n",
" 'start_time_flag': 0},\n",
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" 'grade_name': '2025级',\n",
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" 'attend_date': datetime.date(2025, 10, 13),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 14),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 15),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 16),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 17),\n",
" 'start_time_flag': 1},\n",
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" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
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" 'attend_date': datetime.date(2025, 10, 18),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 19),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 20),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 21),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '侯羽泽',\n",
" 'stu_no': '25040093',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108618449',\n",
" 'attend_date': datetime.date(2025, 10, 22),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '林乃龙',\n",
" 'stu_no': '25040164',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108635233',\n",
" 'attend_date': datetime.date(2025, 10, 20),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '林乃龙',\n",
" 'stu_no': '25040164',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108635233',\n",
" 'attend_date': datetime.date(2025, 10, 21),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '林乃龙',\n",
" 'stu_no': '25040164',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108635233',\n",
" 'attend_date': datetime.date(2025, 10, 22),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 9),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 10),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
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" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 11),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 12),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 13),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 14),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 15),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 16),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 17),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 18),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 19),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 20),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 21),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '武立业',\n",
" 'stu_no': '25040297',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108602833',\n",
" 'attend_date': datetime.date(2025, 10, 22),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 9),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 10),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 11),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 12),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 13),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 14),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 15),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 16),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 17),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 18),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 19),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 20),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 21),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '卢宇丰',\n",
" 'stu_no': '25040188',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '0022704284',\n",
" 'attend_date': datetime.date(2025, 10, 22),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '邹谧',\n",
" 'stu_no': '25040404',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108616513',\n",
" 'attend_date': datetime.date(2025, 10, 9),\n",
" 'start_time_flag': 1},\n",
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" 'stu_no': '25040404',\n",
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" 'start_time_flag': 1},\n",
" {'stu_name': '邹谧',\n",
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" 'grade_name': '2025级',\n",
" 'serial_no': '3108616513',\n",
" 'attend_date': datetime.date(2025, 10, 11),\n",
" 'start_time_flag': 1},\n",
" {'stu_name': '邹谧',\n",
" 'stu_no': '25040404',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108616513',\n",
" 'attend_date': datetime.date(2025, 10, 12),\n",
" 'start_time_flag': 0},\n",
" {'stu_name': '邹谧',\n",
" 'stu_no': '25040404',\n",
" 'grade_name': '2025级',\n",
" 'serial_no': '3108616513',\n",
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" ...]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "f0b1e7e4",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"df = pd.DataFrame(data)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "579bf47a",
"metadata": {},
"outputs": [],
"source": [
"head = df['attend_date'].value_counts().keys().to_list()\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "695837da",
"metadata": {},
"outputs": [],
"source": [
"head.sort()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "db69f0d7",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 20,
"id": "8c5a893f",
"metadata": {},
"outputs": [
{
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" <th>0</th>\n",
" <td>测试学生</td>\n",
" <td>23010001</td>\n",
" <td>2025级</td>\n",
" <td>3108315345</td>\n",
" <td>2025-10-09</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>测试学生</td>\n",
" <td>23010001</td>\n",
" <td>2025级</td>\n",
" <td>3108315345</td>\n",
" <td>2025-10-10</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>测试学生</td>\n",
" <td>23010001</td>\n",
" <td>2025级</td>\n",
" <td>3108315345</td>\n",
" <td>2025-10-11</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>测试学生</td>\n",
" <td>23010001</td>\n",
" <td>2025级</td>\n",
" <td>3108315345</td>\n",
" <td>2025-10-12</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>测试学生</td>\n",
" <td>23010001</td>\n",
" <td>2025级</td>\n",
" <td>3108315345</td>\n",
" <td>2025-10-13</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" stu_name stu_no grade_name serial_no attend_date start_time_flag\n",
"0 测试学生 23010001 2025级 3108315345 2025-10-09 0\n",
"1 测试学生 23010001 2025级 3108315345 2025-10-10 0\n",
"2 测试学生 23010001 2025级 3108315345 2025-10-11 0\n",
"3 测试学生 23010001 2025级 3108315345 2025-10-12 0\n",
"4 测试学生 23010001 2025级 3108315345 2025-10-13 0"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "5a911490",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\Administrator\\AppData\\Local\\Temp\\ipykernel_10844\\603508577.py:11: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
" df1 = df.groupby('stu_name').apply(fun)\n"
]
}
],
"source": [
"def fun(x):\n",
" # for item in head:\n",
" # if item in x['attend_date'].values:\n",
" # x[item] = x['start_time_flag'].values[0]\n",
" my_row = x.iloc[0]\n",
" for item in head:\n",
" my_row[item] = '空'\n",
" for index, row in x.iterrows():\n",
" my_row[row['attend_date']] = row['start_time_flag']\n",
" return my_row\n",
"df1 = df.groupby('stu_name').apply(fun)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "70faf659",
"metadata": {},
"outputs": [],
"source": [
"df1.drop(columns=['attend_date','start_time_flag'],inplace=True,axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "0707b865",
"metadata": {},
"outputs": [],
"source": [
"df2 = df1.astype('str')"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "4ec7d3cd",
"metadata": {},
"outputs": [],
"source": [
"df2.to_excel('百仁.xlsx',index=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "44496fad",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"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": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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