python学习xlsx表格导入mysql脚本 + leetcode19删除链表倒N + python与本地mysql连接不上排错
1.xlsx表格导入mysql脚本
import pandas as pd
import os
import pymysql
from sqlalchemy import create_engine
import openpyxl# 数据库配置
DBHOST = "localhost"
DBUSER = "root"
DBPASS = "password"
DBNAME = "todoapp"# 创建数据库连接
engine = create_engine(f'mysql+pymysql://{DBUSER}:{DBPASS}@{DBHOST}/{DBNAME}')def read_excel_with_merged_cells(excel_file_path, sheet_name):"""读取包含合并单元格的Excel文件，并处理合并单元格"""wb = openpyxl.load_workbook(excel_file_path, data_only=True)ws = wb[sheet_name]merged_values = {}# 记录所有合并单元格的值for merged_range in ws.merged_cells.ranges:min_col, min_row, max_col, max_row = merged_range.bounds# 获取合并单元格的原始值（左上角）top_left_cell = ws.cell(row=min_row, column=min_col)value = top_left_cell.value# 将值记录到所有合并的单元格位置for row in range(min_row, max_row + 1):for col in range(min_col, max_col + 1):merged_values[(row, col)] = value# 解除合并单元格，防止后续读取时报错ws.merged_cells = set()# 构建 DataFrame 数据data = []for row in ws.iter_rows():new_row = []for cell in row:row_idx = cell.rowcol_idx = cell.columnvalue = merged_values.get((row_idx, col_idx), cell.value)new_row.append(value)data.append(new_row)# 第一行作为列名df = pd.DataFrame(data[1:], columns=data[0])return df
def clean_column_name(col_name):"""清理列名，使其符合MySQL字段命名规则"""return col_name.replace(" ", "_").replace("-", "_").lower()def create_table_from_df(df, table_name, cursor):"""根据DataFrame创建MySQL表"""columns_sql = []for col in df.columns:dtype = df[col].dtypeif dtype == 'int64':sql_type = 'INT'elif dtype == 'float64':sql_type = 'FLOAT'elif dtype == 'datetime64[ns]':sql_type = 'DATETIME'else:sql_type = 'TEXT'# 清理列名，确保可以作为MySQL字段名clean_col = clean_column_name(col)columns_sql.append(f"`{clean_col}` {sql_type}")columns_sql = ",\n ".join(columns_sql)create_table_sql = f"""CREATE TABLE IF NOT EXISTS `{table_name}` (id INT AUTO_INCREMENT PRIMARY KEY,{columns_sql},created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP)"""try:cursor.execute(create_table_sql)print(f"表 `{table_name}` 创建成功")except Exception as e:print(f"创建表 `{table_name}` 时出错: {e}")def import_data_to_mysql(data_dict):"""将多个sheet数据分别导入为MySQL中的多个表"""try:with engine.connect() as conn:cursor = conn.connection.cursor()for sheet_name, df in data_dict.items():# 清理sheet名称，确保可以作为表名table_name = clean_column_name(sheet_name)print(f"正在处理sheet: {sheet_name} → 表名: {table_name}")# 创建表create_table_from_df(df, table_name, cursor)# 清理DataFrame列名，使其符合MySQL字段命名规则df.columns = [clean_column_name(col) for col in df.columns]# 插入数据df.to_sql(table_name, con=engine, if_exists='append', index=False)print(f"表 `{table_name}` 已成功插入 {len(df)} 条记录")conn.connection.commit()print("所有数据已成功导入到MySQL")return Trueexcept Exception as e:print(f"导入数据时出错: {e}")return Falseif __name__ == "__main__":# 获取当前文件所在目录current_dir = os.path.dirname(os.path.abspath(__file__))print(f"当前目录: {current_dir}")# 假设Excel文件在同一目录下excel_file_path = os.path.join(current_dir, "test.xlsx")# 读取Excel文件中的所有表格data_dict = {}wb = openpyxl.load_workbook(excel_file_path)for sheet_name in wb.sheetnames:df = read_excel_with_merged_cells(excel_file_path, sheet_name)data_dict[sheet_name] = dfif data_dict:# 导入数据到MySQLsuccess = import_data_to_mysql(data_dict)if success:print("所有操作完成！")else:print("导入过程中出现错误，请检查日志。")else:print("没有读取到任何有效的表格数据。")这里只是作为参考，改下mysql表和xlsx文件，结合结合着即可
2. leetcode19删除链表
/*** Definition for singly-linked list.* public class ListNode {* int val;* ListNode next;* ListNode() {}* ListNode(int val) { this.val = val; }* ListNode(int val, ListNode next) { this.val = val; this.next = next; }* }*/
class Solution {public ListNode removeNthFromEnd(ListNode head, int n) {int count = 0;ListNode current = head;while(current != null){count++;current = current.next;}if(n==count){return head.next;}int a = count -n -1 ;int count2 =0;ListNode current2 = head;// if(count2 != a){// count2++;// current2 = current2.next;// }// if(count2 == a){// current2 = current2.next.next;// count2++;// }for(int i = 0; i< a;i++){current2 = current2.next;}//还有关于，指针相关的，current2指向了链表的后面的节点，head指向头节点//current = current2.next.next是错误的，没有达到删除的效果current2.next = current2.next.next;
return head;}}这里看了看 链表排序，归并排序->分治算法，这个排序算法晚上回去看看
3.python与本地mysql连接不上排错（mysql.connector不行，pymysql可以）排查了一天，不知道是不是本机windows和linux不一样
就是没注释的代码可以，注释的连接不上
import pymysqlDBHOST = "localhost"
DBUSER = "root"
DBPASS = "password"
DBNAME = "todoapp"try:conn = pymysql.connect(host=DBHOST,user=DBUSER,password=DBPASS,database=DBNAME)print("数据库成功连接")
except pymysql.Error as e:print("数据库连接失败:", e)# //上面的代码可以连接数据库，下面的连接不上# import mysql.connector
#
# config = {
# 'host': 'localhost',
# 'user': 'root',
# 'password': 'password'
# }
#
# try:
# conn = mysql.connector.connect(**config)
# print("连接成功！")
# conn.close()
# except Exception as e:
# print(f"连接失败: {e}")