import pandas as pd
from openpyxl import load_workbook

# 新的数据
new_data = {
    '名字': ['朱文宝', '朱文先'],
    '性别': ['男', '女'],
    '年龄': [21, 20],
    '爱好': ['篮球','足球']
}

# 创建 DataFrame
new_df = pd.DataFrame(new_data)

# 指定要保存的文件路径
output_file_path = r'C:\Users\andin\Desktop\zhuwenbao.xlsx'

# 读取现有 Excel 文件
try:
    workbook = load_workbook(output_file_path)
except FileNotFoundError:
    workbook = None

# 合并新旧数据
if workbook is not None:
    try:
        worksheet = workbook.active  # 获取活动工作表
        last_row = worksheet.max_row  # 获取最后一行的行号

        # 检查工作表是否为空
        if last_row == 1 and worksheet.max_column == 1:
            # 写入列名
            for col_num, col_name in enumerate(new_df.columns, start=1):
                cell = worksheet.cell(row=1, column=col_num)
                cell.value = col_name

        # 追加新数据
        start_row = last_row + 1
        for index, row in new_df.iterrows():
            for col_num, col_name in enumerate(new_df.columns, start=1):
                cell = worksheet.cell(row=start_row + index, column=col_num)
                cell.value = row[col_name]

    except Exception as e:
        print(f"追加数据时发生错误: {e}")
else:
    # 如果文件不存在，则创建一个新的工作簿和工作表，并写入列名和数据
    with pd.ExcelWriter(output_file_path, engine='openpyxl') as writer:
        new_df.to_excel(writer, sheet_name='Sheet1', index=False)

# 保存工作簿
workbook.save(output_file_path)
print(f"数据已成功追加到 {output_file_path}")