Python Columns参数不存在'；导出excel文件时无法工作（熊猫）

第一张表包含并且应该包含所有原始列，而第二张表仅包含我提到的那些列。但是，最后一个仍然包含所有原始列，仍然显示另外三个列，就好像我从未输入

columns=

参数一样

更新：此格式也不起作用：

url = 'https://data.cityofnewyork.us/api/views/25th-nujf/rows.csv'
baby_names = pd.read_csv(url)

girls = baby_names[baby_names['Gender'] == 'FEMALE']
boys = baby_names[baby_names['Gender'] == 'MALE']

excel_file = pd.ExcelWriter('Baby_Names.xlsx')

girls.to_excel(excel_file, sheet_name='Girls', index=False)
boys.to_excel(excel_file, sheet_name='Boys', index=False, columns=['Year of Birth', 'Gender', 'Ethnicity'])

excel_file.save()

提供了使用ExcelWriter编写多个工作表的示例，如下所示：

with pd.ExcelWriter('Baby_Names.xlsx') as excel_file:
    girls.to_excel(excel_file, sheet_name='Girls', index=False)
    boys.to_excel(excel_file, sheet_name='Boys', index=False, columns=['Year of Birth', 'Gender', 'Ethnicity'])
    excel_file.save()

也许可以尝试使用此单一文件上下文编写两个工作表

with pd.ExcelWriter('output.xlsx') as writer:  
    df1.to_excel(writer, sheet_name='Sheet_name_1')
    df2.to_excel(writer, sheet_name='Sheet_name_2')

 excel_file = pd.ExcelWriter('Baby_Names.xlsx')
 with excel_file as writer:  
    girls.to_excel(excel_file, sheet_name='Girls', index=False)
    boys.to_excel(excel_file, sheet_name='Boys', index=False, columns=['Year of Birth', 'Gender', 'Ethnicity'])