AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'? PS D:\pucheng\labelme\train\old\old>

这个错误提示`AttributeError: 'DataFrame' object has no attribute 'append'`意味着你试图在一个Pandas DataFrame对象上调用`append`方法，但DataFrame对象实际上并没有这个属性。`append`通常是用于连接两个或多个DataFrame，正确的可能是`pd.concat`，或者是直接使用`loc`、`iloc`或`concat`等方法。

`_append`可能是一个私有方法或者是在特定上下文中的别名，但它不是一个公开可用的方法。确保你在操作数据时，使用的API是Pandas DataFrame的官方推荐方法或者已经导入了正确的方法。

相关问题：
1. 如何在Pandas中正确地合并DataFrame？
2. `pd.concat`函数有什么用途？
3. 如果`append`方法不存在，如何避免这类AttributeError？

相关问题

AttributeError: DataFrame object has no attribute append . Did you mean: _append ?

This error occurs when you try to call the `append` method on a Pandas DataFrame object, but the object does not have an `append` attribute.

One possible reason for this error is that you are trying to append a DataFrame to another DataFrame using the `append` method, but you are not using it correctly. In Pandas, the `append` method does not modify the original DataFrame, but instead it returns a new DataFrame that contains the rows from both DataFrames. Therefore, you need to assign the result of the `append` method to a new variable or to the original DataFrame, like this:

df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]})
df3 = df1.append(df2)

In this example, `df3` will contain the rows from both `df1` and `df2`.

If you are still getting the AttributeError, it's possible that the DataFrame object you are trying to append to does not have an `append` attribute. In this case, you can try using the `_append` attribute instead, which is a private method that is used internally by Pandas. However, be aware that using private methods may not be supported in future versions of Pandas and may cause unexpected behavior.

df1._append(df2)

AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'?

这个错误通常是因为pandas的版本问题导致的。在较新的版本中，DataFrame对象的append方法已被弃用，使用concat方法来替代。您可以尝试将代码中的append方法替换为concat方法，例如：

# 读取每个Excel文件并将其添加到合并后的DataFrame中
for file in excel_files:
    df = pd.read_excel(file, dtype=str)  # 将所有内容转换为字符串
    combined_df = pd.concat([combined_df, df], ignore_index=True)

在这个示例中，我们使用了pandas的concat方法来将新的DataFrame添加到合并后的DataFrame中。我们使用了ignore_index=True参数来避免重复的行号。