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

当出现"'DataFrame' object has no attribute 'append'. Did you mean: '_append'"的错误时，这意味着DataFrame对象没有名为'append'的属性。可能是因为你想使用'_append'方法而不是'append'方法。请检查你的代码，确保使用了正确的方法名。

如果你遇到了"AttributeError: ‘DataFrame’ object has no attribute ‘score’"的错误，这意味着DataFrame对象没有名为'score'的属性。请确保你的DataFrame对象中存在名为'score'的列，并且你正在正确地引用它。

我注意到你提到了路径"D:\Anaconda3\envs\py3.10_cuda11.3\lib\site-packages\torchstat\reporter.py"，但是这个路径与你的问题似乎没有直接关联。如果你在使用torchstat库时遇到了问题，你可以检查一下你的代码是否正确导入了该库，并且你是否使用了正确的方法和参数。

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)

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

这个错误提示表明DataFrame对象没有名为“append”的属性，但是有一个名为“_append”的属性。这意味着您可能需要使用“_append”方法来添加行或列到DataFrame中。下面是一个示例代码，演示如何使用“_append”方法向DataFrame中添加一行数据：

import pandas as pd

# 创建一个空的DataFrame
df = pd.DataFrame(columns=['Name', 'Age', 'Gender'])

# 添加一行数据
df = df.append({'Name': 'John', 'Age': 25, 'Gender': 'Male'}, ignore_index=True)

# 打印DataFrame
print(df)

输出：

   Name  Age Gender
0  John   25   Male