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

这个错误是因为DataFrame对象没有名为'append'的属性或方法。相反，它有一个名为'_append'的方法。如果你想将一个DataFrame对象附加到另一个DataFrame对象的末尾，你可以使用'concat'方法。下面是一个例子：

import pandas as pd

# 创建两个DataFrame对象
df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]})

# 使用concat方法将它们连接起来
df3 = pd.concat([df1, df2])

# 输出结果
print(df3)

输出结果为：

   A  B
0  1  3
1  2  4
0  5  7
1  6  8

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'?

这个错误提示意味着你尝试在 pandas 的 DataFrame 对象上调用 `append` 方法，但是 DataFrame 对象没有该属性，可能是因为你使用了过时的语法。建议使用 `concat` 或 `append` 方法的新语法来合并 DataFrame 对象。例如，使用 `pd.concat([df1, df2])` 或 `df1.append(df2)` 来合并两个 DataFrame 对象。