AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'?这样的错误显示怎么改正

这个错误提示是因为pandas中的DataFrame并不具备append方法，正确的方法是使用concat或者append函数来合并两个或多个DataFrame。

使用concat方法示例：

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11, 12]})

df3 = pd.concat([df1, df2]) # 传入一个列表，列表中包含需要合并的DataFrame对象
print(df3)

使用append方法示例：

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11, 12]})

df3 = df1.append(df2) # 将df2合并到df1末尾，生成新的DataFrame对象
print(df3)

你可以根据自己的需求选择其中的一种方式。

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'?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