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

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

这个错误是因为你尝试在DataFrame对象上调用append方法，但是DataFrame对象并没有append方法。相反，DataFrame对象有一个名为"concat"的方法，可以用来将两个或多个DataFrame对象按行或列进行连接。

下面是使用concat方法将两个DataFrame对象按行连接的示例代码：

import pandas as pd

# 创建两个DataFrame对象
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11, 12]})

# 使用concat方法按行连接两个DataFrame对象
result = pd.concat([df1, df2])

print(result)

输出结果为：

   A   B
0  1   4
1  2   5
2  3   6
0  7  10
1  8  11
2  9  12

如果你想按列连接两个DataFrame对象，可以设置参数axis为1：

result = pd.concat([df1, df2], axis=1)

希望能帮助到你！

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'?append函数需要添加什么库

在Python中，DataFrame对象是pandas库中的一个数据结构，它用于处理和分析数据。然而，DataFrame对象本身并没有一个名为'append'的属性或方法。因此，当你尝试使用DataFrame对象的'append'属性时，会出现AttributeError: 'DataFrame' object has no attribute 'append'的错误。

如果你想要将两个DataFrame对象合并起来，可以使用pandas库中的concat()函数或者append()函数。这两个函数都属于pandas库，因此你需要导入pandas库才能使用它们。

下面是使用concat()函数合并两个DataFrame对象的示例代码：

import pandas as pd

# 创建两个DataFrame对象
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11, 12]})

# 使用concat()函数合并两个DataFrame对象
result = pd.concat([df1, df2])

# 打印合并后的结果
print(result)

如果你想要使用append()函数将一个DataFrame对象追加到另一个DataFrame对象的末尾，可以使用以下示例代码：

import pandas as pd

# 创建两个DataFrame对象
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11, 12]})

# 使用append()函数将df2追加到df1的末尾
result = df1.append(df2)

# 打印追加后的结果
print(result)

请注意，无论是使用concat()函数还是append()函数，都需要先导入pandas库。