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

"DataFrame"是Pandas库中的一个重要数据结构，它用于存储表格型的数据，类似于SQL表或Excel表格。然而，当你遇到`AttributeError: 'DataFrame' object has no attribute 'append'`这样的错误，通常意味着你尝试在DataFrame对象上调用了一个不存在的`append`方法。

在Pandas中，`append`方法确实是存在的，用于将两个或更多的DataFrame对象追加在一起。如果你看到提示可能是指`_append`，那可能是内部使用的属性，用户不应该直接使用。

正确的用法应该是：

# 假设df1和df2是两个DataFrame对象
df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]})

# 使用append方法正确地追加
df3 = df1.append(df2)

# 或者使用 pandas.concat() 函数，效果相同
df3 = pd.concat([df1, df2], ignore_index=True)  # ignore_index=True 用来重置索引

如果你确实收到了`_append`的提示，那可能是因为你在某个内部API或者库的上下文中看到了这个，而不是Pandas的标准API。如果你能提供具体的代码片段，我可以给出更准确的帮助。

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