AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'?出现这个错误怎么办

这个错误提示表明在DataFrame对象上调用了一个名为'append'的方法，但是该方法不存在。相反，它建议使用'_append'方法。这可能是因为pandas版本更新导致的方法名称更改。要解决此问题，您可以尝试以下方法：
1.使用'_append'方法代替'append'方法。
2.使用concat()方法将两个DataFrame对象连接起来。
3.使用pandas.DataFrame.append()方法，而不是直接在DataFrame对象上调用'append'方法。

以下是第一种方法的示例代码：

import pandas as pd

# 创建一个空的DataFrame对象
df = pd.DataFrame(columns=['A', 'B', 'C'])

# 使用'_append'方法添加新行
df = df._append({'A': 1, 'B': 2, 'C': 3}, ignore_index=True)

# 打印DataFrame对象
print(df)

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