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

"DataFrame"对象没有"append"属性的错误通常是由于使用了错误的方法或属性名称导致的。根据引用，正确的属性名称可能是"_append"而不是"append"。你可以尝试使用"_append"方法来解决这个问题。

此外，根据引用，可能是因为在PyCharm中使用了"data.score"这个属性，而实际上"data"是一个DataFrame对象，它没有"score"属性。你可以通过查看数据框的列名来确定应该使用哪个属性来获取具体的数据。

另外，引用提到了一个包含报告器模块的路径，但与当前问题似乎没有直接关联。

所以，根据以上引用内容，你可以尝试使用"_append"方法并检查你的DataFrame对象的属性名称来解决"'DataFrame' object has no attribute 'append'. Did you mean: '_append'?"的问题。

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)

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！