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

这个错误是因为DataFrame对象没有名为'append'的属性或方法。您可能需要检查代码并确保正确使用了正确的语法和方法。在Pandas中，如果您想要将一行或多行数据添加到DataFrame中，可以使用`concat()`函数或者`append()`函数。例如，要使用`append()`函数将一行数据添加到DataFrame中，您可以使用以下代码：

import pandas as pd

# 创建一个空的DataFrame
df = pd.DataFrame()

# 将一行数据添加到DataFrame中
new_row = pd.Series([1, 2, 3], index=['A', 'B', 'C'])
df = df.append(new_row, ignore_index=True)

请确保您按照自己的需求适当地修改代码。希望对您有帮助！

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)

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

这个错误说明在DataFrame对象上调用了一个名为'append'的属性或方法，但是该对象并没有这个属性或方法。根据错误信息的建议，你可以尝试使用'_append'方法来解决这个问题。请注意，这个错误可能是由于代码逻辑错误或数据类型不匹配引起的。你可以检查一下你的代码，确保正确使用了DataFrame对象的方法和属性。如果问题仍然存在，请提供更多的上下文信息，我会尽力帮助你解决问题。