AttributeError: 'Series' object has no attribute 'append'. Did you mean: '_append'?
时间: 2023-11-01 16:07:09 浏览: 260
"AttributeError: 'Series' object has no attribute 'append'"这个错误通常是因为在pandas中,Series对象没有append方法。如果你想要将一个Series对象添加到另一个Series对象中,你可以使用concat方法。例如,可以使用pd.concat([series1, series2])来将两个Series对象进行连接。
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)
```
return object.__getattribute__(self, name) AttributeError: 'Series' object has no attribute 'append'. Did you mean: '_append'?
这个错误提示表明在一个名为'Series'的对象上调用了'append'方法,但是该对象并没有'append'属性。相反,它建议你使用'_append'属性。这可能是因为'Series'对象没有'append'方法,或者你的代码中有一些错误导致它无法找到'append'方法。你可以尝试使用'_append'属性来代替'append'方法,或者检查你的代码中是否存在拼写错误或其他语法错误。
以下是一个例子,演示了如何使用'_append'属性来代替'append'方法:
```python
my_series = pd.Series([1, 2, 3])
my_series._append(pd.Series([4, 5, 6]))
```
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