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

这个错误提示表明'Series'对象没有'append'属性，但是有'_append'属性。这通常是因为你正在尝试将一个值添加到Pandas Series中，但是Series不支持'append'方法。相反，你可以使用'loc'或'at'方法将值添加到Series中。下面是一个例子：

import pandas as pd

# 创建一个空的Series
s = pd.Series()

# 使用'loc'方法将值添加到Series中
s.loc[0] = 'value1'
s.loc[1] = 'value2'

# 使用'at'方法将值添加到Series中
s.at[2] = 'value3'

# 输出Series
print(s)

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：

my_series = pd.Series([1, 2, 3])
my_series._append(pd.Series([4, 5, 6]))