AttributeError: 'int' object has no attribute 'item'

This error occurs when you try to access the attribute "item" of an integer object, but integers do not have an "item" attribute.

For example, if you have a variable "x" that is an integer and you try to access "x.item", you will get this error.

To fix this, you need to check if you are trying to access an attribute that actually exists for the object you are working with. If you are trying to work with a list or array, make sure you are not accidentally using an integer variable instead.

相关问题

AttributeError: int object has no attribute int

抱歉，根据提供的引用内容，无法回答“AttributeError: int object has no attribute int”的问题。但是，根据错误信息“AttributeError: 'int' object has no attribute 'encode'”和“AttributeError: 'int' object has no attribute 'endswith'”，可以得出结论：在代码中，将整数类型的变量当作字符串类型来使用了，而整数类型没有“encode”或“endswith”等字符串类型的属性，因此会出现“AttributeError”错误。

解决这个问题的方法是，检查代码中是否有将整数类型的变量当作字符串类型来使用的情况，如果有，需要将其转换为字符串类型后再进行操作。可以使用str()函数将整数类型的变量转换为字符串类型，例如：

num = 123
str_num = str(num)

AttributeError: list object has no attribute iloc

`iloc` is a method provided by Pandas DataFrame and Series objects to access data using integer-based indexing. It seems that you are using it with a list object which does not have this attribute.

To resolve this error, you should check if you are working with a Pandas DataFrame or Series object when trying to use `iloc`. If you are working with a list object, you can access its elements using integer-based indexing directly, without using `iloc`.

Here is an example:

my_list = [1, 2, 3, 4, 5]
print(my_list[0])  # Output: 1
print(my_list[1:3])  # Output: [2, 3]

If you are working with a Pandas DataFrame or Series object, make sure to use the correct syntax for `iloc`. Here is an example:

import pandas as pd

df = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})
print(df.iloc[0])  # Output: a    1\nb    4\nName: 0, dtype: int64
print(df.iloc[0, 1])  # Output: 4