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

当你在Python中遇到"AttributeError: 'int' object has no attribute 'j'"错误时，这意味着你正在尝试访问一个整数对象没有的属性。整数对象是不可变的，因此不能添加新的属性。

以下是一个演示这个错误的例子[^1]：

num = 5
print(num.j)

运行这段代码会引发"AttributeError: 'int' object has no attribute 'j'"错误，因为整数对象没有名为"j"的属性。

如果你想给整数对象添加属性，你可以使用自定义类来实现。例如：

class MyInt:
    def __init__(self, value):
        self.value = value

num = MyInt(5)
num.j = 10
print(num.j)  # 输出：10

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