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

这个错误是因为在代码中使用了一个整数对象，而整数对象没有values属性。根据引用\[1\]和引用\[2\]中的代码，可以看出问题出在x\['基金内码'\].values\[0\]这一行。这行代码尝试获取x\['基金内码'\]的values属性的第一个元素，但是x\['基金内码'\]是一个整数对象，而整数对象没有values属性。因此，需要检查一下x\['基金内码'\]的数据类型，确保它是一个可以使用values属性的对象。
#### 引用[.reference_title]
- *1* *2* [python AttributeError: ‘int‘ object has no attribute ‘_get_axis](https://blog.csdn.net/oZuoZi123456789oo/article/details/126947223)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item]
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相关问题

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

这个错误是因为在代码中使用了`x\['基金内码'\].values\[0\]`，但是`x\['基金内码'\].values\[0\]`返回的是一个整数，而不是一个对象，因此无法调用`value`属性。为了解决这个问题，你可以将`x\['基金内码'\].values\[0\]`改为`x\['基金内码'\].iloc\[0\]`，这样就可以正确地获取到`'基金内码'`列的第一个值了。修改后的代码如下：

def calc_A(x):
    if x\['基金内码'\].iloc\[0\] == '1030000264':
        A_stack = np.nan
    else:
        A_stack = pd.DataFrame(\[1,2,3\])
    return A_stack

A = secode_df.groupby(\['基金内码'\]).apply(lambda x: calc_A(x))

这样修改后，应该就不会再出现`AttributeError: 'int' object has no attribute 'value'`的错误了。
#### 引用[.reference_title]
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AttributeError: 'int' object has no attribute 'ravel'

This error message indicates that you are trying to use the "ravel" method on an integer object, which does not have this method.

The "ravel" method is used to convert a multi-dimensional array into a flattened 1D array. It can only be used on arrays, not on individual values.

To fix this error, you should check your code and make sure that you are using the "ravel" method on an array object, not on an integer.