AttributeError: 'myNormalize' object has no attribute 'mean'

AttributeError: 'myNormalize' object has no attribute 'mean'是一个错误提示，意味着在'myNormalize'对象中没有'mean'属性。这通常发生在你尝试访问一个不存在的属性或方法时。

可能的原因是：
1. 你可能错误地拼写了属性名或方法名。请检查拼写是否正确。
2. 你可能没有正确地初始化'myNormalize'对象。请确保在使用对象之前正确地创建和初始化它。
3. 'myNormalize'类可能没有定义'mean'属性。请检查类的定义，确保它包含所需的属性。

如果你能提供更多的上下文或代码片段，我可以给出更具体的帮助。

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)

AttributeError: type object 'QJsonParseError' has no attribute 'NoError'. Did you mean: 'error'?

这个错误可能是因为你使用了错误的属性名称。在Python中，属性名称是区分大小写的。因此，如果你使用了大小写不正确的属性名称，它可能会引发 AttributeError。在这种情况下，QJsonParseError类没有名为NoError的属性。你可以尝试使用正确的属性名称 error 来解决这个问题。例如：

QJsonParseError error
if json_doc.isNull():
    print("Failed to create JSON document.")
elif json_doc.isEmpty():
    print("JSON document is empty.")
elif not json_doc.isObject():
    print("JSON document is not an object.")
elif json_doc["key"].isNull():
    print("JSON document has a null value for key 'key'.")
elif json_doc["key"].isString():
    print("JSON document has a string value for key 'key':", json_doc["key"].toString())
else:
    print("JSON document has an unexpected value for key 'key':", json_doc["key"].toJson())