英文:
sklearn fit_transform() CopyWarning : A value is trying to be set on a copy of a slice from a DataFrame
问题
我已阅读关于此错误的众多帖子。我无法找到解决我的问题的解决方案。以下是三次尝试解决此问题的结果。它们都会产生CopyWarning。
ordinal = OrdinalEncoder(categories=[['F','E','D','C','B','A']])
X['merchant_category'] = ordinal.fit_transform(X[['merchant_category']])
X.loc[:, 'merchant_category'] = ordinal.fit_transform(X[['merchant_category']])
X.loc[:, 'merchant_category'] = ordinal.fit_transform(X.loc[:, ['merchant_category']])
我尝试使用了上述三种不同的变体。
英文:
I have read numerous posts about this error. I wasn't able to produce a solution that solved my issue. Below are three attempts at solving the issue. They all produce CopyWarning.
ordinal = OrdinalEncoder(categories=[['F','E','D','C','B','A']])
X['merchant_category'] = ordinal.fit_transform(X[['merchant_category']])
X.loc[:, 'merchant_category'] = ordinal.fit_transform(X[['merchant_category']])
X.loc[:, 'merchant_category'] = ordinal.fit_transform(X.loc[:, ['merchant_category']])
I have tried to use the 3 different variation above.
答案1
得分: 0
你的问题是从你的代码这部分之前出现的。由于X是一个数据框的副本，你在这之前一定做了类似这样的操作：
X = X[['merchant_category']]
你可以在这之前的代码中纠正这个问题，或者从这里开始你的代码：
X = X.copy()
这将使X成为一个新的独立数据框。
英文:
Your issue is from before this part of your code. Since X is a copy of a dataframe you must have done something like this before:
X = X[['merchant_category']]
You can either correct this issue in your code before, or start your code here with:
X = X.copy()
This will set X as a new independent dataframe.
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