使用“iloc”时，“试图在来自 DataFrame 的切片的副本上设置值”错误

Question

Jupiter nootbook 正在返回此警告：

*C:\anaconda\lib\site-packages\pandas\core\indexing.py:337: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

请参阅文档中的注意事项：http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy

self.obj[key] = _infer_fill_value(value)
C:\anaconda\lib\site-packages\pandas\core\indexing.py:517: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

请参阅文档中的注意事项：http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy

self.obj[item] = s*

运行以下代码后：

def group_df(df,num):
    ln = len(df)
    rang = np.arange(ln)
    splt = np.array_split(rang,num)
    lst = []
    finel_lst = []
    for i,x in enumerate(splt):
        lst.append([i for x in range(len(x))])
    for k in lst:
        for j in k:
            finel_lst.append(j)
    df['group'] = finel_lst
    return df
def KNN(dafra,folds,K,fi,target):        
    df = group_df(dafra,folds)
    avarge_e = []
    for i in range(folds):
        train = df.loc[df['group'] != i]
        test = df.loc[df['group'] == i]
        test.loc[:,'pred_price'] = np.nan
        test.loc[:,'rmse'] = np.nan
        print(test.columns)
KNN(data,5,5,'GrLivArea','SalePrice')    

在错误消息中，建议使用.loc indexing- 我这样做了，但没有帮助。请帮帮我-有什么问题？我已经完成了相关问题并阅读了文档，但我仍然不明白。

Answer 1

我觉得你需要copy:

train = df.loc[df['group'] != i].copy()
test = df.loc[df['group'] == i].copy()

如果您稍后修改 test 中的值，您会发现修改不会传播回原始数据 (df)，并且 Pandas 会发出警告。