C:\Windows\Temp\ipykernel_2488\1393315378.py:3: 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

这是一个 pandas 中的警告信息，意思是你正在尝试修改一个 DataFrame 的切片副本，而不是原始数据。为了避免这个警告，建议使用 `.loc` 或 `.iloc` 来进行赋值操作。例如，将 `df['column'][row_index] = new_value` 改为 `df.loc[row_index, 'column'] = new_value`。这样可以确保修改的是原始数据。

相关问题

def feature_Kmeans(data,label): mms = MinMaxScaler() feats = [f for f in data.columns if f not in ['loan_id', 'user_id', 'isDefault']] data = data[feats] mmsModel = mms.fit_transform(data.loc[data['class'] == label]) clf = KMeans(5, random_state=2021) pre = clf.fit(mmsModel) test = pre.labels_ final_data = pd.Series(test, index=data.loc[data['class'] == label].index) if label == 1: /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel_launcher.py:74: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel_launcher.py:75: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel_launcher.py:76: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

这段代码中出现了 `SettingWithCopyWarning` 警告，警告的原因是在对 DataFrame 进行切片操作之后，对切片对象进行了赋值操作，这可能会导致原 DataFrame 的值也被改变，进而导致错误的结果。建议使用 `.loc` 或 `.iloc` 进行切片并进行赋值操作，以避免这个警告的出现。你可以使用如下代码来避免这个警告：

if label == 1:
    final_data = pd.DataFrame({'class': final_data})
    data.loc[data['class'] == label, 'class'] = final_data['class']

C:\Users\Administrator\AppData\Local\Temp\ipykernel_31724\1778701916.py:2: 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 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy 动销比用数据['商品动销比']=动销比用数据['销售成本']/(动销比用数据['校正期初库存金额']+动销比用数据['采购金额']) C:\Users\Administrator\AppData\Local\Temp\ipykernel_31724\1778701916.py:3: 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 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy 动销比用数据['商品动销比范围']=动销比用数据['商品动销比'].apply(dxb)

这段代码可能是在对一个 pandas DataFrame 进行操作。第一行代码存在 SettingWithCopyWarning 警告，意味着对一个切片进行了赋值操作，建议使用 .loc[row_indexer,col_indexer] = value 来代替。不过代码本身并不完整，无法判断出现警告的原因。

第二行代码似乎是在给 DataFrame 添加了一个名为 '商品动销比' 的列，计算方法是将销售成本除以校正期初库存金额和采购金额之和。

第三行代码则是给 DataFrame 添加了一个名为 '商品动销比范围' 的列，计算方法是使用之前提到的函数 dxb 对 '商品动销比' 这一列进行处理。