从父数据帧中选择子数据帧时,我注意到一些程序员使用该.copy()方法复制数据帧.
他们为什么要复制数据框?如果我不复制会怎么样?
我有一个 Pandas DataFrame,我想用以下代码更改列的所有值:
df["Population"] = round(df["Population"]/1000000,1)
Run Code Online (Sandbox Code Playgroud)
我收到以下警告:
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
return super().rename(
<ipython-input-6-59bf041bb022>: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
df["Population"] = round(df["Population"]/1000000,1)
Run Code Online (Sandbox Code Playgroud)
正确的做法是什么并避免此类警告?
感谢您的帮助!