小编ide*_*uan的帖子

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)

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)

正确的做法是什么并避免此类警告？

感谢您的帮助！

我有一个 Jupyter Notebook，我想使用一些放入 config.py 文件中的凭据。该文件与 Jupyter Notebook 位于同一文件夹中。

我用的是线

import config

问题是 Jupyter 回复了以下消息：

ModuleNotFoundError: No module named 'config.py'; 'config' is not a package

感谢您的帮助