在虚拟环境中运行时,jupyter在哪里存储内核规范和其他数据?
(我对 df.rename(columns={'High':'high',
'Low':'low',
'Open':'open',
'Close':'close',
'Volume':'volume',
'Adj Close':'adj close'}, inplace=True)
df.rename(index = {'Date':'date'}, inplace=True)
环境感兴趣,但是了解其他类型的虚拟环境也会很有趣)。
答案 0 :(得分:0)
我想我找到了。
在虚拟环境中,可以运行
jupyter --paths
,然后将会看到jupyter locations(对于安装在当前活动环境中的jupyter
)。
类似的东西:
config:
/home/<user>/.jupyter
/home/<user>/anaconda3/envs/<this-env>/etc/jupyter
/usr/local/etc/jupyter
/etc/jupyter
data:
/home/<user>/.local/share/jupyter
/home/<user>/anaconda3/envs/<this-env>/share/jupyter
/usr/local/share/jupyter
/usr/share/jupyter
runtime:
/home/<user>/.local/share/jupyter/runtime
kernelspecs所在的目录为/home/<user>/anaconda3/envs/<this-env>/share/jupyter/kernels