VSCode Jupyter 加载错误版本的 python

Question

VSCode 的 Jupyter 实际上并没有运行它在屏幕左下方显示的 python 版本。

下面，它声称运行的是 3.9.1，但单元格的输出显示它确实运行的是 3.7.9。

我通过Select environment to start Jupyter Server选择了显示的rl环境。

什么不起作用：

• 重新启动 Jupyter 内核
• 选择不同的环境（无论环境的 python 是什么，它们实际上都运行 3.7.9）

额外信息：

Python 输出：

> conda --version
> pyenv root
> python3.7 ~/.vscode/extensions/ms-python.python-2020.12.424452561/pythonFiles/pyvsc-run-isolated.py -c "import sys;print(sys.executable)"
> python3.6 ~/.vscode/extensions/ms-python.python-2020.12.424452561/pythonFiles/pyvsc-run-isolated.py -c "import sys;print(sys.executable)"
> python3 ~/.vscode/extensions/ms-python.python-2020.12.424452561/pythonFiles/pyvsc-run-isolated.py -c "import sys;print(sys.executable)"
> python2 ~/.vscode/extensions/ms-python.python-2020.12.424452561/pythonFiles/pyvsc-run-isolated.py -c "import sys;print(sys.executable)"
> python ~/.vscode/extensions/ms-python.python-2020.12.424452561/pythonFiles/pyvsc-run-isolated.py -c "import sys;print(sys.executable)"
> ~/.local/share/miniconda3/envs/rl/bin/python ~/.vscode/extensions/ms-python.python-2020.12.424452561/pythonFiles/pyvsc-run-isolated.py -c "import sys;print(sys.executable)"
> conda info --json
Starting Pylance language server.
Python interpreter path: ~/.local/share/miniconda3/envs/rl/bin/python
> conda env list
> conda env list

是的，最后列出的解释器确实是 v3.9.1：

% ~/.local/share/miniconda3/envs/rl/bin/python --version
Python 3.9.1

Jupyter 输出：

User belongs to experiment group 'jupyterTest'
> ~/.local/share/miniconda3/envs/rl/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py -c "import ipykernel"
> ~/.local/share/miniconda3/envs/nndl/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py -c "import notebook"
> ~/.local/share/miniconda3/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py -c "import ipykernel"
> ~/.local/share/miniconda3/envs/nndl/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py -c "import jupyter"
> ~/.local/share/miniconda3/envs/nndl/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py jupyter kernelspec --version
> ~/.local/share/miniconda3/envs/nndl/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v
> ~/.local/share/miniconda3/envs/nndl/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v
> ~/.local/share/miniconda3/envs/nndl/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v
> ~/.local/share/miniconda3/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.kernel_launcher_daemon -v
> ~/.local/share/miniconda3/envs/rl/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.kernel_launcher_daemon -v
Started kernel Python 3
> ~/.local/share/miniconda3/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2020.12.414227025/pythonFiles/pyvsc-run-isolated.py vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.kernel_launcher_daemon -v

最后列出的这个 python 是不正确的、未选择的版本：

% ~/.local/share/miniconda3/bin/python --version
Python 3.7.9

当正确的~/.local/share/miniconda3/envs/rl/bin/python 直接在上面列出时，为什么要使用这个版本？

Answer 1

最终对我有用的是：

1. 关闭 VSCode
2. 在.ipynb 窗格的右上角，将 Python 版本更改为所需的 conda 环境
3. 启动内核

更改内核然后重新启动它似乎不起作用。

Answer 2

在VSCode中，Jupyter notebook的Python环境是独立的，它默认使用我们上次选择的Python环境。我们可以点击右上角的“Python3: Idle”，切换到Python3.9环境。

切换Python环境后请重新加载VSCode，使Jupyter重新加载对应的内核。

Answer 3

https://www.it-swarm-vi.com/vi/python/ipynb-nhap-tap-tin-ipynb-khac/1042793988/

!pip install import_ipynb`enter code here`
!pip install ipynb

import import_ipynb
import ipynb

from ipynb.fs.full.tim_folder import tim_folder