我的Jupyter笔记本电脑安装了python 2内核。我不明白为什么。我可能在安装的时候搞砸了。我已经安装了python 3。我怎么能把它加到木星上? 下面是默认的Jupyter使用python3 -m install Jupyter安装并在浏览器中使用Jupyter notebook打开的截图:
当前回答
sudo apt-get install python3-pip python3-dev
pip3 install -U jupyter
其他回答
当你使用conda管理你的python envs时,遵循以下两个步骤:
激活py3(在Windows上或在Linux上激活py3) Conda install notebook ipykernel或者直接使用Conda install jupyter
对于jupyter/ipython的最新版本:使用jupyter kernelspec
完整文档:https://ipython.readthedocs.io/en/latest/install/kernel_install.html
列出当前内核
$ jupyter kernelspec list
Available kernels:
python2 .../Jupyter/kernels/python2
python3 .../Jupyter/kernels/python3
在我的例子中,python3内核设置被破坏了,因为py3.5链接不再存在,取而代之的是py3.6
添加/删除内核
删除:
$ jupyter kernelspec uninstall python3
添加一个新的: 使用你想要添加的Python并指向运行jupiter的Python:
$ /path/to/kernel/env/bin/python -m ipykernel install --prefix=/path/to/jupyter/env --name 'python-my-env'
更多例子见https://ipython.readthedocs.io/en/6.5.0/install/kernel_install.html#kernels-for-different-environments
列表:
$ jupyter kernelspec list
Available kernels:
python3 /usr/local/lib/python3.6/site-packages/ipykernel/resources
python2 /Users/stefano/Library/Jupyter/kernels/python2
道格:https://jupyter-client.readthedocs.io/en/latest/kernels.html kernelspecs
细节
可用的内核列在Jupyter DATA DIRECTORY的Kernels文件夹下(详情请参阅http://jupyter.readthedocs.io/en/latest/projects/jupyter-directories.html)。
例如,在macosx上,应该是/Users/YOURUSERNAME/Library/Jupyter/kernels/
内核被简单地描述为内核。Json文件,例如。/用户/我/图书馆/ Jupyter /内核/ python3 / kernel.json
{
"argv": [
"/usr/local/opt/python3/bin/python3.5",
"-m",
"ipykernel",
"-f",
"{connection_file}"
],
"language": "python",
"display_name": "Python 3"
}
您可以使用kernelspec命令(如上所述),而不是手动操作。以前可以通过ipython使用,现在可以通过jupyter (http://ipython.readthedocs.io/en/stable/install/kernel_install.html#kernels-for-different-environments - https://jupyter-client.readthedocs.io/en/latest/kernels.html#kernelspecs)使用。
$ jupyter kernelspec help
Manage Jupyter kernel specifications.
Subcommands
-----------
Subcommands are launched as `jupyter kernelspec cmd [args]`. For information on
using subcommand 'cmd', do: `jupyter kernelspec cmd -h`.
list
List installed kernel specifications.
install
Install a kernel specification directory.
uninstall
Alias for remove
remove
Remove one or more Jupyter kernelspecs by name.
install-self
[DEPRECATED] Install the IPython kernel spec directory for this Python.
To see all available configurables, use `--help-all`
其他语言的内核
顺便说一下,与这个问题没有严格联系,但有很多其他可用的内核…https://github.com/jupyter/jupyter/wiki/Jupyter-kernels
我也面临着同样的问题。每当我使用以下命令启动jupyter notebook时,我都不会看到创建一个新的Python 3 notebook的选项。
我通过运行以下命令解决了这个问题。
pip install notebook
之后,我开始笔记本与相同的命令之前
jupyter notebook
我能够看到我的主目录并创建新的python3笔记本。
Here's a Windows/non command line method I found, which worked for me: Find the folder where the kernel files are stored (on my machine - C:\ProgramData\jupyter\kernels - note that ProgramData is a hidden folder), create a copy of the existing kernel's folder, change the name and edit the json file within to point to the new kernel's directory. In this json you can also edit the kernel name that is displayed in ipython (e.g. instead of just python 2 you can specify 2.7.9 if you need to further distinguish for some reason).
最短最好的解决方案
conda create --name py3-ml python=3.6
conda install ipykernel
source activate py3-ml # or conda activate py3-ml
python -m ipykernel install --user --name py3-ml
推荐文章
- 检查pandas数据框架索引中是否存在值
- Ipython笔记本清除单元格输出代码
- tqdm在Jupyter笔记本重复打印新的进度条
- 折叠单元在jupyter笔记本
- 如何知道哪个Python在Jupyter笔记本上运行?
- 使用Python 3在Jupyter Notebook中使用相对导入从位于另一个目录中的模块导入本地函数
- 如何嵌入HTML到IPython输出?
- Python和IPython的区别是什么?
- 如何从终端运行。ipynb Jupyter Notebook ?
- 移除jupyter笔记本上的内核
- 如何使用列的格式字符串显示浮动的熊猫数据帧?
- 使用Python 2。3. Python。IPython Notebook中的x
- 如何加载/编辑/运行/保存文本文件(.py)到IPython笔记本细胞?
- 在安装pip后,“jupyter:命令未找到”
- 在IPython中自动重载模块