我安装了Anaconda(使用Python 2.7)，并在一个名为Tensorflow的环境中安装了Tensorflow。我可以在这个环境中成功导入Tensorflow。
问题是Jupyter Notebook无法识别我刚刚创建的新环境。无论我是从GUI Navigator还是tensorflow env中的命令行启动Jupyter Notebook，菜单中只有一个名为Python [Root]的内核，并且不能导入tensorflow。当然，我多次点击这个选项，保存文件，重新打开，但这些都没有帮助。
奇怪的是，当我打开Jupyter首页上的Conda标签时，我可以看到这两个环境。但是当我打开文件选项卡，并尝试新建一个笔记本时，我仍然只有一个内核。
我看了这个问题:
连接Conda环境与Jupyter Notebook
但是在我的电脑上没有~/Library/Jupyter/kernels这样的目录!这个Jupyter目录只有一个称为runtime的子目录。
我真的很困惑。Conda环境应该自动成为内核吗?(我在https://ipython.readthedocs.io/en/stable/install/kernel_install.html上手动设置了内核，但被告知没有找到ipykernel。)
对于conda 4.5.12，适用于我的是(我的虚拟环境被称为nwt)
conda create --name nwt python=3
之后，我需要激活虚拟环境并安装ipykernel
activate nwt
pip install ipykernel
那么对我有效的方法是:
python -m ipykernel install --user --name env_name --display-name "name of your choosing."
例如，我使用'nwt'作为虚拟env的显示名称。在运行上面的命令之后。再次在Anaconda Prompt中运行“jupyter notebook”。我得到的是:
This has been so frustrating, My problem was that within a newly constructed conda python36 environment, jupyter refused to load “seaborn” - even though seaborn was installed within that environment. It seemed to be able to import plenty of other files from the same environment — for example numpy and pandas but just not seaborn. I tried many of the fixes suggested here and on other threads without success. Until I realised that Jupyter was not running kernel python from within that environment but running the system python as kernel. Even though a decent looking kernel and kernel.json were already present in the environment. It was only after reading this part of the ipython documentation:
https://ipython.readthedocs.io/en/latest/install/kernel_install.html#kernels-for-different-environments
and using these commands:
source activate other-env
python -m ipykernel install --user --name other-env --display-name "Python (other-env)"
我能让一切顺利进行。(我实际上没有使用-user变量)。
我还没有想到的一件事是如何将默认的python设置为“python (other-env)”。目前，从主屏幕打开的现有.ipynb文件将使用系统python。我必须使用内核菜单“更改内核”来选择环境python。
