The answer is in this GitHub issue. The key is to ensure that you have the ipywidgets notebook extension enabled using the following command: jupyter nbextension enable –py widgetsnbextension For the old JupyterLab 2.0 you’ll also need to install the JupyterLab extension: jupyter labextension install @jupyter-widgets/jupyterlab-manager For the old JupyterLab 2.0 installing the JupyterLab extension … Read more
Jupyter Lab does support interactive matplotlib through the jupyter-matplotlib extension. The installation procedure is slightly more involved, but works fine. Since the ipympl Jupyter Lab version requires NodeJS, and NodeJS requires Windows 8.1, ipympl also has this requirement. As before, it is important to invoke the iPython magic command before plotting: Usage: %matplotlib widget Installation: … Read more
JupyterLab 3.0+ Install jupyterlab and ipympl. For pip users: pip install –upgrade jupyterlab ipympl For conda users: conda update -c conda-forge jupyterlab ipympl Restart JupyterLab. Decorate the cell containing plotting code with the header: %matplotlib widget # plotting code goes here JupyterLab 2.0 Install nodejs, e.g. conda install -c conda-forge nodejs. Install ipympl, e.g. conda … Read more
Assuming your conda-env is named cenv, it is as simple as : $ conda activate cenv # . ./cenv/bin/activate in case of virtualenv (cenv)$ conda install ipykernel (cenv)$ ipython kernel install –user –name=<any_name_for_kernel> (cenv)$ conda deactivate If you restart your jupyter notebook/lab you will be able to see the new kernel available. For newer versions … Read more
adding to previous answers, to get the notebook name run the following in a cell: %%javascript IPython.notebook.kernel.execute(‘nb_name = “‘ + IPython.notebook.notebook_name + ‘”‘) this gets you the file name in nb_name then to get the full path you may use the following in a separate cell: import os nb_full_path = os.path.join(os.getcwd(), nb_name)