You just have the wrong order of your commands. A backend should be set before importing pyplot in jupyter. Or in other words, after changing the backend, pyplot needs to be imported again. Therefore call %matplotlib … prior to importing pyplot. In first cell: %matplotlib inline import matplotlib.pyplot as plt plt.plot([1,1.6,3]) In second cell: %matplotlib … Read more
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
As you want to change the figure, instead of creating a new one, may I suggest the following way: Use an interactive backend; %matplotlib notebook Update the line in the plot, instead of drawing new ones. So the code could look something like this: %matplotlib notebook from ipywidgets import * import numpy as np import … Read more
change the ownership of the ~/.local/share/jupyter directory from root to user. sudo chown -R user:user ~/.local/share/jupyter see here: https://github.com/ipython/ipython/issues/8997 The first user before the colon is your username, the second user after the colon is your group. If you get chown: [user]: illegal group name, find your group with groups, or specify no group with … Read more
With the new version of ipywidgets, I ran into this problem, but then I found on their github readme that you now need to follow pip install ipywidgets with jupyter nbextension enable –py widgetsnbextension Note: To those using virtual environments (including conda environments) the recommended way to activate the extension is to run jupyter nbextension … Read more
(updated 2019, removed unnecessarily costly method) Just do: from IPython.display import Video Video.from_file(“test.mp4”) If you get an error No video with supported format or MIME type found, just pass embed=True to the function: Video(“test.mp4”, embed=True). Or if you want to use the HTML element: from IPython.display import HTML HTML(“”” <video alt=”test” controls> <source src=”test.mp4″ type=”video/mp4″> … Read more
Python variables can be accessed in the first line of a %%bash or %%script cell, and so can be passed as command line parameters to the script. For example, with bash you can do this: %%bash -s “$myPythonVar” “$myOtherVar” echo “This bash script knows about $1 and $2” The -s command line option allows you … Read more
The following is very unsafe, but you can remove the password completely with: jupyter notebook –ip=’*’ –NotebookApp.token=” –NotebookApp.password=” Without –NotebookApp.password=”, when connecting from a remote computer to a local Jupyter launched simply with: jupyter notebook –ip=’*’ it still asks for a password for security reasons, since users with access can run arbitrary Python code on … Read more
nbconvert 6.0 should fix –clear-output The option had been broken for a long time previously, bug report with merged patch: https://github.com/jupyter/nbconvert/issues/822 Usage should be for in-place operation: jupyter nbconvert –clear-output –inplace my_notebook.ipynb Or to save to another file called my_notebook_no_out.ipynb: jupyter nbconvert –clear-output \ –to notebook –output=my_notebook_no_out my_notebook.ipynb This was brought to my attention by … Read more
There is an extension called Hinterland for jupyter, which automatically displays the drop down menu when typing. There are also some other useful extensions. In order to install extensions, you can follow the guide on this github repo. To easily activate extensions, you may want to use the extensions configurator.