I have the latest/updated Anaconda package. Everytime I try to plot something using python 3.6.6 I get the following error in JupyterLab...

Javascript Error: IPython is not defined

When I run the same code in Spyder using an ipython kernel, it works just fine. Have been looking all over online but cant seem to figure out what is going on. Any help would be appreciated.

6 Answers

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:

Note: If using this extension with Jupyter Lab, it's recommended to use a version >= 3. For more detailed instructions on installing an old extension than below, see the instructions on ipympl github.

Using conda

conda install -c conda-forge ipympl # If using JupyterLab 2 conda install nodejs jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter lab build # Later, if updating a previous Lab install: conda install ipympl jupyter lab build 

Using pip

pip install ipympl # If using JupyterLab 2 pip install nodejs jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter labextension install jupyter-matplotlib 

Jupyter Lab does support interactive matplotlib through the jupyter-matplotlib extension. See TomNorway's answer.

Alternatively, you can configure matplotlib to use inline instead. inline is not as powerful as interactive, but it can save you.

To use inline, add this line before plot the graph:

 %matplotlib inline 

More Info

1. Jupyterlab supports jpympl.

2. You must put %matplotlib widget in the very beginning of the jupyterlab.

You can change to %matplotlib inline in specific cell, and active %matplotlib widget again if needed.

Otherwise, no matter how many times you reinstall the package, you will still get the errors.

I could solve the same problem by installing ipympl:

pip install ipympl 

And then add %matplotlib ipympl before plot.

Encountered similar issue when using backtrader. This fixed it for me:

cerebro.plot(iplot = False) 

I was getting Ipython not defined in jupyter notebook when I tried to display a html formated content in my jupyter notebook, I just imported the function and it worked

from IPython.core.display import display, HTML # my imports annot = coco_dataset.display_image(21, use_url=False) #my function return a html page HTML(annot) # used for displaying the page