Error displaying animation

JupyterLab
1

Right now I can run, for example, the following code:

import numpy as np
import math
import hypertools as hyp
%matplotlib inline
arr = np.array( [[math.sin(3*i/100), math.cos (3*i/100), (1/100)**2, (i/100)**3, 1/(1+i/100)] for i in range(0,300)])
hyp.plot(arr)

That works. I’d like to do

hyp.plot(arr, animate=True)

but that returns an error:
Javascript Error: IPython is not defined

Can anyone tell me how to get this to work? I’m using jupyterlab 4.2.3

2

This is incomplete code or the formatting got messed up because you didn’t use fenced code blocks to share code. (I get SyntaxError: invalid decimal literal concerning the 3i in arr = np.array( [[math.sin(3i/100), math.cos (3i/100), (1/100)**2, (i/100)**3, 1/(1+i/100)] for i in range(0,300)]).) And so I cannot actually test before suggesting things.

I suspect though you are looking to install and use ipympl. See here above the ’ Optional version with a player controller …’ section. You’ll need to transpose it to your code. It should mainly mean changing things to add %matplotlib ipympl at the start of the cell with the animation.

3

Sorry, here it is again properly (and I edited the original post to fix it)

import numpy as np
import math
import hypertools as hyp
%matplotlib inline
arr = np.array( [[math.sin(3*i/100), math.cos (3*i/100), (1/100)**2, (i/100)**3, 1/(1+i/100)] for i in range(0,300)])
hyp.plot(arr)

I tried using %matplotlib ipympl but I get the same error

4

It was supposedly fixed in response to this issue report here.
And I know how to get it working for now in fresh sessions via MyBinder:
The additional trick NOW, beyond what is stated here, is you need to specify numpy>=1.10.4 but not 2.0 or above. If you use numpy 2.0 or above, you get AttributeError: np.string_was removed in the NumPy 2.0 release. Usenp.bytes_ instead..
I found v1.26.4 is just fine and here is how you can test using hypertools animation via sessions on MyBinder right now:

  1. Go here and click on launch binder to get a session with ipympl already installed.

  2. When the session comes up, open a new terminal window using the launcher & run in the terminal the following:

    pip install numpy==1.26.4

  3. Next in that terminal run the following, based on the advice given here:

    pip install git+https://github.com/ContextLab/hypertools.git

  4. Now using the launcher open a new Jupyter Notebook and in the first cell paste this code and run it:

    %matplotlib ipympl
import math
import hypertools as hyp
import numpy as np
arr = np.array( [[math.sin(3*i/100), math.cos (3*i/100), (1/100)**2, (i/100)**3, 1/(1+i/100)] for i in range(0,300)])
hyp.plot(arr, animate=True)

    You’ll see an animation!

Alternatively, you can go here and use Jeremy Tuloup’s (jtpio) related gist to launch a MyBinder session that doesn’t include ipympl already installed. (As of September 2024 it also has older Python; currently 3.10.14, but it works fine with this process.) Then follow the steps above, until you get to through step #3. You’ll just need to do a hard refresh in the browser window after the step pip install git+https://github.com/ContextLab/hypertools.git, which includes installing ipympl, and before launching a new notebook. That refresh step in Chrome on a Mac is Command + Shift R. I think on Windows it is Shift + F5. Then after the refresh, you can finish the steps above in that session.