interactive plot doesn't seem to work

[researcherofreality]

I tried making an interactive plot but didn't work.

Running the following, given in the example:

`import cebra

import numpy as np

X = np.random.uniform(0, 1, (100, 50))

y = np.random.uniform(0, 10, (100, 5))

cebra_model = cebra.CEBRA(max_iterations=10)

cebra_model.fit(X, y)

embedding = cebra_model.transform(X)

cebra_time = np.arange(X.shape[0])

plt.figure(figsize=((10,8)))

fig = cebra.plot_embedding_interactive(embedding, embedding_labels=cebra_time)`

returns <Figure size 500x500 with 0 Axes>. I have plotly installed, so not sure what the issue might be.

[researcherofreality]

Woops, sorry for this.

It worked for one plot - why I closed the issue - but now it seems to have stopped plotting. It just returns the same output as before.

I was running it from a jupyter notebook and there it plotted just once. running it from the command line in python it does return the figure details but doesn't actually plot.

Any help :)?

[CeliaBenquet]

Hi @researcherofreality,
You're right that the code in the example doesn't plot the interactive plot as it only creates the plot and "store" it in the fig variable.

To be able to visualize the plot, you can either:

• add the line fig.show() after your code and you can remove plt.figure(figsize=((10,8))).
• remove the fig= part and just have cebra.plot_embedding_interactive(embedding, embedding_labels=cebra_time) as the last line of your cell and you can remove plt.figure(figsize=((10,8))).
• if you want to add axes, etc and keep plt.figure(figsize=((10,8))), you need to pass the figure to the function, that would be something like:

fig, ax = plt.subplots(1, 1, figsize=(10, 8))
ax = cebra.plot_embedding_interactive(embedding, embedding_labels=cebra_time, axis=ax)
# [...]
fig.show()

Let me know if that works for you, from the code you provided, I get that -- really sparse but interactive 😉 -- embedding.

[researcherofreality]

Great, thank you for the help!

[CeliaBenquet]

I will close the issue if that solved it for you 😉 Thanks for using CEBRA! 🙌