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jbusecke avatar jbusecke commented on May 26, 2024

Hey @holivarez, sorry for the late reply. And thanks for using the package.

I think you are very close to what you want. Generally all you have to do is to wrap your plot into a function with the following signature:

func(ds, fig, tt, *args, **kwargs)

where ds is a dataset or dataarray, fig is a matplotlib.Figure, and tt is a logical timestep.

Similar to this example.

Let me know if this helps

from xmovie.

holivarez avatar holivarez commented on May 26, 2024

from xmovie.

jbusecke avatar jbusecke commented on May 26, 2024

If you have a fully reproducible example (e.g. a notebook with synthetic data that I can execute on my end), Id be happy to check it out and maybe have a quick zoom call if that helps.

from xmovie.

holivarez avatar holivarez commented on May 26, 2024

from xmovie.

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