Quick Start: importing plotly failed, warnings, different results

[MikeB2019x]

I am just doing the quick start and am following the procedures on this page. I have opened a notebook (7.50) and am running in Ubuntu in a conda env with Python==3.11. When I run

from neuralprophet import NeuralProphet

I get the following error:

/miniconda3/envs/neuralprophet/lib/python3.11/site-packages/lightning_fabric/__init__.py:41: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
Importing plotly failed. Interactive plots will not work.
Importing plotly failed. Interactive plots will not work.

Is this a known challenge and if so, is there a solution? I have tried plotly versions from 5.24 to 6.5. Same error.

Also there are now many warnings of this type:

WARNING - (py.warnings._showwarnmsg) - /home/michael.bourassa/miniconda3/envs/neuralprophet/lib/python3.11/site-packages/neuralprophet/plot_model_parameters_plotly.py:271: FutureWarning:

The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result.

WARNING - (py.warnings._showwarnmsg) - /home/michael.bourassa/miniconda3/envs/neuralprophet/lib/python3.11/site-packages/pytorch_lightning/utilities/data.py:78: UserWarning:

Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 10. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.

Yes, I can suppress warnings but it does mean at some point these will fail.

Finally, the end result is different. When plotting the forecasts this is what I get: