Question in "Marginalized Gaussian Mixture Model"

Questions
1

I was trying to sample from the model’s posterior predictive distribution, as in following URL.
Marginalized Gaussian Mixture Model
https://docs.pymc.io/notebooks/marginalized_gaussian_mixture_model.html

I used the same code except my seaborn parameters.
What is a cause of this duplicated plot?

Thank you in advance.

↓Result I got.

example
example.png6400×4800 368 KB

↓Expected result.
notebooks_marginalized_gaussian_mixture_model_17_1

2

You should get something like (see the updated doc)
image
As the posterior predictive distribution contains uncertainties.
You can computed the mean of the posterior predictive samples if you would like to have a plot like “Expected result”