Can you make a violinplot using only one data point and the quantiles calculated in python?

Question

I have a model that makes a prediction and intervals for the prediction of wine prices in python. To this i need som visualization of the finished product.

I'm wondering if it's possible to create a violin plot using only one data point and the interval as it is what my model does. I have done this for a boxplot, but wanted to have a different visualization.

I have created a boxplot this way using stats this way where price, q1, q3, interval_lower and interval_upper are all single datapoints that the model predicts:

stats = [{

"med": price,

"q1": q1,

"q3": q3,

"whislo": interval_lower,  # required

"whishi": interval_upper,  # required

"fliers": []  # required if showfliers=True

}]

fs = 10  # fontsize

fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(6, 6), sharey=True)

bp = axes.bxp(stats, patch_artist=True)

axes.set_title('Boxplot for wine prediction', fontsize=fs,color='Blue')

plt.show(bp)

This works fine for boxplots, but i cannot find a way to use violinplot in the same way. Does anyone know a way to do this? I'm using jupyter notebook for python.