How to use slicer partly on a python script based boxplot?

[bsz_29]

Figure 1. python implication of the problem

Hi, I want to make a visual on PBI based on the figure above. My dataset is like this:

Figure 2. dataset overview

So visual will show overall mean smape distribution among the data, but also a spesific 'series's mean smape value' that are selected via 'Series Slicer'.

To be more spesific, I want to choose one series from the slicer and want distribution to stay the same but highlight the point of the series' mean smape in the visual, just like in the first figure. 

My boxplot's python script code is below:

# The following code to create a dataframe and remove duplicated rows is always executed and acts as a preamble for your script: 

# dataset = pandas.DataFrame(series, mean smape)
# dataset = dataset.drop_duplicates()

# Paste or type your script code here:
import seaborn as sns
import matplotlib.pyplot as plt
sns.boxplot(y=dataset['mean smape'])
plt.show()

I hope I manage to make the problem clear. Appreciate your help!

Best regards.

[lbendlin]

When you apply  filters in your data model to the fields in your Python visual the visual will recalculate accordingly and re-plot.