Px.histogram `histnorm='percent'` incorrect when also using `colors`

📊 Plotly Python
1

When I use px.histogram with a histnorm parameter set to percent or probability, but I also use color, the graph looks incorrect, with percentage above 100%.
It seems that the probability is only calculated for that given bin for values that are in the given set of values delimited by the color.

queue_distribution_2pw
queue_distribution_2pw1920×1080 75 KB 

  additional_params = dict(
     color='prewarmed',
     pattern_shape='prewarmed_slot',
     category_orders=dict(
        prewarmed=[True, False],
        prewarmed_slot=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "None", None])
    )

  fig = px.histogram(df, 
    x='queued_duration',
    histnorm='percent',
    **additional_params)

This seems to be in contradiction with the definition (from the documentation):
If `'percent'` , the output of `histfunc` for a given bin is divided by the sum of the output of `histfunc` for all bins and multiplied by 100.
There is no mention of color or any other parameter affecting that calculation.

Is there a way to ensure that colors can be used together with a meaningful “all-data” histnorm?

Also, does anyone know why the pattern_shape is not working? I’m using Plotly 5.10