Box plots, custom quantiles not working

📊 Plotly Python
1

I have the following cell in a jupyter notebook (inspired by https://plotly.com/python/box-plots/#fully-styled-box-plots):

import plotly.graph_objects as go


N = 50

y = [(10 * np.random.randn(N) + i) for i in range(16)]

fig3 = go.Figure()


# add traces
for i in range(16):
    trace = go.Box(y=y[i],              
                   boxpoints="all",
                   notched=True,
                   jitter=0.8,
                   whiskerwidth=1,
                   fillcolor=rainbow_colors[i],
                   marker_size=2,
                   pointpos=-2,
                   line_width=1,
                   marker_color = rainbow_colors[i], 
                   line_color="black",
                   )
    fig3.add_trace(trace)


fig3.update_layout(
    title='Some Values',
    yaxis=dict(
        autorange=True,
        showgrid=True,
        zeroline=True,
        dtick=10,
        gridcolor='rgb(255, 255, 255)',
        gridwidth=1,
        zerolinecolor='rgb(255, 255, 255)',
        zerolinewidth=2,
    ),
    margin=dict(
        l=40,
        r=30,
        b=80,
        t=100,
    ),
    
    paper_bgcolor='rgb(243, 243, 243)',
    plot_bgcolor='rgb(243, 243, 243)',
    showlegend=True
)

fig3.show()

image
image752×413 37.5 KB

Now I want to set the quantiles manually as in https://plotly.com/python/box-plots/#box-plot-with-precomputed-quartiles
No matter what I try though, it does not work.

When I add

 q1=[i-10],
 q3=[i+10],
 median=[0],
 orientation="v"

to the Box-parameters, each box has the quantiles set correctly. However the boxes are then all stacked on top of each other and datapoints are not drawn either:

image
image744×384 7.83 KB

I want to retain the former representation of data but with custom quantiles. Is that possible?

Thank you