Boxplot with precomputed quartiles without displaying data

📊 Plotly Python
1

I’m following the instructions in the ‘Precomputed Quartiles’ section, but want to build the plots without displaying the data. How would I do that?

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(go.Box(y=[
        [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ],
        [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ],
        [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ]
      ], name="Precompiled Quartiles"))

fig.update_traces(q1=[ 1, 2, 3 ], median=[ 4, 5, 6 ],
                  q3=[ 7, 8, 9 ], lowerfence=[-1, 0, 1],
                  upperfence=[5, 6, 7], mean=[ 2.2, 2.8, 3.2 ],
                  sd=[ 0.2, 0.4, 0.6 ], notchspan=[ 0.2, 0.4, 0.6 ] )

fig.show()
2

So it appears that it’s as simple as adding the boxpoints = False argument.

fig = go.Figure()

fig.add_trace(go.Box(y=[
        [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ],
        [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ],
        [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ]
      ], name="Precompiled Quartiles", boxpoints=False,)
      )

fig.update_traces(q1=[ 1, 2, 3 ], median=[ 4, 5, 6 ],
                  q3=[ 7, 8, 9 ], lowerfence=[-1, 0, 1],
                  upperfence=[5, 6, 7], mean=[ 2.2, 2.8, 3.2 ],
                  sd=[ 0.2, 0.4, 0.6 ], notchspan=[ 0.2, 0.4, 0.6 ] )

fig.show()

However, it would be more elegant if there’s a way to not have to specify the data, since it’s dummy data and not used.