graph_objs.volume and .isosurface not rendering non-cuboid

I'm trying to use plotly in a dash app to render a cuboid, that's sheared to the y-axis.=it has a parallelogram as ground surface. It consists of individual points, each with a density value. plotly_express.scatter_3d renders the individual points correctly, but only has "2 views" when rotating it:

• One where the closest face is rendered
• -> you can't look inside very well
• One where both the closest face and the inside of the structure are not rendered
• -> you can only see the 2 rear side faces, but from the inside

With both, I'm losing a lot of information on the insides of my structure.
I think scatter_3d doesn't allow for

• a) all points to stay rendered at all times
• b) me to link each individual points opacity to its density value (like it does with color)¹

Best looking solution would be graph_objs.Volume or .isosurface, but they have an issue.

So far, the coordinates data had to be arranged to form an orthogonal cuboid, to render a volume.
My test data is not the same y-sheared cuboid I want to achieve, but it illustrates the issue of both graph_objs.

Test Data:
Using plotly_express.scatter_3d() for comparison, the following dataframe shows both Figures rendering the expected result:

DF = pd.DataFrame(data={
    'x': [0, 0, 0, 0, 0, 0, 1,1,1,1,1,1],
    'y': [0,0,0,1,1,1,0,0,0,1,1,1],
    'z': [0,1,2,0,1,2,0,1,2,0,1,2],
    'val': [1,1,1,1,1,1,1,1,1,1,1,1]})

scatter plot:

volume plot:

When removing 2 points at (0/1/2) & (1/1/2) -

DF = pd.DataFrame(data={
    'x': [0, 0, 0, 0, 0, 1,1,1,1,1],
    'y': [0,0,0,1,1,0,0,0,1,1],
    'z': [0,1,2,0,1,0,1,2,0,1],
    'val': [1,1,1,1,1,1,1,1,1,1]})

• go.Volume breaks.

scatter plot:

volume plot:

scatter_3d figure:

px.scatter_3d(
    DF,
    x='x',
    y='y',
    z='z',
    color='val',
    opacity=0.5,
    color_continuous_scale=px.colors.sequential.Inferno_r,
    range_color=[df.min()['val'], df.max()['val']],
    template=templ)

opacity doesn't take lists/ranges, so I can't use DF.val there.

Volume figure:

go.Figure(data=go.Volume(
    x=DF.x,
    y=DF.y,
    z=DF.z,
    value=DF.val,
    opacity=0.3,
    surface_count=17,
    colorscale=px.colors.sequential.Inferno_r
))

I played around with surface_count, but it doesn't seem to be causing the problem.

My 2 points being:

• go.Volume/.isosurface don't work if angles of !=90° are involved
• px.scatter_3d deserves some more configuration-options, especially opacity-wise

Riprodurre gli esempi forniti di plotly_express.scatter_3d e go.Volume, inclusi i dataset completi e i dataset con punti mancanti. Iniziare dagli entry point go.Volume e go.Isosurface e confrontare il loro comportamento con coordinate deformate e punti mancanti. Done deve stabilire se questi input sono supportati e risolvere o documentare chiaramente la limitazione di rendering osservata.