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paddyroddy opened this issue Aug 5, 2020 · 7 comments
Closed

slight change in surface opacity changes image completely #2690

paddyroddy opened this issue Aug 5, 2020 · 7 comments

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@paddyroddy
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I need to adjust the opacity of a surface, so I can overlay two surfaces on top of each other (not sure how else to do that). But on a very small change from 1 to slightly below the look of the plot changes a lot.

opacity=1
image

opacity=0.99999
image

import numpy as np
from plotly.graph_objs import Figure, Surface

x = np.array(
    [
        [0, 0, 0, 0, 0, 0, 0, 0, 0],
        [
            7.07106781e-01,
            0.5,
            4.32978028e-17,
            -0.5,
            -7.07106781e-01,
            -0.5,
            -1.29893408e-16,
            0.5,
            7.07106781e-01,
        ],
        [
            1,
            7.07106781e-01,
            6.12323400e-17,
            -7.07106781e-01,
            -1,
            -7.07106781e-01,
            -1.83697020e-16,
            7.07106781e-01,
            1,
        ],
        [
            7.07106781e-01,
            0.5,
            4.32978028e-17,
            -0.5,
            -7.07106781e-01,
            -0.5,
            -1.29893408e-16,
            0.5,
            7.07106781e-01,
        ],
        [
            1.22464680e-16,
            8.65956056e-17,
            7.49879891e-33,
            -8.65956056e-17,
            -1.22464680e-16,
            -8.65956056e-17,
            -2.24963967e-32,
            8.65956056e-17,
            1.22464680e-16,
        ],
    ]
)
y = np.array(
    [
        [0, 0, 0, 0, 0, -0, -0, -0, 0],
        [0, 0.5, 7.07106781e-01, 0.5, 8.65956056e-17, -0.5, -7.07106781e-01, -0.5, 0],
        [
            0,
            7.07106781e-01,
            1,
            7.07106781e-01,
            1.22464680e-16,
            -7.07106781e-01,
            -1,
            -7.07106781e-01,
            0,
        ],
        [0, 0.5, 7.07106781e-01, 0.5, 8.65956056e-17, -0.5, -7.07106781e-01, -0.5, 0],
        [
            0,
            8.65956056e-17,
            1.22464680e-16,
            8.65956056e-17,
            1.49975978e-32,
            -8.65956056e-17,
            -1.22464680e-16,
            -8.65956056e-17,
            0,
        ],
    ]
)
z = np.array(
    [
        [1, 1, 1, 1, 1, 1, 1, 1, 1],
        [
            7.07106781e-01,
            7.07106781e-01,
            7.07106781e-01,
            7.07106781e-01,
            7.07106781e-01,
            7.07106781e-01,
            7.07106781e-01,
            7.07106781e-01,
            7.07106781e-01,
        ],
        [
            6.12323400e-17,
            6.12323400e-17,
            6.12323400e-17,
            6.12323400e-17,
            6.12323400e-17,
            6.12323400e-17,
            6.12323400e-17,
            6.12323400e-17,
            6.12323400e-17,
        ],
        [
            -7.07106781e-01,
            -7.07106781e-01,
            -7.07106781e-01,
            -7.07106781e-01,
            -7.07106781e-01,
            -7.07106781e-01,
            -7.07106781e-01,
            -7.07106781e-01,
            -7.07106781e-01,
        ],
        [-1, -1, -1, -1, -1, -1, -1, -1, -1],
    ]
)
data = [Surface(x=x, y=y, z=z, surfacecolor=np.ones(x.shape), opacity=0.99999)]
fig = Figure(data=data)
fig.show()

sorry about the numbers, they've been generated by some external library

my actual use case is like this where there are weird lines appearing on the plot by setting opacity
image
@nicolaskruchten
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@archmoj can you comment please?

@archmoj
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archmoj commented Aug 6, 2020

@paddyroddy could you please set the opacity to 0.25 or 0.5 and share new screenshots?

@paddyroddy
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opacity=0.5
image

and in my more complicated use-case with opacity=0.5
image

@archmoj
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archmoj commented Aug 6, 2020

Here is a demo in codepen.
Wondering if you tried using mesh3d instead of surface plot for that kind of geometry?

@archmoj
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archmoj commented Aug 6, 2020

This could possibly be fixed/improved by plotly/plotly.js#4643.
But at the moment I don't see that PR being merged in near feature.

@paddyroddy
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Here is a demo in codepen.
Wondering if you tried using mesh3d instead of surface plot for that kind of geometry?

thanks, no I haven't. My actual data is spherical (the example was low resolution) and isn't one uniform colour I have a surfacecolor passed to it. So not sure whether mesh3d would achieve the same thing

@gvwilson
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Hi - we are trying to tidy up the stale issues and PRs in Plotly's public repositories so that we can focus on things that are still important to our community. Since this one has been sitting for several years, I'm going to close it; if it is still a concern, please add a comment letting us know what recent version of our software you've checked it with so that I can reopen it and add it to our backlog. Thanks for your help - @gvwilson

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4 participants
@nicolaskruchten @gvwilson @paddyroddy @archmoj