3D Volume Plotting with Non-orthogonal Grid

📊 Plotly Python
1

I am trying to plot 3D scalar data on a non-orthogonal grid (this can be viewed as an affine transformation of a uniform orthogonal coordinate grid). However, plotly seems to not be able to handle this right now. Here is some code that reproduces this:

import numpy as np
from plotly.offline import plot
import plotly.graph_objects as go

grid_vecs = np.array([[-2.5, -2.16506, -3],
                      [5, 0, 0],
                      [2.5, 4.33012, 0],
                      [0, 0, 6]])

grid_x, grid_y, grid_z = np.mgrid[0.:1.:20j, 0.:1.:20j, 0.:1.:20j]

meshX = grid_vecs[1,0]*grid_x + grid_vecs[2,0]*grid_y + grid_vecs[3,0]*grid_z + grid_vecs[0,0]
meshY = grid_vecs[1,1]*grid_x + grid_vecs[2,1]*grid_y + grid_vecs[3,1]*grid_z + grid_vecs[0,1]
meshZ = grid_vecs[1,2]*grid_x + grid_vecs[2,2]*grid_y + grid_vecs[3,2]*grid_z + grid_vecs[0,2]

scalar = meshX**2+meshY**2+meshZ**2

fig= go.Figure(data=go.Volume(
    x=meshX.flatten(),
    y=meshY.flatten(),
    z=meshZ.flatten(),
    # x=grid_x.flatten(),
    # y=grid_y.flatten(),
    # z=grid_z.flatten(),
    value=scalar.flatten(),
    isomin=0,
    isomax=3,
    opacity=0.1,
    surface_count=12,
))

plot(fig)

When you set the x/y/z variables to be meshX/Y/Z, the plot axes will show, but no data appears. (However, when you switch the x/y/z variables to be grid_X/Y/Z, the data will render in a orthogonal grid.) Is there any current way to support 3D data on a non-orthogonal grid? Note that my full datasets are too large to interpolate onto an orthogonal grid.