Facecolor colourscale in mesh3D R plotly

Plotly R, MATLAB, Julia, Net Plotly R
1

Hi

Does anyone know how to put a colour bar on a 3D plot, using Mesh 3D, based on the colour intensity of the facecolour asthetic?

Here is my code

p1 <- plot_ly(
x = points[, 1], y = points[, 2], z = points[, 3],

i = faces[, 1]-1, j = faces[, 2]-1, k = faces[, 3]-1,

type = “mesh3d”,

facecolor = face$colour,

)

where facecolour is the colour of each triangle based on something measured at each vertice (but not the actual x,y or z vertice itself)

face$colour[zmean<= 0.5] <- "#800026"
face$colour[zmean> 0.5 & zmean<=0.6] <- "#bd0026"
face$colour[zmean> 0.6 & zmean<=0.7] <- "#e31a1c"
face$colour[zmean> 0.7 & zmean<=0.8] <- "#fc4e2a"
face$colour[zmean> 0.8 & zmean<=0.9] <- "#fd8d3c"
face$colour[zmean> 0.9 & zmean<=1] <- "#feb24c"
face$colour[zmean> 1 & zmean<=1.1] <- "#ffffe5"
face$colour[zmean> 1.1 & zmean<=1.2] <- "#d9f0a3"
face$colour[zmean> 1.2 & zmean<=1.3] <- "#addd8e"
face$colour[zmean> 1.3 & zmean<=1.4] <- "#78c679"
face$colour[zmean> 1.4 & zmean<=1.5] <- "#41ab5d"
face$colour[zmean> 1.5 & zmean<=1.6] <- "#238443"
face$colour[zmean> 1.6 & zmean<=1.8] <- "#41b6c4"
face$colour[zmean> 1.8 & zmean<=2] <- "#41b6c4"
face$colour[zmean> 2 & zmean<=2.5] <- "#225ea8"
face$colour[zmean> 2.5] <- “#081d58”

heres the plot if that helps

https://plot.ly/~neilsrini1/5/trace-0-vs-col4/?share_key=JJL6iqxYvxSEOkYwOYtFNn

thanks

2

i was unable to apply a colour scale bar/legend to the mesh3d file. i think it may be somethign to do with a bug in the system

however, my workaround was to draw a seperate graph of the points in th emesh using scatter3d for which the colorbar worked

plot_ly(
x = points[, 1], y = points[, 2], z = points[, 3],

marker = list(
autocolorscale = FALSE,
cmax = 2.5,
cmin = 0,
color = vert$colour,
#colorscale = vert$bi,
colorbar = “middle”,
colorscale = list(c(0, “#800026”),
list(0.2, “#bd0026”),
list(0.24, “#e31a1c”),
list(0.28, “#fc4e2a”),
list(0.32, “#fd8d3c”),
list(0.36, “#feb24c”),
list(0.4, “#ffffe5”),
list(0.44, “#d9f0a3”),
list(0.48, “#addd8e”),
list(0.52, “#78c679”),
list(0.56, “#41ab5d”),
list(0.6, “#238443”),
list(0.64, “#41b6c4”),
list(0.8, “#225ea8”),
list(1, “#081d58”)),
line = list(width = 0),
opacity = 0.9,
size = 20,
symbol = “circle”,
showscale=TRUE),

opacity = 0.5,
type=“scatter3d”,
mode= “markers”,
#visable=FALSE
)

here is the code for those interested.

i will cut the colorbar out of this graph and past it into the figure for the mesh .

hope this helps.

interested to know if anyine else can add this colorbar to the mesh 3d graph

i asked plotly team but they couldn’t get a workaround and suggested using this forum.

bw
n

3

Color bars in mesh3d are only supported when the mesh colors are specified using intensity. Other color specifications e.g. facecolors, vertexcolors and color don’t support colorscale - and for good reasons: as the colors are specified per datum not via a mapping.

4

I have to say there is no reason to have this setting. You should be able to set the colour bar based on the face colours.

Hence my workaround of a 3D scatter plot on the plot with is set to opacity 0 and then provide the colour bar.

I think they should enable you to set the colour bar legend based on anything you want