Skip to main content

plotting - How to turn off depth sorting of 3D curves for Manipulate?



Is there a way to turn off the default depth sorting of curves in a 3D output of several complicated curves ? Currently, I suspect that depth sorting has a very strong impact on performances on my Manipulate box, and would like to turn it off, to see if there's an improvement (I'm sure it will !).



Here's a cheap MWE to work with :


curve1[t_] := ParametricPlot3D[
{Sin[3 Pi s], Cos[5 Pi s^2], Cos[3 Pi s] Sin[3 Pi s]},
{s, 0.001, t},PlotStyle -> Directive[Thickness[0.02], Red]]

curve2[t_] := ParametricPlot3D[
{1.3 Sin[7 Pi s], 0.5 Cos[2 Pi s], 0.4 Sin[6 Pi s^2]},
{s, 0.001, t},PlotStyle -> Directive[Thickness[0.02], Blue]]

Manipulate[Show[

{curve1[t], curve2[t]},
PlotRange -> {{-1.5, 1.5}, {-1.5, 1.5}, {-1.5, 1.5}},
Boxed -> True, Axes -> True, AxesOrigin -> {0, 0, 0},
SphericalRegion -> True,
Method -> {"RotationControl" -> "Globe"},
ImageSize -> 600
], {{t, 1, "t"}, 0, 12, 1}]

EDIT 1 : Depth sorting is the ordering of elements in 3D space. One in front of the other, as seen by the observer. This is a standard concept in 3D modeling, games, etc... Mathematica clearly do it too (by default), if you watch closely its 3D output of thick curves. Depth sorting is necessary when there are surfaces.


In my special case, I have no surfaces, just a single complicated thin curve. I don't need depth sorting in its case. Turning off depth sorting of that curve elements should improve a lot performances.





EDIT 2 : Here's an example of apparent no depth sorting in Mathematica, from Silvia :


Plot3D[x+y,{x,-1,1},{y,-1,1},AxesOrigin->{0,0,0},Mesh->None,Boxed->False]

While moving around that plane, you'll notice that the axis, ticks and labels are always shown "on front". They don't display any "depth sorting" of their elements. This is what I would like to achieve for curves.


There's also a strong advantage in getting no depth sorting of curves : when exporting a Mathematica 3D curve to a PDF file, and open the file with another vectorial application, you'll get the curve made of lots of small bits. The whole curve is then very hard to edit in a proper way. Without depth sorting of the curve, the curve would be of a single piece. This is highly desirable for exportation to another vectorial app.




EDIT 3 : Compare the output from the code above, with the output from the same code with the default thickness of curves (code below). The depth sorting is still there, but it is useless since it is not visible from this output :


curve1[t_] := ParametricPlot3D[
{Sin[3 Pi s], Cos[5 Pi s^2], Cos[3 Pi s] Sin[3 Pi s]},

{s, 0.001, t},PlotStyle -> Red]

curve2[t_] := ParametricPlot3D[
{1.3 Sin[7 Pi s], 0.5 Cos[2 Pi s], 0.4 Sin[6 Pi s^2]},
{s, 0.001, t},PlotStyle -> Blue]

Manipulate[
Show[
{curve1[t], curve2[t]},
PlotRange -> {{-1.5, 1.5}, {-1.5, 1.5}, {-1.5, 1.5}},

Boxed -> True, Axes -> True, AxesOrigin -> {0, 0, 0},
SphericalRegion -> True,
Method -> {"RotationControl" -> "Globe"},
ImageSize -> 600
], {{t, 1, "t"}, 0, 12, 1}]

Just to emphasize it : Depth sorting is not visible on thin curves and is thus useless. If a curve is very complicated, depth sorting may have a significant impact on some hardware, and it is desirable to turn it off.




Comments

Popular posts from this blog

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....