Skip to main content

graphics - How to join each of the spheres? Or, how to make a 3D grid?


Graphics3D[{
{RGBColor[#], Sphere[#, 1/50]} & /@ Tuples[Range[0, 1, 1/5], 3]
}
]


It gives this:


enter image description here


Now I want to get this one:


enter image description here


How? As simple as doable. Thanks in advance.



Answer



Another way is to create a 3D matrix with the points only once and utilize Transpose to transform the points so that the lines are drawn in all directions.


See, that the most important line below is the first Map where I transposed pts to go along each of the three directions


With[{pts = 
Table[{i, j, k}, {k, 0, 1, 1/5}, {j, 0, 1, 1/5}, {i, 0, 1, 1/5}]},

Graphics3D[
{
Map[Line, #, {2}] & /@ {pts, Transpose[pts, {3, 2, 1}], Transpose[pts, {1, 3, 2}]},
Map[{RGBColor[#], Sphere[#, 1/50]} &, pts, {3}]
}
]
]

Mathematica graphics


Detailed Explanation



Let me explain in detail what happens in this approach by using only a 2d example: A simple 2d array consisting of points can be created by


pts = Table[{i, j}, {j, 3}, {i, 3}]
(*{
{{1, 1}, {2, 1}, {3, 1}},
{{1, 2}, {2, 2}, {3, 2}},
{{1, 3}, {2, 3}, {3, 3}}
}*)

Instead of looking at this as a matrix of points, you could look at it as a list of line-points. Note how we have 3 lists of points with the same y-value and increasing x-value. Looking at the usages of Line one sees this




Line[{{p11,p12,...},{p21,...},...}] represents a collection of lines.



This is exactly the form we have right now and it means, we can directly use Graphics[Line[pts]] with this matrix and get 3 horizontal lines. If you now look at the output above as matrix again, and think about that when you Transpose a matrix you make first row to first column, second row to second col, ... then see, that you would get points, where the x-value stays fixed and the y-values changes


Transpose[pts]
(*{
{{1, 1}, {1, 2}, {1, 3}},
{{2, 1}, {2, 2}, {2, 3}},
{{3, 1}, {3, 2}, {3, 3}}
}*)


These three lines are exactly the vertical part of the grid. Therefore


Graphics[{Line[pts], Line[Transpose[pts]]}]

or a tiny bit shorter


Graphics[{Line /@ {pts, Transpose[pts]}}]

gives you the required grid 2d. In 3d the approach is basically the same. The only difference is, that you have to specify exactly which level you want to transpose and you cannot simply apply Line to the whole 3d matrix. You have to Map the Lines to come at least one level deeper.


Understanding this, and all the approaches in the other answers, helps always to gain a deeper understanding of how easily list-manipulation can solve such problems and to learn more about the internal structure of Graphics and Graphics3D.


An application for such grids is sometimes to visualize 2d or 3d mappings. Since we now know, how the Graphics structure looks inside, we can transform it directly. Creating a 2d grid with the above approach:


pts = Table[{i, j}, {j, -1, 1, .1}, {i, -1, 1, .1}];

gr = Graphics[{RGBColor[38/255, 139/255, 14/17], Line[pts],
RGBColor[133/255, 3/5, 0], Line[Transpose[pts]]}]

Mathematica graphics


And now you can just use a function which is applied to all points inside the Line directives:


f[p_] := 1/(Norm[p] + 1)*p;
gr /. Line[pts__] :> Line[Map[f, pts, {2}]]

Mathematica graphics


This works of course in 3d too



gr3d = With[{pts = 
Table[{i, j, k}, {k, -1, 1, .4}, {j, -1, 1, .4}, {i, -1,
1, .4}]},
Graphics3D[{Map[(Tube[#, 0.005] &), #, {2}] & /@ {pts,
Transpose[pts, {3, 2, 1}], Transpose[pts, {1, 3, 2}]},
Map[{RGBColor[#], Sphere[#, 1/40]} &, pts, {3}]}]];
gr3d /. {Sphere[pts_, r_] :> Sphere[f[pts], r],
Tube[pts_, r_] :> Tube[f /@ pts, r]}

Mathematica graphics



Comments

Popular posts from this blog

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 - 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 - 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.