如果您想获得像您链接的那个包中那样的对称图,您需要找出将单纯形放入 x/y 平面的旋转矩阵。您可以在下面使用此功能。这有点长,因为我在计算中留下了单纯形居中的问题。具有讽刺意味的是,4d 单纯形图的转换要简单得多。修改e变量得到不同的边距
simplexPlot[func_, plotFunc_] :=
Module[{A, B, p2r, r2p, p1, p2, p3, e, x1, x2, w, h, marg, y1, y2,
valid},
A = Sqrt[2/3] {Cos[#], Sin[#], Sqrt[1/2]} & /@
Table[Pi/2 + 2 Pi/3 + 2 k Pi/3, {k, 0, 2}] // Transpose;
B = Inverse[A];
(* map 3d probability vector into 2d vector *)
p2r[{x_, y_, z_}] := Most[A.{x, y, z}];
(* map 2d vector in 3d probability vector *)
r2p[{u_, v_}] := B.{u, v, Sqrt[1/3]};
(* Bounds to center the simplex *)
{p1, p2, p3} = Transpose[A];
(* extra padding to use *)
e = 1/20;
x1 = First[p1] - e/2;
x2 = First[p2] + e/2;
w = x2 - x1;
h = p3[[2]] - p2[[2]];
marg = (w - h + e)/2;
y1 = p2[[2]] - marg;
y2 = p3[[2]] + marg;
valid =
Function[{x, y}, Min[r2p[{x, y}]] >= 0 && Max[r2p[{x, y}]] <= 1];
plotFunc[func @@ r2p[{x, y}], {x, x1, x2}, {y, y1, y2},
RegionFunction -> valid]
]
这里是如何使用它
simplexPlot[Sin[#1 #2 #3] &, Plot3D]
(来源:yaroslavvb.com)
simplexPlot[Sin[#1 #2 #3] &, DensityPlot]
(来源:yaroslavvb.com)
如果您想在原始坐标系中查看域,可以将绘图旋转回单纯形
t = AffineTransform[{{{-(1/Sqrt[2]), -(1/Sqrt[6]), 1/Sqrt[3]}, {1/
Sqrt[2], -(1/Sqrt[6]), 1/Sqrt[3]}, {0, Sqrt[2/3], 1/Sqrt[
3]}}, {1/3, 1/3, 1/3}}];
graphics = simplexPlot[5 Sin[#1 #2 #3] &, Plot3D];
shape = Cases[graphics, _GraphicsComplex];
Graphics3D[{Opacity[.5], GeometricTransformation[shape, t]},
Axes -> True]
(来源:yaroslavvb.com)
这是另一个单纯形图,使用来自 here 和 MeshFunctions->{#3&} 的传统 3d 轴,完整代码 here
(来源:yaroslavvb.com)