MATLAB 更新 trisurf 句柄
MATLAB Update trisurf handle
我正在使用 Delaunay 三角化将散点图转换为曲面。为了使该图动画化,我想更新 trisurf
句柄而不是创建新的 trisurf
图以减少开销并提高绘图速度。
基本上,在 for 循环中,我想更新 trisurf
句柄 h
的属性以获得再次调用 trisurf
会产生的相同图。
MWE
x = linspace(0,1,11);
y = x;
[X,Y] = meshgrid(x,y);
mag = hypot(X(:),Y(:)); % exemplary magnitude
T = delaunay(X(:),Y(:));
z = 0
h = trisurf(T, X(:), Y(:), z*ones(size(X(:))), mag, 'FaceColor', 'interp'); view([-90 90]);
for i = 1:10
% Compute new values for X, Y, z, and mag
% -> Update properties of handle h to redraw the trisurf plot instead
% of recalling the last line before the for loop again, e.g.,
% h.FaceVertexCData = ...
% h.Faces = ...
% h.XData = ...
end
您可以更改 trisurf()
返回的 Patch 对象的一些属性:
for i = 1:9
% Compute new values for X, Y, z, and mag
% As an example:
x = linspace(0,1,11-i);
y = x;
[X,Y] = meshgrid(x,y);
mag = hypot(X(:),Y(:));
T = delaunay(X(:),Y(:));
z = i;
Z = z*ones(size(X)); %we could have just called `meshgrid()` with 3 arguments instead
% End recomputation
% Update trisurf() patch: option 1
set( h, 'Faces',T, 'XData',X(T).', 'YData',Y(T).', 'ZData',Z(T).', 'CData',mag(T).' );
pause(0.25); %just so we can see the result
% Update trisurf() patch: option 2
set( h, 'Faces',T, 'Vertices',[X(:) Y(:) Z(:)], 'FaceVertexCData',mag(:) );
pause(0.25); %just so we can see the result
end
其中 z
假定始终是标量,就像对 trisurf()
.
的原始调用一样
- 问:这些选项是否同样快?
- A:我在我的电脑(R2019a,Linux)上进行了运行一些测试(见下面的代码),发现当x/y-positions的数字是随机数时在 2 到 20 之间,使用
Vertices
的多个 set()
调用比使用 XData
和相关属性的 set()
调用快大约 20%,并且这些策略大约是一个顺序数量级比多次 trisurf()
调用快。然而,当 x/y-positions 的数量允许在 2 到 200 之间变化时,三种方法的 运行 时间大致相同。
Nruns=1e3;
Nxy_max=20;
for i=1:Nruns
if i==round(Nruns/10)
tic(); %discard first 10% of iterations
end
x = linspace(0,1,randi(Nxy_max-1)+1); %randi([2,Nxy_max]) can be a bit slower
[X,Y,Z] = meshgrid(x,x,randn());
mag = hypot(X(:),Y(:));
T = delaunay(X(:),Y(:));
trisurf(T, X(:), Y(:), Z(:), mag, 'FaceColor', 'interp');
view([-90 90]);
end
tmean_trisurf=1e3*toc()/(Nruns-round(Nruns/10)+1), %in [ms]
h=trisurf(T, X(:), Y(:), Z(:), mag, 'FaceColor', 'interp');
view([-90 90]);
for i=1:Nruns
if i==round(Nruns/10)
tic();
end
x = linspace(0,1,randi(Nxy_max-1)+1);
[X,Y,Z] = meshgrid(x,x,randn());
mag = hypot(X(:),Y(:));
T = delaunay(X(:),Y(:));
set( h, 'Faces',T, 'XData',X(T).', 'YData',Y(T).', 'ZData',Z(T).', 'CData',mag(T).' );
end
tmean_xyzdata=1e3*toc()/(Nruns-round(Nruns/10)+1), %in [ms]
for i=1:Nruns
if i==round(Nruns/10)
tic();
end
x = linspace(0,1,randi(Nxy_max-1)+1);
[X,Y,Z] = meshgrid(x,x,randn());
mag = hypot(X(:),Y(:));
T = delaunay(X(:),Y(:));
set( h, 'Faces',T, 'Vertices',[X(:) Y(:) Z(:)], 'FaceVertexCData',mag(:) );
end
tmean_vertices=1e3*toc()/(Nruns-round(Nruns/10)+1), %in [ms]
我正在使用 Delaunay 三角化将散点图转换为曲面。为了使该图动画化,我想更新 trisurf
句柄而不是创建新的 trisurf
图以减少开销并提高绘图速度。
基本上,在 for 循环中,我想更新 trisurf
句柄 h
的属性以获得再次调用 trisurf
会产生的相同图。
MWE
x = linspace(0,1,11);
y = x;
[X,Y] = meshgrid(x,y);
mag = hypot(X(:),Y(:)); % exemplary magnitude
T = delaunay(X(:),Y(:));
z = 0
h = trisurf(T, X(:), Y(:), z*ones(size(X(:))), mag, 'FaceColor', 'interp'); view([-90 90]);
for i = 1:10
% Compute new values for X, Y, z, and mag
% -> Update properties of handle h to redraw the trisurf plot instead
% of recalling the last line before the for loop again, e.g.,
% h.FaceVertexCData = ...
% h.Faces = ...
% h.XData = ...
end
您可以更改 trisurf()
返回的 Patch 对象的一些属性:
for i = 1:9
% Compute new values for X, Y, z, and mag
% As an example:
x = linspace(0,1,11-i);
y = x;
[X,Y] = meshgrid(x,y);
mag = hypot(X(:),Y(:));
T = delaunay(X(:),Y(:));
z = i;
Z = z*ones(size(X)); %we could have just called `meshgrid()` with 3 arguments instead
% End recomputation
% Update trisurf() patch: option 1
set( h, 'Faces',T, 'XData',X(T).', 'YData',Y(T).', 'ZData',Z(T).', 'CData',mag(T).' );
pause(0.25); %just so we can see the result
% Update trisurf() patch: option 2
set( h, 'Faces',T, 'Vertices',[X(:) Y(:) Z(:)], 'FaceVertexCData',mag(:) );
pause(0.25); %just so we can see the result
end
其中 z
假定始终是标量,就像对 trisurf()
.
- 问:这些选项是否同样快?
- A:我在我的电脑(R2019a,Linux)上进行了运行一些测试(见下面的代码),发现当x/y-positions的数字是随机数时在 2 到 20 之间,使用
Vertices
的多个set()
调用比使用XData
和相关属性的set()
调用快大约 20%,并且这些策略大约是一个顺序数量级比多次trisurf()
调用快。然而,当 x/y-positions 的数量允许在 2 到 200 之间变化时,三种方法的 运行 时间大致相同。
Nruns=1e3;
Nxy_max=20;
for i=1:Nruns
if i==round(Nruns/10)
tic(); %discard first 10% of iterations
end
x = linspace(0,1,randi(Nxy_max-1)+1); %randi([2,Nxy_max]) can be a bit slower
[X,Y,Z] = meshgrid(x,x,randn());
mag = hypot(X(:),Y(:));
T = delaunay(X(:),Y(:));
trisurf(T, X(:), Y(:), Z(:), mag, 'FaceColor', 'interp');
view([-90 90]);
end
tmean_trisurf=1e3*toc()/(Nruns-round(Nruns/10)+1), %in [ms]
h=trisurf(T, X(:), Y(:), Z(:), mag, 'FaceColor', 'interp');
view([-90 90]);
for i=1:Nruns
if i==round(Nruns/10)
tic();
end
x = linspace(0,1,randi(Nxy_max-1)+1);
[X,Y,Z] = meshgrid(x,x,randn());
mag = hypot(X(:),Y(:));
T = delaunay(X(:),Y(:));
set( h, 'Faces',T, 'XData',X(T).', 'YData',Y(T).', 'ZData',Z(T).', 'CData',mag(T).' );
end
tmean_xyzdata=1e3*toc()/(Nruns-round(Nruns/10)+1), %in [ms]
for i=1:Nruns
if i==round(Nruns/10)
tic();
end
x = linspace(0,1,randi(Nxy_max-1)+1);
[X,Y,Z] = meshgrid(x,x,randn());
mag = hypot(X(:),Y(:));
T = delaunay(X(:),Y(:));
set( h, 'Faces',T, 'Vertices',[X(:) Y(:) Z(:)], 'FaceVertexCData',mag(:) );
end
tmean_vertices=1e3*toc()/(Nruns-round(Nruns/10)+1), %in [ms]