如何使用一个沿Z轴变化一个变量的矩阵绘制pcolor样式的3-D图？ [英] How do you plot the 3-D plot for pcolor style using one matrix with varying one variable along Z-axis?

问题描述

我得到 RFM 方阵 size（64 * 64）作为 x的函数和 h 变量如下所示。 x =由（pX2）组成的输入信号，其中 p 可以是任意大小，h =每个 RFM h ， x 是相同的常数。假设h处于这个范围内， h = [0：0.2：1]

RFM =函数（x，h）

• x = rand（100X2）和 h_1 = 0 然后我将得到<$ c $ （64X64）矩阵的c> RFM_1 。


• x是相同的，x = rand（100X2）和 h_2 = 0.3 然后我将获得 RFM_2 的（64X64）矩阵。


• x是相同的，x = rand（100X2）和 h_3 = 0.6 然后我将获得 RFM_2 的（64X64）矩阵

我已经在pcolor图中绘制了 RFM_1 ，并且还为每个 RFM 值绘制了 pcolor 情节。

我希望使用 pcolor 样式的RFM矩阵的3d图，其中<$在Z轴上为c $ c> h 。它应该查找每个 RFM 矩阵图，一个叠加在另一个之上吗？我如何在MATLAB中执行此操作？

预期的输出图应如下所示。在此图中，此图中仅绘制了一个 RFM_1 和 h_1 矩阵。我希望在 h_2 = 0.5 的 RFM_2 矩阵，依此类推，每个都用 pcolor 样式。

我在此处共享了所需的代码。您可以使用 test.m 文件检查上述功能。

I get RFM square matrix size(64*64) as function of x and h variable shown below. x = input signal consisting of(pX2),where p can be of any size and h = threshold value (1X1) for each RFMmatrix respectively. x is same constant values for all varying h. let's say for example h will be in this range,h = [0:0.2:1]

RFM = function(x,h)

• x=rand(100X2) and h_1 = 0 then i will get RFM_1 of (64X64) matrix.
• x is same, x=rand(100X2) and h_2 = 0.3 then i will get RFM_2 of (64X64) matrix.
• x is same, x=rand(100X2) and h_3=0.6 then i will get RFM_2 of (64X64) matrix

As of now i have plotted RFM_1 in pcolor plot and also for each RFMvalue i have plotted with pcolor plot.

I want the 3d plot for the RFM matrix in pcolor style with varying function of the h in Z-axis. It should look for each RFM matrix plot is stacked one above the other? How can i do this in MATLAB?

Expected output plot should somewhat look like below. Here,only one RFM_1 with h_1 matrix is plotted in this figure. I expect RFM_2 matrix at h_2=0.5 and so on plotted each withpcolor style.

I have shared the required code here. You can use test.m file to check the above function. https://drive.google.com/folderview?id=0B0sYDrkkEHQ-b25GMlphUEFRcDA&usp=sharing

解决方案

here's a way if I understand you correctly:

data=peaks(64); % fake data
t=-0:8; % some thersholds

tdata=bsxfun(@gt,data,permute(t,[3 1 2])); % 3d threshold
data3=repmat(data,[1 1 numel(t)]); %just copy data to the 3rd dim
A=data3.*tdata;
A(A==0)=NaN; % this will eliminate showing the zero values

% plottning
h=slice(A,[],[],1:numel(t));
set(h,'EdgeColor','none','FaceColor','interp');

alpha(0.5);

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