3D-plot of circular elements inside a matrix

Hi all,
I want to use meshc command and draw some elements inside a matrix that the elements indexes make a circle. for example in matrix A , I want to draw just the elements greater than 0:
A=[ 0 0 2 0 0;
0 1 3 2 0
3 4 2 1 3
0 2 3 5 0
0 0 4 0 0];
I want to eliminate the elements that are zero and draw the other elements in 3D. by doing so, we can clearly see the X-Y plane contours in 3-D plot.
Any reply is really appreciated.
Thanks

3 件のコメント

Sean de Wolski
Sean de Wolski 2012 年 5 月 7 日
Mehdi replies:
"Is there anybody here? Any suggestion?"
Sean de Wolski
Sean de Wolski 2012 年 5 月 7 日
What do you expect as a result? Okay, we do _something_ to the zero elements, I'm not clear on what. Then we do _something_ and magically have a 3-d shape/plot. This is not clear to me. Please explain the two somethings and the expected result.
Mehdi
Mehdi 2012 年 5 月 7 日
as you can see there are some zero elements at the corners of matrix A. I want to plot matrix A using 'meshc', without plotting zeros. just positive elements.

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 採用された回答

Sean de Wolski
Sean de Wolski 2012 年 5 月 7 日

0 投票

A=[ 0 0 2 0 0;
0 1 3 2 0
3 4 2 1 3
0 2 3 5 0
0 0 4 0 0];
A(~A) = nan; %nan out the zeros
meshc(A)

1 件のコメント

Mehdi
Mehdi 2012 年 5 月 7 日
Thanks a lot.
This is what I was looking for, exactly. :)

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その他の回答 (1 件)

Mehdi
Mehdi 2012 年 5 月 7 日

0 投票

Another thing,
Suppose that obtained a matrix like A, using Monte Carlo simulation by running a program so many times. But the final result of A is jagged when we plot it using 'meshc'.
How can we make it smooth?

3 件のコメント

Sean de Wolski
Sean de Wolski 2012 年 5 月 7 日
Filter it somehow. Perhaps conv2() would be your friend (you would want to do this before NaNing out the zeros)
Mehdi
Mehdi 2012 年 5 月 7 日
Thanks for your help. as you know conv2() is a two dimensional convolution. but how to find the other matrix to convolve with A?! I think it is so important. how should we find B in a way that the shape of A doesn't change after convolution?!!
Mehdi
Mehdi 2012 年 5 月 7 日
I used 'smooth' command and the result was so good.
Thank you anyway

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