How to plot a color shade instead of graph curves?

Hi,

I have say a lot of vertical curves overlapping each other as shown in te figure below: FIG 1, I want to plot them like color shade an example is shown below in FIG 2. How I can do it?

FIG 1

FIG 2

[Image Analyst]

You forgot to attach your data, probably because you've never read the posting guidelines

TUTORIAL: How to ask a question (on Answers) and get a fast answer

https://www.mathworks.com/matlabcentral/content/community-guidelines.html

[Nisar Ahmed]

@Image Analyst thanks for your comments. What if someone does not want to share data?

Actually here in this I just need a command recommendation how I can plot in color shades. I do not think data is significantly required.

[MJFcoNaN]

How will you define different colors in the Fig 2?

[Image Analyst]

@Nisar Ahmed make it EASY for people to help you and they will. If you don't want to share your actual data, then make up something, like a for loop where you create a bunch of noisy sine waves or something. Don't make other people do that just to help you. You should do that for them, otherwise they'll just move on to another question.

There is nothing built in to MATLAB that does that so you'll have to use custom code. I know there was a question on that a few years ago and I answered it but I don't have the link right now.

[Nisar Ahmed]

@Image Analyst Here is data attached in the comment. p0 versus t.

Answer 1

[Nisar Ahmed]

Hei @Image Analyst here are two data sets I have prepared. You can use any of them to create figure like (FIG 2). These datasets are attached here in the comment.

Answer 2

[KSSV]

How about this approach?

load('p0_t.mat') ;
x = t ; 
y0 = min(p0(:)) ;
y1 = max(p0(:)) ;
y = linspace(y0,y1,300) ;

[X,Y] = meshgrid(x,y) ; 
Z = NaN(size(X));

tt = repelem(t,7,1) ; 
tt = tt' ;
m = 70 ;   % can be changed
idx = knnsearch([X(:) Y(:)],[tt(:) p0(:)],'k',m) ; 

for i = 1:m
    Z(idx(:,i)) = p0(:) ;
end

p = pcolor(X,Y,Z) ;
p.EdgeColor = 'none' ; 

[Nisar Ahmed]

@KSSV Is it possible to get with more close upper and lower limits with high resolution that also follow the small fluctuations... See the results with your code below. It more blur with respect to actual plot.

I have attached the actual data in refined form, can you try with it.