Alternative to scatter plot

20 views (last 30 days)
Christian Mathiesen
Christian Mathiesen on 13 May 2022
Answered: Image Analyst on 14 May 2022
I have a 3x100k matrix of scattered XYZ data over an an area that I wish to plot. So far I have been using scatter plot to visualize, but when I print the plot to .png it becomes 'blurry' like picture attached. Is there an alternative to the scatter plot take makes for a smoother image?
Thanks.
  3 Comments
Jan
Jan on 13 May 2022
@Christian Mathiesen: Please mention, what you call "blurry". We do not see, what you expect instead. What should be "smoother"?
How do you "print the plot"? The image contains the icon of the axes menu. Is this a screen shot?
Christian Mathiesen
Christian Mathiesen on 14 May 2022
@Jan I guess I was a little vague in my explanation. I use print to save the plot as a png. I was hoping to save the plot with a better resolution by for example converting the scattered data to a grid, so there is no space inbetween each point, making for a 'smoother' figure.
Thank you for your help.

Sign in to comment.

Answers (1)

Image Analyst
Image Analyst on 14 May 2022
Create an image of desired resolution and then assign every row to a point in the image. Then use imwrite(). Something like (untested because ou forgot to upload your x,y,z data):
minX = min(x);
maxX = max(x);
minY = min(y);
maxY = max(y);
aspectRatio = (maxY - minY) / (maxX - minX)
% Make an image with 1920 columns
columns = 1920;
rows = round(aspectRatio * 1920)
grayImage = zeros(rows, columns, 'uint8');
% Rescale x and y so they will be within the image dimensions.
xs = round(rescale(x, 1, columns));
ys = round(rescale(y, 1, rows));
zs = uint8(rescale(z, 0, 255)); % Convert z to gray levels in the range 0-255
% Assign pixels
for k = 1 : length(x)
grayImage(ys(k), xs(k)) = zs(k);
end
imshow(grayImage, []);
impixelinfo;
axis('on', 'image');

Categories

Find more on Graphics Performance in Help Center and File Exchange

Products


Release

R2022a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!