How can I remove the white edge in the density map?

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Lightisthenight
Lightisthenight am 26 Jun. 2019
Kommentiert: Adam Danz am 26 Jun. 2019
I used imagesc to plot a density map and plotted an additional point (the red one) in the figure to highlight that this is my basepoint. As seen in the image there is white edge at the x-axis of my density map, I probably think that there is no density points at that area. How can I turn this white edge to blue which is according to the colorbar 0 density.
I tried to extend the limit scale of 'ydata' before, this will result to a wrong density map, such that points below my basepoint are plotted.
testtri = worldpointscorrtri; % points i want to illustrate in density map
grid1 = 256; %refinement of map
minvalstri = min(testtri);
maxvalstri = max(testtri);
rangevalstri = maxvalstri - minvalstri;
xidxtri = 1 + round((testtri(:,1) - minvalstri(1)) ./ rangevalstri(1) * (grid1-1));
yidxtri = 1 + round((testtri(:,2) - minvalstri(2)) ./ rangevalstri(2) * (grid1-1));
densitytri = accumarray([yidxtri, xidxtri], 1, [grid1,grid1]); %note y is rows, x is col
densitytri = densitytri.*(1/max(densitytri,[], 'all'));
imagesc(densitytri, 'xdata', [minvalstri(1), maxvalstri(1)], 'ydata', [minvalstri(2), maxvalstri(2)]);
hold on;
plot(worldpoints_meltcorrtri(:, 1), worldpoints_meltcorrtri(:, 2), 'r*');
colorbar;
axis tight ;
axis square;
xlabel('x in mm ')
ylabel('-y in mm ')
  2 Kommentare
KALYAN ACHARJYA
KALYAN ACHARJYA am 26 Jun. 2019
worldpointscorrtri??
Lightisthenight
Lightisthenight am 26 Jun. 2019
Bearbeitet: Lightisthenight am 26 Jun. 2019
this is just my image points, a 5000x3 matrix, I just corrected it in the question

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Adam Danz
Adam Danz am 26 Jun. 2019
Bearbeitet: Adam Danz am 26 Jun. 2019
Try this
axis tight
xlim([minvalstri(1), maxvalstri(1)])
ylim([minvalstri(2), maxvalstri(2)])
Note that these points are the centers of the corner squares so you'll cut off 1/2 of the upper, lower, right and left eges. Your resoltuion looks tiny so this won't be noticible but you might want to account for this issue by adding +/-1/2 of your square size to the axis limits.
  4 Kommentare
Lightisthenight
Lightisthenight am 26 Jun. 2019
I got it. Thanks for your help
Adam Danz
Adam Danz am 26 Jun. 2019
Nice work!

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