Errorbar plot in colormap
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I could manage to make a colorbar plot using scatter, but I have to show the associated errorbar as well. To bare minimum, I first created errorbar plot and then scatter plot on the same figure with colormap. However, It would be great if the color of the errorbar matches the color of the symbol as per the colorbar values. Note that the colorscale is in the log value. My output figure is following and the data is attached as data_mat.mat file.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1163893/image.png)
My code is following
figure();box on;hold on;
errorbar(data_mat(:,1),data_mat(:,3),data_mat(:,4),'.','MarkerSize',10,'LineWidth',1)
hold on;
scatter(data_mat(:,1),data_mat(:,3),140,data_mat(:,2),'fill');
hcb=colorbar;
colormap('parula');
hcb.Title.String = "title";
set(gca,'ColorScale','log');
set(gca,'FontSize',18);
hcb.FontSize=14;
xlabel('X','FontSize',20);ylabel('Y','FontSize',20);
set(gca, 'Linewidth', 1);
0 个评论
采纳的回答
Bjorn Gustavsson
2022-10-21
编辑:Bjorn Gustavsson
2022-10-27
You might get away with putting the errorbar-call in a loop. Perhaps something like this:
figure();
clf
box on
hold on
cmp = parula;
dx = 0.1*randn(size(data_mat(:,1)));
for i1 = size(data_mat,1):-1:1
phE(i1) = errorbar(data_mat(i1,1)+dx(i1),...
data_mat(i1,3),...
data_mat(i1,4),...
'.','MarkerSize',10,'LineWidth',1);
hold on
end
for i1 = size(data_mat,1):-1:1
% Set the colour of phE to a colour from a linear interpolation of the
% full parula colour-map between the max and min values of data_mat(:,4)
set(phE(i1),...
'color',interp1(1:size(cmp,1),...
cmp,...
1+(size(cmp,1)-1)*(log10(data_mat(i1,2))-min(log10(data_mat(:,2))))/(max(log10(data_mat(:,2))) - min(log10(data_mat(:,2))))))
end
hold on;
scatter(data_mat(:,1)+dx,data_mat(:,3),140,data_mat(:,2),'fill');
hcb=colorbar;
colormap('parula');
hcb.Title.String = "title";
set(gca,'ColorScale','log');
set(gca,'FontSize',18);
hcb.FontSize=14;
xlabel('X','FontSize',20);ylabel('Y','FontSize',20);
set(gca, 'Linewidth', 1);
HTH
7 个评论
Bjorn Gustavsson
2022-10-27
Then just change the interpolation-scheme to logarithmic, as corrected above.
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