Why does legend command fail after boxplots with hold command?

4 次查看(过去 30 天)
Following the MATLAB legend documentation example , the following code excerpt issues the warning and erroneous image displayed in the screenshot. Why? How do I create a legend?
cm3tomm3 = 10^3;
datatoplot = ExtractLessData(height(data),newvoldata,'blurred','rectum');
figure
boxplot(cm3tomm3*datatoplot.Volumes,datatoplot.DoseInterval,...
'colors','b','BoxStyle','filled')
title('Dosed Rectal Volumes (mm^3) per Dose Interval (Gy(RBE))')
hold on
datatoplot = ExtractLessData(height(data),newvoldata,'planned','rectum');
boxplot(cm3tomm3*datatoplot.Volumes,datatoplot.DoseInterval,...
'colors','r')
hold off
legend('planned: red, outlined', 'blurred: blue, filled')

回答(1 个)

Elizabeth Reese
Elizabeth Reese 2017-11-30
Boxplots are groups of lines in the axes, so their legend functionality is limited. Mathworks' teams are aware of this and considering improving this in a future release.
You can still achieve this legend by saving the handles from the boxplots and then manually creating the legend.
For example:
load carsmall
% Make the plot
f = figure;
h1 = boxplot(MPG,Origin,'colors','b','BoxStyle','filled');
set(gca,'XTickLabel',{' '})
hold on
h2 = boxplot(gca,Acceleration,Origin,'colors','r');
hold off
% reset the axes limits to show the full boxplots
ylim([min(min(MPG),min(Acceleration)) max(max(MPG),max(Acceleration))])
legend([h1(2),h2(3)],'one, blue filled','two, red, outlined')
You will need to find which index in h1 and h2 correspond to lines in the box of your plot.
  1 个评论
Daniel Bridges
Daniel Bridges 2017-12-5
编辑:Daniel Bridges 2017-12-5
> You will need to find which index in h1 and h2 correspond to lines in the box of your plot.
How do I do this? I assigned the boxplots to variables as you did h1, h2 and my results are 4x19 and 7x19 double arrays. It's not clear what these arrays represent ( plot visualizes them as straight lines); I checked the boxplot documentation and it doesn't mention the case of assigning boxplot to a variable (i.e. h1 = boxplot(...)).

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