I want to change the 2D graph by changing the configuration of Boxplot.

Question

inseong Hwang 2021-4-20

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回答： Jonas 2021-4-21

Hello.

Using Matlab's Boxplot function, a box graph with values of Max, Min, 25%, Median, and 75% is drawn.

I would like to change this to a box graph consisting of Max, Min, Mean-Standard Deviation, Mean, and Mean + Standard Deviation.

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Jonas 2021-4-20

编辑：Jonas 2021-4-20

you can try to change the values inside the boxplot function. open the function using

edit boxplot

and search for quantiles, i think they were named q25 or similarly. good luck, boxplot is a really ugly function to change. it would be easier if you just want to add the information you asked for

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Answer 1

Jonas 2021-4-21

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https://ww2.mathworks.cn/matlabcentral/answers/807302-i-want-to-change-the-2d-graph-by-changing-the-configuration-of-boxplot#answer_680555

在 MATLAB Online 中打开

so here the way i went so far: i change just the properties of the image, at the moment the code changes the median line to mean and the boxes to mean+std and mean-std. at the moment it leaves the whiskers (lines to min or max) unchanged, you should change it accordingly: i give you an example, you should be able to change it according to your wishes

clear
close all;
rng('default');
% generate some data
nrOfBoxes=4;
a=randi(5,9,nrOfBoxes);
boxplot(a);
% get lines from axis
bxpltAx=gca;
lines=bxpltAx.Children.Children;
% In the boxplot objects the objects are ordered for boxes from right to left
lines=flip(lines);
% make clear which line object is which (did not test all of them)
upperWhiskers=lines(1:nrOfBoxes);
lowerWhiskers=lines((1:nrOfBoxes)+1*nrOfBoxes);
maximums=lines((1:nrOfBoxes)+2*nrOfBoxes);
minimums=lines((1:nrOfBoxes)+3*nrOfBoxes);
boxes=lines((1:nrOfBoxes)+4*nrOfBoxes); % Corner YData and XData: left bot, left top, right top, right bot; pairwise line coordinates!
medians=lines((1:nrOfBoxes)+5*nrOfBoxes);
outliers=lines((1:nrOfBoxes)+6*nrOfBoxes);
% data you asked for calculated column-wise
means=mean(a);
stds=std(a);
for boxNr=1:nrOfBoxes
    % set medians to means
    medians(boxNr).YData=[means(boxNr) means(boxNr)];
    
    % calculate new bounds
    newUpperBound=means(boxNr)+stds(boxNr);
    newLowerBound=means(boxNr)-stds(boxNr);
    
    % set box bounds to mean+std and mean-std
    boxes(boxNr).YData([2 3])=newUpperBound;
    boxes(boxNr).YData([1 4 5])=newLowerBound;
end