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plotting multiple boxplots in the same figure window

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Jenny
Jenny on 17 Nov 2012
Commented: Umar on 28 Jul 2024 at 12:05
I have 10 vectors of temperature data, all different lengths, that I want to make boxplots of and plot them all in the same figure window. How do I do this?
  1 Comment
Umar
Umar on 28 Jul 2024 at 12:05

Hi Jenny,

You probably have already created a Random Temperature Data Vectors, but I am showing an example by creating random temperature data vectors. In my provided code snippet, the data vectors are generated using the randn function. You can replace these vectors with your actual temperature data. Then, create a Figure for Boxplots by create a figure to display the boxplots. The figure function is used to create a new figure window. Afterwards, plot Boxplots for Each Vector by iterating over each data vector using a loop and plot the boxplot for each vector in a subplot. Here's the modified code snippet with detailed explanations:

% Generate random temperature data vectors (replace with your actual data)

data = {randn(20,1), randn(30,1), randn(25,1), randn(35,1), randn(15,1),

randn(40,1), randn(22,1), randn(28,1), randn(18,1), randn(32,1)};

% Create a figure for boxplots

figure;

hold on;

% Iterate over each vector and plot its boxplot

for i = 1:numel(data)

    subplot(2,5,i); % Adjust subplot layout based on the number of vectors
    boxplot(data{i});
    title(['Vector ', num2str(i)]);

end

hold off;

Please see attached plot.

Feel free to customize the code further based on your specific data and visualization requirements. Hope, this answers your question.

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Answers (3)

Tom Lane
Tom Lane on 19 Nov 2012
Here's how to do that with three vectors of different lengths:
x1 = rand(10,1); x2 = 2*rand(15,1); x3 = randn(30,1);
x = [x1;x2;x3];
g = [ones(size(x1)); 2*ones(size(x2)); 3*ones(size(x3))];
boxplot(x,g)
  6 Comments
Gabriel Apaza
Gabriel Apaza on 5 May 2021
matlab's notation is so incredibly non user friendly it blows my mind
Seth DeLand
Seth DeLand on 25 May 2022
Just a note that as of R2020a this can also be accomplished using the boxchart function in MATLAB. boxplot is part of Statistics and Machine Learning Toolbox.

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Matt Learner
Matt Learner on 25 Mar 2018
Edited: Matt Learner on 25 Mar 2018
A = [16 20 15 17 22 19 17]';
B = [22 15 16 16 16 18]';
C = [23 9 15 18 13 27 17 14 16 15 21 19 17]';
group = [ ones(size(A)); 2 * ones(size(B)); 3 * ones(size(C))];
figure
boxplot([A; B; C],group)
set(gca,'XTickLabel',{'A','B','C'})
  4 Comments
TESFALEM ALDADA
TESFALEM ALDADA on 28 Oct 2021
@Matt Learner Thank you for your answer. I was having the same problem. For the above example they it has only three variables (A, B,C), but what will happen if it has 1000 variables, are we going to type all in the group?
I ask any robest way to do this for longer data.
Peanut
Peanut on 20 Jan 2022
You would store the variables in a structure, where each field is a variable. Then you would loop through the fields, vertically concatenating each one.
e.g.
s.A = rand(10,1);
s.B = rand(15,1);
s.C = rand(20,1);
allData = [];
allCats = [];
allFields = string(fieldnames(s))
for iField = 1:length(allFields)
allData = [allData;s.(allFields(iField))];
allCats = [allCats,repelem(allFields(iField),length(s.(allFields(iField))));]
end
boxplot(allData,allCats)

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Akiva Gordon
Akiva Gordon on 17 Nov 2012
Are you familiar with the SUBPLOT function? This may be what you are looking for…

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