Adding a scatter of points to a boxplot
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Does anyone come with with a code which can match the python generated boxplot?
1 个评论
dpb
2018-4-29
Presuming the points actually a set of coordinates as shown, don't see why
hold on
scatter(x,y)
with appropriate x,y arrays and the associated color arrays, etc., wouldn't come reasonably close...
采纳的回答
dpb
2018-4-29
Indeed, that seems to work just fine...
load carsmall MPG % the sample dataset variable
hold on
scatter(ones(size(MPG)).*(1+(rand(size(MPG))-0.5)/10),MPG,'r','filled')
yields
It's possible to add color with value scaling in scatter see the details on it for all the particulars.
5 个评论
Peyman Obeidy
2018-4-30
Here is the same thing with a bit more manipulations
load carsmall MPG % the sample dataset variable
MPG(:,2)=MPG(:,1).*2;
MPG(:,3)=MPG(:,1).*3;
boxplot(MPG,'Notch','on','Labels',{'mu = 5','mu = 6','mu = 6'},'Whisker',1)
lines = findobj(gcf, 'type', 'line', 'Tag', 'Median');
set(lines, 'Color', 'g');
% Change the boxplot color from blue to green
a = get(get(gca,'children'),'children'); % Get the handles of all the objects
%t = get(a,'tag'); % List the names of all the objects
%box1 = a(7); % The 7th object is the first box
set(a, 'Color', 'r'); % Set the color of the first box to green
hold on
x=ones(length(MPG)).*(1+(rand(length(MPG))-0.5)/5);
x1=ones(length(MPG)).*(1+(rand(length(MPG))-0.5)/10);
x2=ones(length(MPG)).*(1+(rand(length(MPG))-0.5)/15);
f1=scatter(x(:,1),MPG(:,1),'k','filled');f1.MarkerFaceAlpha = 0.4;hold on
f2=scatter(x1(:,2).*2,MPG(:,2),'k','filled');f2.MarkerFaceAlpha = f1.MarkerFaceAlpha;hold on
f3=scatter(x2(:,3).*3,MPG(:,3),'k','filled');f3.MarkerFaceAlpha = f1.MarkerFaceAlpha;hold on
dpb
2018-4-30
Nice choices..looks good. :)
Peyman Obeidy
2018-4-30
Rubina Chandnani
2021-7-22
In the line of code in scatter, is there a way to use a different color using uisetcolor? (I don't want to use the default colors).
I'd like to add that there is now an easier way to do this with boxchart (added in R2020a) and swarmchart (added in R2020b):
load carsmall MPG % the sample dataset variable
MPG(:,2)=MPG(:,1).*2;
MPG(:,3)=MPG(:,1).*3;
boxchart(MPG)
hold on
x = repmat(1:3,100,1); % create the x data needed to overlay the swarmchart on the boxchart
swarmchart(x,MPG,[],'red')
更多回答（2 个）
Hassan
2019-5-18
Hi, here you can find a one line solution for the jitter like function using the 'undocumented matlab' features.
load carsmall MPG
figure;
MPG(:,2)=MPG(:,1).*2;
MPG(:,3)=MPG(:,1).*3;
boxplot(MPG);
hold on;
x=repmat(1:3,length(MPG),1);
scatter(x(:),MPG(:),'filled','MarkerFaceAlpha',0.6','jitter','on','jitterAmount',0.15);
Best, HM
1 个评论
Junru Ruan
2019-12-13
This is the best answer! very nice presentation.
Tips: if you used group in box plot, do a 'unique' to get the right x axis.
boxplot(report_table.data,report_table.group_id);
hold on
[C, ~, ic]= unique([report_table.group_id],'stable');
scatter(ic,report_table.data,'filled','MarkerFaceAlpha',0.6','jitter','on','jitterAmount',0.15);
xlabel('Group ID');
ylabel('Data');
hold off
Ernesto Salcedo
2020-11-27
编辑：Ernesto Salcedo
2020-11-27
Boxchart solution for grouped categorical data
Table with random group
count = 20;
T = table(randi(10,count,1), categorical(repmat(["papaya";"silicon"], count/2,1)),'VariableNames',["Recharges","model"])
T.idx = grp2idx(T.model); % convert categories into group indices
Boxchart
figure
hc = boxchart(T.idx, T.Recharges); % group by index
hold on
% overlay the scatter plots
for n=1:max(unique(T.idx))
hs = scatter(ones(sum(T.idx==n),1) + n-1, T.Recharges(T.idx == n),"filled",'jitter','on','JitterAmount',0.1);
hs.MarkerFaceAlpha = 0.5;
end
set(gca,"XTick", unique(T.idx),"XTickLabel",categories(T.model))
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