Boxplot with scaled x-axis?
24 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I'm trying to plot temperature data that is dependent on concentration (with temperature being the y axis and concentration the x). How do I create a plot that is scaled for the x variables (such that if some concentrations are closer the boxes are also closer)? I'm loading large sets of data and the previous examples I've seen are only drawn matrixes. Any help is appreciated. Thanks!
0 commentaires
Réponses (1)
Cris LaPierre
le 26 Août 2022
Use boxchart and specify the xgroupdata input.
Here's an example that orders and spaces the groups based on Month
tsunamis = readtable('tsunamis.xlsx');
tsunamis(1:8,["Month","Cause","EarthquakeMagnitude"])
idx = contains(tsunamis.Cause,'Earthquake');
earthquakes = tsunamis(idx,:);
% Delete one month of data to show gap in figure
earthquakes(earthquakes.Month==3,:) = [];
boxchart(earthquakes.Month,earthquakes.EarthquakeMagnitude)
figure
earthquakes = tsunamis(idx,:);
% Change spacing of one group by adjusting the month number
earthquakes.Month(earthquakes.Month==3) = 2.5;
boxchart(earthquakes.Month,earthquakes.EarthquakeMagnitude)
1 commentaire
Cris LaPierre
le 26 Août 2022
Just a comment. The xaxis here is optimized for categorical data, meaning X is really group number (integer values). The resulting output may not look like you want. This means you might have to adjust other parameters to account for your xgroupdata (e.g. BoxWidth).
tsunamis = readtable('tsunamis.xlsx');
idx = contains(tsunamis.Cause,'Earthquake');
earthquakes = tsunamis(idx,:);
earthquakes.Month=earthquakes.Month/10;
% BoxWidth uses default width, though X scale is now .1-1.2
boxchart(earthquakes.Month,earthquakes.EarthquakeMagnitude)
% Adjust BoxWidth to compensate
figure
boxchart(earthquakes.Month,earthquakes.EarthquakeMagnitude,'BoxWidth',0.05)
Voir également
Catégories
En savoir plus sur Seismology dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!



