below is a program that i am using to derive idf curves .suppose i have the code for plotting idf curve for one particular grid or place but now i need to plot 10 idf curves using that code simultaneously. i introduced a outer for loop will it do?

1 vue (au cours des 30 derniers jours)
# * load allrains.txt
# * y=allrains(:,:);
# * rain=data1(:,:);
# * data=data1(:,1:10);
# * for n=1:size(data,2)
# * dataA=[];
# * for i=1:length(rain)-2
# * dataA=[dataA; sum(data(i:i+2,n))];
# * end
# * dataB=[];
# * for i=1:length(rain)-5
# * dataB=[dataB; sum(data(i:i+5,n))];
# * end
# * dataC=[];
# * for i=1:length(rain)-8
# * dataC=[dataC; sum(data(i:i+8,n))];
# * end
# * dataD=[];
# * for i=1:length(rain)-11
# * dataD=[dataD; sum(data(i:i+11,n))];
# * end
# * dataF=[];
# * for i=1:length(rain)-14
# * dataF=[dataF; sum(data(i:i+14,n))];
# * end
# * dataG=[];
# * for i=1:length(rain)-17
# * dataG=[dataG; sum(data(i:i+17,n))];
# * end
# * dataK=[]
# * for i=1:length(rain)-20
# * dataK=[dataK; sum(data(i:i+20,n))];
# * end
# *
# * dataH=[];
# * for i=1:length(rain)-23
# * dataH=[dataH; sum(data(i:i+23,n))];
# * end
# * dataI=[];
# * for i=1:length(rain)-35
# * dataI=[dataI; sum(data(i:i+35,n))];
# * end
# * dataJ=[];
# * for i=1:length(rain)-47
# * dataJ=[dataJ; sum(data(i:i+47,n))];
# * end
# *
# * % % Make padded array.....
# * M = nan(length(rain),10);
# * M(3:length(data),1) = dataA;
# * M(6:length(data),2) = dataB;
# * M(9:length(data),3) = dataC;
# * M(12:length(data),4) = dataD;
# * M(15:length(data),5) = dataF;
# * M(18:length(data),6) = dataG;
# * M(21:length(data),7) = dataK;
# * M(24:length(data),8) = dataH;
# * M(36:length(data),9) = dataI;
# * M(48:length(data),10) = dataJ;
# * %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# * year=y(:,1);
# * dataset=[year M];
# * [years, ~, gg] = unique(dataset(:, 1));
# * dataset1=[gg M];
# * MaxC=[];
# * for i=1:31
# *
# * for k1 = 2:size(dataset,2)
# * maxd = max(dataset(gg==i,k1));
# * MaxCol(k1,:) = maxd;
# * end
# * MaxC=[MaxC MaxCol];
# * end
# * MaxC =(MaxC(2:end,:))';
# * mm=mean(MaxC,1);
# * stdev=std(MaxC,1);
# * recurrence=[2;5;10;25;50;100];
# * KT=[];
# * for i=1:length(recurrence)
# * gumbell_kt(i)=-(sqrt(6))/pi*(0.5772+log(log(recurrence(i)/(recurrence(i)-1))));
# * end
# * KT=[KT gumbell_kt];
# * KT=KT';
# * dataarrange=[mm' stdev'];
# * for i=1:length(dataarrange)
# * for j=1:length(KT)
# * table(i,j)=dataarrange(i,1)+KT(j).*dataarrange(i,2);
# * end
# * end
# * duration=[3;6;9;12;15;18;21;24;36;48];
# * for i=1:length(duration)
# * for j=1:length(KT)
# * intensity(i,j)=table(i,j)./duration(i);
# * end
# * end
# * PLOT(n)=plot(duration,intensity(:,1),'bd-',duration,intensity(:,2),'gd-',duration,intensity(:,3),'cd-',duration,intensity(:,4),'kd-',duration,intensity(:,5),'md-',duration,intensity(:,6),'yd-');

Réponses (1)

JAYANTH BHIMAVARAPU
JAYANTH BHIMAVARAPU le 1 Juil 2018
Try to use subplot of MATLAB to plot different plots in a form of grid: Subplot in MATLAB
And if you add outer loop and change the variables to be plotted in each iteration, it will work. But don't forget to change the parameters of subplot too.

Catégories

En savoir plus sur Data Distribution Plots dans Help Center et File Exchange

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by