How to convert XLim day data to monthly?
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Hi there, as you can see below I've got monthly data plotted by it is displayed along the x-axis as days. How do you change it so it is not 1:366 (days) but 1:12 (months). Thank
Here is my script for these plots:
allt=[data2009.t data2010.t data2011.t data2012.t ...
data2013.t data2014.t data2015.t data2016.t];
allT=[data2009.T data2010.T data2011.T data2012.T ...
data2013.T data2014.T data2015.T data2016.T];
allS=[data2009.S data2010.S data2011.S data2012.S data2013.S data2014.S data2015.S data2016.S];
allTu=[data2009.Tu data2010.Tu data2011.Tu data2012.Tu data2013.Tu data2014.Tu data2015.Tu data2016.Tu];
for I=1:12
monthstart(I) = day(datetime(2009,I,1),'dayofyear');
end
monthstart (13) = 366;
for I=1:12
tmpT = allT(find (allt>monthstart(I) &allt<monthstart(I+1)));
tmpT(isnan(tmpT))=[];
meanT(I)=mean(tmpT);
stdT(I)=std(tmpT);
end
for I=1:12
tmpT = data2016.T(find (data2016.t>monthstart(I) & data2016.t<monthstart(I+1)));
tmpT(isnan(tmpT))=[];
meanT2016(I)=mean(tmpT);
stdT2016(I)=std(tmpT);
end
for I=1:12
tmpS = allS(find (allt>monthstart(I) &allt<monthstart(I+1)));
tmpS(isnan(tmpS))=[];
meanS(I)=mean(tmpS);
stdS(I)=std(tmpS);
end
for I=1:12
tmpS = data2016.S(find (data2016.t>monthstart(I) & data2016.t<monthstart(I+1)));
tmpS(isnan(tmpS))=[];
meanS2016(I)=mean(tmpS);
stdS2016(I)=std(tmpS);
end
for I=1:12
tmpTu = allTu(find (allt>monthstart(I) &allt<monthstart(I+1)));
tmpTu(isnan(tmpTu))=[];
meanTu(I)=mean(tmpTu);
stdTu(I)=std(tmpTu);
end
for I=1:12
tmpTu = data2016.Tu(find (data2016.t>monthstart(I) & data2016.t<monthstart(I+1)));
tmpTu(isnan(tmpTu))=[];
meanTu2016(I)=mean(tmpTu);
stdTu2016(I)=std(tmpTu);
end
figure(2)
%clf
subplot (3,1,1)
plot(monthstart(1:12),meanT,'b-', 'LineWidth', 2)
hold on
plot(monthstart(1:12),meanT2016,'r-', 'LineWidth', 2)
plot(monthstart(1:12),meanT+stdT,'b--')
plot(monthstart(1:12),meanT-stdT,'b--')
plot(monthstart(1:12),meanT2016+stdT2016,'r--')
plot(monthstart(1:12),meanT2016-stdT,'r--')
xlabel('Day Of Year')
ylabel ('SST (^oC)')
title ('L4 monthly Mean Sea Surface Temperature')
set(gca,'XLim',[1 366])
legend('2009-2015','2016')
subplot (3,1,2)
plot(monthstart(1:12),meanS,'b-', 'LineWidth', 2)
hold on
plot(monthstart(1:12),meanS2016,'r-', 'LineWidth', 2)
plot(monthstart(1:12),meanS+stdS,'b--')
plot(monthstart(1:12),meanS-stdS,'b--')
plot(monthstart(1:12),meanS2016+stdS2016,'r--')
plot(monthstart(1:12),meanS2016-stdS,'r--')
xlabel('Day Of Year')
ylabel ('SSS (ppt)')
title ('L4 monthly Mean Sea Surface Salinity')
set(gca,'XLim',[1 366])
legend('2009-2015','2016')
subplot (3,1,3)
plot(monthstart(1:12),meanTu,'b-', 'LineWidth', 2)
hold on
plot(monthstart(1:12),meanTu2016,'r-', 'LineWidth', 2)
plot(monthstart(1:12),meanTu+stdTu,'b--')
plot(monthstart(1:12),meanTu-stdTu,'b--')
plot(monthstart(1:12),meanTu2016+stdTu2016,'r--')
plot(monthstart(1:12),meanTu2016-stdTu,'r--')
xlabel('Day Of Year')
ylabel ('SSTu')
title ('L4 monthly Mean Sea Surface Turbility')
set(gca,'XLim',[1 366])
legend('2009-2015','2016')
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Respuestas (1)
Star Strider
el 10 de Oct. de 2019
Since you’re using datetime arrays, using the xtickformat function and specifically using 'MM' or 'MMM' as described in the datefmt section of the documentation would likely do what you want.
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