plotting 12 graphs for different months
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c=1;
for i=1975:2016
    for j = 1:12
    monthdata(c)=mean(cleanup(4,cleanup(1,:)==i & cleanup(2,:)==j));
    c=c+1;
    end
end
this script makes a 1x504 matrix for the monthdata variable. this contains the mean of the temperatures of each month of the cleanup variable (made by the links). I must now take the mean of every month and plot each month individually. i must create 12 graphs representing the mean of every month but I do not know how to get thos values out of the 1x504 matrix or how to write the script that will take and plot each months mean for the cleanup variabe with all the temperatures for each day and month.
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Respuestas (1)
  Mathieu NOE
      
 el 1 de Dic. de 2022
        hello 
I tweaked a bit your code 
load data_matrix.mat
data=SECTION_L;
data(:,1:3)=[];
row=9;
cleanup=data([1 2 3 row],:);
% year range
y1 = 1975;
y2 = 2016;
% init
x = y1:y2;
nx = numel(x);
mo_av = zeros(nx,12);
mo_max = zeros(nx,12);
mo_min = zeros(nx,12);
max_day = zeros(nx,12);
min_day = zeros(nx,12);
k = 0;
for k = 1:nx  % year loop
    col_dat_yr=find(cleanup(1,:)== x(k)); % find data corresponding to year = x(k)
    data_yr=cleanup(:,col_dat_yr);
    for mmonth = 1:12
        col_dat_mo=find(data_yr(2,:)==mmonth);
        data_mo=data_yr(:,col_dat_mo);
        mo_av(k,mmonth)=mean(data_mo(4,:));
        mo_max(k,mmonth)=max(data_mo(4,:));
        mo_min(k,mmonth)=min(data_mo(4,:));
        max_day(k,mmonth)=find(data_mo(4,:)==mo_max(k,mmonth));
        min_day(k,mmonth)=find(data_mo(4,:)==mo_min(k,mmonth));
    end
end
% plot montly data 
str_mo = {'Jan'   'Feb'   'Mar'   'Apr'   'May'   'Jun'   'Jul'   'Aug'   'Sep'   'Oct'   'Nov'   'Dec'};
for ck = 1:12
    figure(ck)
    plot(x,mo_av(:,ck),'-*',x,mo_max(:,ck),'-*',x,mo_min(:,ck),'-*');
    xlabel('Years')
    title([' Monthly Data : '  str_mo(ck)]);
    legend('Avg','Max','Min');
end
4 comentarios
  Mathieu NOE
      
 el 2 de Dic. de 2022
				hello 
ok but making 12 subplots in one figure will make them barely readable
or you want 12 organized in 6 rows / 2 columns or 4 rows / 3 columns or ??
below suggestion with 4 x 3 plot

load data_matrix.mat
data=SECTION_L;
data(:,1:3)=[];
row=9;
cleanup=data([1 2 3 row],:);
% year range
y1 = 1975;
y2 = 2016;
% init
x = y1:y2;
nx = numel(x);
mo_av = zeros(nx,12);
mo_max = zeros(nx,12);
mo_min = zeros(nx,12);
max_day = zeros(nx,12);
min_day = zeros(nx,12);
k = 0;
for k = 1:nx  % year loop
    col_dat_yr=find(cleanup(1,:)== x(k)); % find data corresponding to year = x(k)
    data_yr=cleanup(:,col_dat_yr);
    for mmonth = 1:12
        col_dat_mo=find(data_yr(2,:)==mmonth);
        data_mo=data_yr(:,col_dat_mo);
        mo_av(k,mmonth)=mean(data_mo(4,:));
        mo_max(k,mmonth)=max(data_mo(4,:));
        mo_min(k,mmonth)=min(data_mo(4,:));
        max_day(k,mmonth)=find(data_mo(4,:)==mo_max(k,mmonth));
        min_day(k,mmonth)=find(data_mo(4,:)==mo_min(k,mmonth));
    end
end
% plot montly data 
str_mo = {'Jan';   'Feb';   'Mar';   'Apr';   'May';   'Jun';   'Jul';   'Aug';   'Sep';   'Oct';   'Nov';   'Dec'};
% plot "avg"
t1 = tiledlayout(4,3,'TileSpacing','Compact');
for ck = 1:12
    nexttile
    p1 = plot(x,mo_av(:,ck),'LineWidth',2);
    title(str_mo(ck))
end
% Display a shared title and axis labels by passing t to the title, xlabel, and ylabel functions.
title(t1,'Monthly Avg')
xlabel(t1,'Years')
ylabel(t1,'Temperature')
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