write a xlsx file

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assia assia 2021-7-21

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/883354-write-a-xlsx-file

评论： Walter Roberson 2021-7-21

Hello folks,

I have a mat file structed as follow and I would like to convert it to xls format.

k = load('psnr_ssim_Stokes_Double_Difference.mat')
k = 
  struct with fields:
    psnr_value_I: [7-D double]
    psnr_value_Q: [7-D double]
    psnr_value_U: [7-D double]
    ssim_value_I: [7-D double]
    ssim_value_Q: [7-D double]
    ssim_value_U: [7-D double]
    

I used this code but it didn't give me the content of the variables in a columns I got them in row. This is the code that I used

    filename = 'psnr_ssim.xlsx'
    T = table(ssim_value_I,psnr_value_I,ssim_value_Q,psnr_value_Q,ssim_value_U,psnr_value_U)
    writetable(T,filename)

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assia assia 2021-7-21

编辑：assia assia 2021-7-21

在 MATLAB Online 中打开

close all;
clear all; 
clc;
tmp_g=1;
for gain=[1000000000, 10000000000]
    tmp_r = 1;
    for real = [1,2,3,4,5]
        tmp_a =1;
        for a= [0.2,1.5,0.8500000000000001]
            tmp_i = 1;
            for incl = [0.0,45.0,90.0]
                tmp_p = 1;
                for pa = [0.0,90.0,180.0]
                    tmp_e=1;
                    for e = [0.0,0.3,0.6]
                        tmp_w=1;
                        for wave=[900,1200,1600,2200]
                            if a==0.8500000000000001
                                
                tit_stokes = sprintf('StokesParameters_Synthetic_Star_Gain_%d-Real_%d-Int_a=0.8500000000000001_incl=%3.1f_pa=%3.1f_e=%3.1f_wave=%d.fits',...
                    gain,real,incl,pa, e, wave); 
                Stokes = fitsread(tit_stokes);
                tit_double_ratio = sprintf('Linear_Separable_Model_Synthetic_Star_Gain_%d-Real_%d-a_Int_a=0.8500000000000001_incl=%3.1f_pa=%3.1f_e=%3.1f_wave=%d.fits',...
                    gain,real,incl,pa, e, wave);  
                double_ratio = fitsread(tit_double_ratio);   
                            else
                tit_stokes = sprintf('StokesParameters_Synthetic_Star_Gain_%d-Real_%d-Int_a=%3.1f_incl=%3.1f_pa=%3.1f_e=%3.1f_wave=%d.fits',...
                     gain,real,a,incl,pa, e, wave); 
                Stokes = fitsread(tit_stokes);
                tit_double_ratio = sprintf('Linear_Separable_Model_Synthetic_Star_Gain_%d-Real_%d-a_Int_a=%3.1f_incl=%3.1f_pa=%3.1f_e=%3.1f_wave=%d.fits',...
                    gain,real,a,incl,pa, e, wave);  
                double_ratio = fitsread(tit_double_ratio);   
                            end
                ssim_value_I(tmp_g,tmp_r, tmp_a, tmp_i, tmp_p, tmp_e, tmp_w) = ssim(Stokes(:,:,1),double_ratio(:,:,4));
                psnr_value_I(tmp_g,tmp_r, tmp_a, tmp_i, tmp_p, tmp_e, tmp_w) = psnr(uint8(Stokes(:,:,1)), uint8(double_ratio(:,:,4))); 
               
                ssim_value_Q(tmp_g,tmp_r, tmp_a, tmp_i, tmp_p, tmp_e, tmp_w) = ssim(Stokes(:,:,2),double_ratio(:,:,5)); 
                psnr_value_Q(tmp_g,tmp_r, tmp_a, tmp_i, tmp_p, tmp_e, tmp_w) = psnr(uint8(Stokes(:,:,2)),uint8(double_ratio(:,:,5))); 
                                
                ssim_value_U(tmp_g,tmp_r, tmp_a, tmp_i, tmp_p, tmp_e, tmp_w) = ssim(Stokes(:,:,3),double_ratio(:,:,6)); 
                psnr_value_U(tmp_g,tmp_r, tmp_a, tmp_i, tmp_p, tmp_e, tmp_w) = psnr(uint8(Stokes(:,:,3)),uint8(double_ratio(:,:,6)));
                 
               
                           tmp_w=tmp_w+1;
                        end
                        tmp_e=tmp_e+1 ;                   
                    end
                    tmp_p=tmp_p+1 ;                      
                end
                tmp_i=tmp_i+1;                   
             end
             tmp_a=tmp_a+1;              
        end 
        tmp_r=tmp_r+1;    
    end
    tmp_g=tmp_g+1;       
end
save('psnr_ssim_Stokes_Linear_Seperable.mat','ssim_value_I','psnr_value_I','ssim_value_Q','psnr_value_Q','ssim_value_U','psnr_value_U')

Here's the full code.

Walter Roberson 2021-7-21

在 MATLAB Online 中打开

if a==0.8500000000000001

Never compare floating point numbers for equality, except under the following circumstances:

in some cases, it is important to know if the number is exactly 0, such as to prevent division by 0
You can compare for equality if both numbers are derived from the same source, such as testing (x == min(x))
if the floating point numbers are all really integers and are never calculated as non-integers, then you can compare the values for equality. For example, never (0:1/3:1)*3 compared to an integer, as the 1/3 suffers floating point round-off. If you need 0:1/3:1 then it is safer to use (0:3)/3
comparing to literal 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875 are safe, but only provided that the values were set by literals, not by calculations that "should" mathematically result in one of the values

So, instead of

        tmp_a =1;
        for a= [0.2,1.5,0.8500000000000001]
          stuff
          tmp_a = tmp_a + 1;
        end

use something like

        a_vals = [0.2,1.5,0.8500000000000001];
        for tmp_a = 1 : length(a_vals)
            a = a_vals(tmp_a);
            stuff
        end

and then instead of comparing a==0.8500000000000001 compare indices, tmp_a == length(a_vals)

assia assia 2021-7-21

编辑：assia assia 2021-7-21

在 MATLAB Online 中打开

data = load("data.mat")
k = struct2table(data)
writetable(k,'data.csv')

Walter Roberson 2021-7-21

在 MATLAB Online 中打开

Is "data.mat" the same file as in

save('psnr_ssim_Stokes_Linear_Seperable.mat','ssim_value_I','psnr_value_I','ssim_value_Q','psnr_value_Q','ssim_value_U','psnr_value_U')

? If so then 'ssim_value_I' is length(g_vals) by 6 other dimensions, and you have two different g_vals, so ssim_value_I would be 2 x 6 other dimensions. When you do the struct2table() the 2 x something becomes a table with two rows.

You can convert to individual variables by using splitvars(); see https://www.mathworks.com/help/matlab/ref/table.splitvars.html

... but keep in mind that you will then have a table with a lot of different columns, each of which is only 2 rows long.

I would suggest to you that you should be considering permute() and then reshape() to get the data in the order you want.

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write a xlsx file

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write a xlsx file

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