Save matrices of a loop iteration in one matrix - matlab

I have a loop that makes a 100x10 matrix in every iteration, i want to save all the matrices of this loop in one matrix. assuming that i have a loop with 5 iterations, i want to have a 500x10 matrix in the end (after appending all the 5 matrices of the loop).
for ii = 1:numfiles
str = fullfile(PathName,FileName{ii});
file_id = fopen(str);
data = fread (file_id)';
....
s = zeros (100, 10);
%doing some stuffs
save('s_all', 's','-append');
end
I have used save('s_all', 's','-append');
but it doesn't append the matrices. How can i do that?

As you can read in the document:
save(filename,variables,'-append') adds new variables to an existing file. If a variable already exists in a MAT-file, then save overwrites it with the value in the workspace.
Therefore, save just adds a variable at the end of the .mat file, not to add at the end of a variable inside the .mat file.
Solution 1:
To write matrix into the file it would be better using dlmwrite likes the following:
dlmwrite(filename,s,'-append');
You can find more details here.
In a complete case you can do:
filename = 's_all.csv';
for ii = 1:numfiles
str = fullfile(PathName,FileName{ii});
file_id = fopen(str);
data = fread (file_id)';
% ...
s = zeros (100, 10);
%doing some stuffs
dlmwrite(filename,s,'-append');
end
Solution 2:
The other solution is each time load the specified matrix, then attach the matrices into it, and then append to the file.
filename = 'file.mat';
% suppose originMatrix is an empty matrix or a matrix with columns size 10
for ii = 1:numfiles
load(filename,'originMatrix');
s = zeros (100, 10);
%doing some stuffs
originMatrix = [originMatrix; s];
save(filename,'originMatrix','-append');
end

Related

Save the data in a form of three columns in text files

This function reads the data from multiple mat files and save them in multiple txt files. But the data (each value) are saved one value in one column and so on. I want to save the data in a form of three columns (coordinates) in the text files, so each row has three values separated by space. Reshape the data before i save them in a text file doesn't work. I know that dlmwrite should be modified in away to make newline after three values but how?
mat = dir('*.mat');
for q = 1:length(mat)
load(mat(q).name);
[~, testName, ~] = fileparts(mat(q).name);
testVar = eval(testName);
pos(q,:,:) = testVar.Bodies.Positions(1,:,:);
%pos=reshape(pos,2,3,2000);
filename = sprintf('data%d.txt', q);
dlmwrite(filename , pos(q,:,:), 'delimiter','\t','newline','pc')
end
My data structure:
These data should be extracted from each mat file and stored in the corresponding text files like this:
332.68 42.76 42.663 3.0737
332.69 42.746 42.655 3.0739
332.69 42.75 42.665 3.074
A TheMathWorks-trainer once told me that there is almost never a good reason nor a need to use eval. Here's a snippet of code that should solve your writing problem using writematrix since dlmwrite is considered to be deprecated.
It further puts the file-handling/loading on a more resilient base. One can access structs dynamically with the .(FILENAME) notation. This is quite convenient if you know your fields. With who one can list variables in the workspace but also in .mat-files!
Have a look:
% path to folder
pFldr = pwd;
% get a list of all mat-files (returns an array of structs)
Lst = dir( fullfile(pFldr,'*.mat') );
% loop over files
for Fl = Lst.'
% create path to file
pFl = fullfile( Fl.folder, Fl.name );
% variable to load
[~, var2load, ~] = fileparts(Fl.name);
% get names of variables inside the file
varInfo = who('-file',pFl);
% check if it contains the desired variables
if ~all( ismember(var2load,varInfo) )
% display some kind of warning/info
disp(strcat("the file ",Fl.name," does not contain all required varibales and is therefore skipped."))
% skip / continue with loop
continue
end
% load | NO NEED TO USE eval()
Dat = load(pFl, var2load);
% DO WHATEVER YOU WANT TO DO
pos = squeeze( Dat.(var2load)(1,:,1:2000) );
% create file name for text file
pFl2save = fullfile( Fl.folder, strrep(Fl.name,'.mat','.txt') );
writematrix(pos,pFl2save,'Delimiter','\t')
end
To get your 3D-matrix data into a 2D matrix that you can write nicely to a file, use the function squeeze. It gets rid of empty dimensions (in your case, the first dimension) and squeezes the data into a lower-dimensional matrix
Why don't you use writematrix() function?
mat = dir('*.mat');
for q = 1:length(mat)
load(mat(q).name);
[~, testName, ~] = fileparts(mat(q).name);
testVar = eval(testName);
pos(q,:,:) = testVar(1,:,1:2000);
filename = sprintf('data%d.txt', q);
writematrix(pos(q,:,:),filename,'Delimiter','space');
end
More insight you can find here:
https://www.mathworks.com/help/matlab/ref/writematrix.html

Matlab: Error using readtable (line 216) Input must be a row vector of characters or string scalar

I gave the error Error using readtable (line 216) Input must be a row vector of characters or string scalar when I tried to run this code in Matlab:
clear
close all
clc
D = 'C:\Users\Behzad\Desktop\New folder (2)';
filePattern = fullfile(D, '*.xlsx');
file = dir(filePattern);
x={};
for k = 1 : numel(file)
baseFileName = file(k).name;
fullFileName = fullfile(D, baseFileName);
x{k} = readtable(fullFileName);
fprintf('read file %s\n', fullFileName);
end
% allDates should be out of the loop because it's not necessary to be in the loop
dt1 = datetime([1982 01 01]);
dt2 = datetime([2018 12 31]);
allDates = (dt1 : calmonths(1) : dt2).';
allDates.Format = 'MM/dd/yyyy';
% 1) pre-allocate a cell array that will store
% your tables (see note #3)
T2 = cell(size(x)); % this should work, I don't know what x is
% the x is xlsx files and have different sizes, so I think it should be in
% a loop?
% creating loop
for idx = 1:numel(x)
T = readtable(x{idx});
% 2) This line should probably be T = readtable(x(idx));
sort = sortrows(T, 8);
selected_table = sort (:, 8:9);
tempTable = table(allDates(~ismember(allDates,selected_table.data)), NaN(sum(~ismember(allDates,selected_table.data)),size(selected_table,2)-1),'VariableNames',selected_table.Properties.VariableNames);
T2 = outerjoin(sort,tempTable,'MergeKeys', 1);
% 3) You're overwriting the variabe T2 on each iteration of the i-loop.
% to save each table, do this
T2{idx} = fillmissing(T2, 'next', 'DataVariables', {'lat', 'lon', 'station_elevation'});
end
the x is each xlsx file from the first loop. my xlsx file has a different column and row size. I want to make the second loop process for all my xlsx files in the directory.
did you know what is the problem? and how to fix it?
Readtable has one input argument, a filename. It returns a table. In your code you have the following:
x{k} = readtable(fullFileName);
All fine, you are reading the tables and storing the contents in x. Later in your code you continue with:
T = readtable(x{idx});
You already read the table, what you wrote is basically T = readtable(readtable(fullFileName)). Just use T=x{idx}

MATLAB: export scalars within for loop to text file

I have a large number of text files that I have to read, find the max value for a certain column, and the corresponding time. The for loop for finding these values works fine, but my problem is writing a text file that shows the three variables I need (thisfilename, M, and wavetime) for each iteration of the for loop.
Output_FileName_MaxWaveHeights = ['C:\Users\jl44459\Desktop\QGIS_and_Basement\BASEMENT\Mesh_5_2045\Run_A\','MaxWaveHeights.txt'];
writefile = fopen(Output_FileName_MaxWaveHeights,'a');
dinfo = dir('*.dat');
for K = 1 : length(dinfo)
thisfilename = dinfo(K).name; %just the name of the file
fileID = fopen(thisfilename); %creates numerical ID for the file name
thisdata = textscan(fileID,'%f64%f64%f64%f64%f64%f64%f64',500,'HeaderLines',1); %load just this file
thisdataM = cell2mat(thisdata); %transforms file from cell array to matrix
[M,I] = max(thisdataM(:,5)); %finds max WSE and row it's in
wavetime = 2*(I-1); %converts column of max WSE to time
fprintf(writefile,'%s %8.4f %4.0f \r\n',thisfilename,M,wavetime);
fclose(fileID); %closes file to make space for next one
end
The text file ends up just giving me the values for one iteration instead of all of them. I was able to use displaytable as a workaround, but then I have problems writing "thisfilename", which includes non-numerical characters.
Although I am not able to reproduce the issue with the code provided, a possible solution might be to write to the file outside of the loop and to close the file afterwards:
Output_FileName_MaxWaveHeights = ['C:\Users\jl44459\Desktop\QGIS_and_Basement\BASEMENT\Mesh_5_2045\Run_A\','MaxWaveHeights.txt'];
writefile = fopen(Output_FileName_MaxWaveHeights,'a');
s = [];
dinfo = dir('*.dat');
for K = 1 : length(dinfo)
thisfilename = dinfo(K).name; %just the name of the file
fileID = fopen(thisfilename); %creates numerical ID for the file name
thisdata = textscan(fileID,'%f64%f64%f64%f64%f64%f64%f64',500,'HeaderLines',1); %load just this file
thisdataM = cell2mat(thisdata); %transforms file from cell array to matrix
[M,I] = max(thisdataM(:,5)); %finds max WSE and row it's in
wavetime = 2*(I-1); %converts column of max WSE to time
s = [s, fprintf(writefile,'%s %8.4f %4.0f \r\n',thisfilename,M,wavetime)];
fclose(fileID); %closes file to make space for next one
end
fprintf(writefile,s);
fclose(writefile);
Solved--it was simply me forgetting to close the output file after the loop. Thanks for the help!

How to store .csv data and calculate average value in MATLAB

Can someone help me to understand how I can save in matlab a group of .csv files, select only the columns in which I am interested and get as output a final file in which I have the average value of the y columns and standard deviation of y axes? I am not so good in matlab and so I kindly ask if someone to help me to solve this question.
Here what I tried to do till now:
clear all;
clc;
which_column = 5;
dirstats = dir('*.csv');
col3Complete=0;
col4Complete=0;
for K = 1:length(dirstats)
[num,txt,raw] = xlsread(dirstats(K).name);
col3=num(:,3);
col4=num(:,4);
col3Complete=[col3Complete;col3];
col4Complete=[col4Complete;col4];
avgVal(K)=mean(col4(:));
end
col3Complete(1)=[];
col4Complete(1)=[];
%columnavg = mean(col4Complete);
%columnstd = std(col4Complete);
% xvals = 1 : size(columnavg,1);
% plot(xvals, columnavg, 'b-', xvals, columnavg-columnstd, 'r--', xvals, columnavg+columstd, 'r--');
B = reshape(col4Complete,[5000,K]);
m=mean(B,2);
C = reshape (col4Complete,[5000,K]);
S=std(C,0,2);
Now I know that I should compute mean and stdeviation inside for loop, using mean()function, but I am not sure how I can use it.
which_column = 5;
dirstats = dir('*.csv');
col3Complete=[]; % Initialise as empty matrix
col4Complete=[];
avgVal = zeros(length(dirstats),2); % initialise as columnvector
for K = 1:length(dirstats)
[num,txt,raw] = xlsread(dirstats(K).name);
col3=num(:,3);
col4=num(:,4);
col3Complete=[col3Complete;col3];
col4Complete=[col4Complete;col4];
avgVal(K,1)=mean(col4(:)); % 1st column contains mean
avgVal(K,2)=std(col4(:)); % 2nd column contains standard deviation
end
%columnavg = mean(col4Complete);
%columnstd = std(col4Complete);
% xvals = 1 : size(columnavg,1);
% plot(xvals, columnavg, 'b-', xvals, columnavg-columnstd, 'r--', xvals, columnavg+columstd, 'r--');
B = reshape(col4Complete,[5000,K]);
meanVals=mean(B,2);
I didn't change much, just initialised your arrays as empty arrays so you do not have to delete the first entry later on and made avgVal a column vector with the mean in column 1 and the standard deviation in column 1. You can of course add two columns if you want to collect those statistics for your 3rd column in the csv as well.
As a side note: xlsread is rather heavy for reading files, since Excel is horribly inefficient. If you want to read a structured file such as a csv, it's faster to use importdata.
Create some random matrix to store in a file with header:
A = rand(1e3,5);
out = fopen('output.csv','w');
fprintf(out,['ColumnA', '\t', 'ColumnB', '\t', 'ColumnC', '\t', 'ColumnD', '\t', 'ColumnE','\n']);
fclose(out);
dlmwrite('output.csv', A, 'delimiter','\t','-append');
Load it using csvread:
data = csvread('output.csv',1);
data now contains your five columns, without any headers.

Save a sparse array in csv

I have a huge sparse matrix a and I want to save it in a .csv. I can not call full(a) because I do not have enough ram memory. So, calling dlmwrite with full(a) argument is not possible. We must note that dlmwrite is not working with sparse formatted matrices.
The .csv format is depicted below. Note that the first row and column with the characters should be included in the .csv file. The semicolon in the (0,0) position of the .csv file is necessary too.
;A;B;C;D;E
A;0;1.5;0;1;0
B;2;0;0;0;0
C;0;0;1;0;0
D;0;2.1;0;1;0
E;0;0;0;0;0
Could you please help me to tackle this problem and finally save the sparse matrix in the desired form?
You can use csvwrite function:
csvwrite('matrix.csv',a)
You could do this iteratively, as follows:
A = sprand(20,30000,.1);
delimiter = ';';
filename = 'filecontaininghugematrix.csv';
dims = size(A);
N = max(dims);
% create names first
idx = 1:26;
alphabet = dec2base(9+idx,36);
n = ceil(log(N)/log(26));
q = 26.^(1:n);
names = cell(sum(q),1);
p = 0;
for ii = 1:n
temp = repmat({idx},ii,1);
names(p+(1:q(ii))) = num2cell(alphabet(fliplr(combvec(temp{:})')),2);
p = p + q(ii);
end
names(N+1:end) = [];
% formats for writing
headStr = repmat(['%s' delimiter],1,dims(2));
headStr = [delimiter headStr(1:end-1) '\n'];
lineStr = repmat(['%f' delimiter],1,dims(2));
lineStr = ['%s' delimiter lineStr(1:end-1) '\n'];
fid = fopen(filename,'w');
% write header
header = names(1:dims(2));
fprintf(fid,headStr,header{:});
% write matrix rows
for ii = 1:dims(1)
row = full(A(ii,:));
fprintf(fid, lineStr, names{ii}, row);
end
fclose(fid);
The names cell array is quite memory demanding for this example. I have no time to fix that now, so think about this part yourself if it is really a problem ;) Hint: just write the header element wise, first A;, then B; and so on. For the rows, you can create a function that maps the index ii to the desired character, in which case the complete first part is not necessary.