I have several datasets, called '51.raw' '52.raw'... until '69.raw' and after I run these datasets in my code the size of these datasets changes from 375x91x223 to sizes with varying y-dimensions (i.e. '51.raw' output: 375x45x223; '52.raw' output: 375x50x223, ... different with each dataset).
I want to later save the '.raw' file name with this information (i.e. '51_375x45x223.raw') and also want to use the new dataset size to later reshape the dataset within my code. I have attempted to do this but need help:
for k=51:69
data=reshape(data,[375 91 223]); % from earlier in the code after importing data
% then executes code with dimensions of 'data' chaging to 375x45x223, ...
length=size(data); dimensions.([num2str(k)]) = length; %save size in 'dimensions'.
path=['C:\Example\'];
name= sprintf('%d.raw',k);
write([path name], data);
% 'write' is a function to save the dat in specified path and name (value of k). I don't know how to add the size of the dataset to the name.
Also later I want to reshape the dataset 'data' for this iteration and do a reshape with the new y dimensions value.
i.e. data=reshape(data,[375 new y-dimension 223]);
Your help will be appreciated. Thanks.
You can easily convert your dimensions to a string which will be saved as a file.
% Create a string of the form: dim1xdim2xdim3x...
dims = num2cell(size(data));
dimstr = sprintf('%dx', dims{:});
dimstr = dimstr(1:end-1);
% Append this to your "normal" filename
folder = 'C:\Example\';
filename = fullfile(folder, sprintf('%d_%s.raw', k, dimstr));
write(filename, data);
That being said, it is far better include this dimension information within the file itself rather than relying on the filename.
As a side note, avoid using names of internal functions as variable names such as length, and path. This can potentially result in strange and unexpected behavior in the future.
Update
If you need to parse the filename, you could use textscan to do that:
filename = '1_2x3x4.raw';
ndims = sum(filename == 'x') + 1;
fspec = repmat('%dx', [1 ndims]);
parts = textscan(filename, ['%d_', fspec(1:end-1)]);
% Then load your data
% Now reshape it based on the filename
data = reshape(data, parts{2:end});
Related
I am currently working with a script that saves matrices as .mat files from other .mat files. I need to save 96 separate files so I have a loop that goes through the matrix names. I need to have the matrices saved with specific titles, that I have saved the titles in cell arrays {}. However, when I use the save(filename,variable) function, I get an error saying:
Error using save
Must be a text scalar.
Error in File_Creator (line 35)
save(name,fname);
My matrices need to be named 'PHI_Af','PHI_Am' (so on until) 'SLR_EF' (so every cr value needs to have a matrix with every par value. Here is what I am currently attempting:
cr = {'Af','Am','As','Aw','BS','BW','Cs','Cw','Cf','Ds','Dw','Df','ET','EF'};
par = {'PHI','BLD','KS','LAMBDA','PSIS','SLR'};
underscore = {'_'};
%% i and j are parameters in a loop where i = 1:length(par) and j = 1:length(cr)
%% f is the variable currently storing the matrix
s.(horzcat(par{i},underscore{1},cr{j})) = f;
name = string(strcat(par{i},'_',cr{j},'.mat'));
fname = string(s.(horzcat(par{i},underscore{1},cr{j})));
save(name,fname);
When I replace 'fname' with a generic string e.g. 'f', then the command runs but all the matrices save as the same thing ('f'), which makes it extremely difficult to run them all in the same script later.
I hope somebody can tell me what I'm doing wrong or provide me with a better solution. Please let me know if I can provide any more information.
Thank you
Assuming that the matrix, f, changes in each iteration of the loop (due to some other code you didn't post), it seems like this is all the code you need:
cr = {'Af','Am','As','Aw','BS','BW','Cs','Cw','Cf','Ds','Dw','Df','ET','EF'};
par = {'PHI','BLD','KS','LAMBDA','PSIS','SLR'};
for i = 1:length(par)
for j = 1:length(cr)
% add code here that loads the matrix f
name = [par{i}, '_', cr{j}, '.mat'];
save(name, 'f');
end
end
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
I need to import a .txt datafile into Matlab. The file has been made into 3 columns. Each column has specific numbers for a given variable. The script code must be able to do the following,
Requirement
1) import the data from txt into Matlab
2) Matlab should remove the values from the columns if the values are out of a certain range
3) Matlab should tell which line and what type of error.
My Approach
I have tried using the following approach,
function data = insertData(filename)
filename = input('Insert the name of the file: ', 's');
data = load(filename);
Column1 = data(:,1);
Column2 = data(:,2);
Column3 = data(:,3);
%Ranges for each column
nclm1 = Column1(Column1>0);
nclm2 = Column2(Column2 >= 10 & Column2 <= 100);
nclm3 = Column3(Column3>0);
%Final new data columns within the ranges
final = [nclm1, nclm2, nclm3];
end
Problem
The above code has the following problems:
1) Matlab is not saving the imported data as 'data' after the user inserts the name of the file. Hence I don't know why my code is wrong.
filename =input('Insert the name of the file: ', 's');
data = load(filename);
2) The columns in the end do not have the same dimensions because I can see that Matlab removes values from the columns independently. Therefore is there a way in which I can make Matlab remove values/rows from a matrix rather than the three 'vectors', given a range.
1) Not sure what you mean by this. I created a sample text file and Matlab imports the data as data just fine. However, you are only returning the original unfiltered data so maybe that is what you mean??? I modified it to return the original data and the filtered data.
2) You need to or the bad indices together so that they are removed from each column like this. Note I made some other edits ... see comments in the code below:
function [origData, filteredData]= insertData(filename)
% You pass in filename then overwrite it ...
% Modified to only prompt if not passed in.
if ~exist('filename','var') || isempty(filename)
filename = input('Insert the name of the file: ', 's');
end
origData = load(filename);
% Ranges check for each column
% Note: return these if you want to know what data was filter for
% which reason
badIdx1 = origData(:,1) > 0;
badIdx2 = origData(:,2) >= 10 & origData(:,2) <= 100;
badIdx3 = origData(:,3)>0;
totalBad = badIdx1 | badIdx2 | badIdx3;
%Final new data columns within the ranges
filteredData = origData(~totalBad,:);
end
Note: you mentioned you want to know which line for which type of error. That information is now contained in badIDx1,2, 3. So you can return them, print a message to the screen, or whatever you need to display that information.
very very new to Matlab and I'm having trouble reading a binary file into a matrix. The problem is I am trying to write the binary file into a two column matrix (which has 100000's of rows) where each column is a different format type.
I want column 1 to be in 'int8' format and column 2 to be a 'float'
This is my attempt so far:
FileID= fopen ('MyBinaryFile.example');
[A,count] = fread(FileID,[nrows, 2],['int8','float'])
This is not working because I get the error message 'Error using fread' 'Invalid Precision'
I will then go on to plot once I have successfully done this.
Probably a very easy solution to someone with matlab experience but I haven't been successful at finding a solution on the internet.
Thanks in advance to anyone who can help.
You should be aware that Matlab cannot hold different data type in a matrix (it can do so in a cell array but this is another topic). So there is no point trying to read your mixed type file in one go in one single matrix ... it is not possible.
Unless you want a cell array, you will have to use 2 different variables for your 2 columns of different type. Once this is established, there are many ways to read such a file.
For the purpose of the example, I had to create a binary file as you described. This is done this way:
%% // write example file
A = int8(-5:5) ; %// a few "int8" data
B = single(linspace(-3,1,11)) ; %// a few "float" (=single) data
fileID = fopen('testmixeddata.bin','w');
for il=1:11
fwrite(fileID,A(il),'int8');
fwrite(fileID,B(il),'single');
end
fclose(fileID);
This create a 2 column binary file, with first column: 11 values of type int8 going from -5 to +5, and second column: 11 values of type float going from -3 to 1.
In each of the solution below, the first column will be read in a variable called C, and the second column in a variable called D.
1) Read all data in one go - convert to proper type after
%% // Read all data in one go - convert to proper type after
fileID = fopen('testmixeddata.bin');
R = fread(fileID,'uint8=>uint8') ; %// read all values, most basic data type (unsigned 8 bit integer)
fclose(fileID);
R = reshape( R , 5 , [] ) ; %// reshape data into a matrix (5 is because 1+4byte=5 byte per column)
temp = R(1,:) ; %// extract data for first column into temporary variable (OPTIONAL)
C = typecast( temp , 'int8' ) ; %// convert into "int8"
temp = R(2:end,:) ; %// extract data for second column
D = typecast( temp(:) , 'single' ) ; %// convert into "single/float"
This is my favourite method. Specially for speed because it minimizes the read/seek operations on disk, and most post calculations are done in memory (much much faster than disk operations).
Note that the temporary variable I used was only for clarity/verbose, you can avoid it altogether if you get your indexing into the raw data right.
The key thing to understand is the use of the typecast function. And the good news is it got even faster since 2014b.
2) Read column by column (using "skipvalue") - 2 pass approach
%% // Read column by column (using "skipvalue") - 2 pass approach
col1size = 1 ; %// size of data in column 1 (in [byte])
col2size = 4 ; %// size of data in column 2 (in [byte])
fileID = fopen('testmixeddata.bin');
C = fread(fileID,'int8=>int8',col2size) ; %// read all "int8" values, skipping all "float"
fseek(fileID,col1size,'bof') ; %// rewind to beginning of column 2 at the top of the file
D = fread(fileID,'single=>single',col1size) ; %// read all "float" values, skipping all "int8"
fclose(fileID);
That works too. It works fine ... but probably much slower than above. Although it may be clearer code to read for someone else ... I find that ugly (and yet I've used this way for several years until I got to use the method above).
3) Read element by element
%% // Read element by element (slow - not recommended)
fileID = fopen('testmixeddata.bin');
C=[];D=[];
while ~feof(fileID)
try
C(end+1) = fread(fileID,1,'int8=>int8') ;
D(end+1) = fread(fileID,1,'single=>single') ;
catch
disp('reached End Of File')
end
end
fclose(fileID);
Talking about ugly code ... that does work too, and if you were writing C code it would be more than ok. But in Matlab ... please avoid ! (well, your choice ultimately)
Merging in one variable
If really you want all of that in one single variable, it could be a structure or a cell array. For a cell array (to keep matrix indexing style), simply use:
%% // Merge into one "cell array"
Data = { C , D } ;
Data =
[11x1 int8] [11x1 single]
I have a text file that is ~80MB. It has 2 cols and around 6e6 rows. I would like to import the data into MATLAB, but it is too much data to do with the load function. I have been playing around with the fopen function but cant get anything to work.
Ideally I would like to take the first col of data and import and eventually have it in one large array in MATLAB. If that isn't possible, I would like to split it into arrays of 34,013 in length. I would also like to do the same for the 2nd col of data.
fileID = fopen('yourfilename.txt');
formatSpec = '%f %f';
while ~feof(fileID)
C = textscan(fileID,formatSpec,34013);
end
Hope this helps..
Edit:
The reason you are getting error is because C has two columns. So you need to take the columns individually and handle them.
For example:
column1data = reshape(C(:,1),301,113);
column2data = reshape(C(:,2),301,113);
You may also consider to convert your file to binary format if your data file is not changing each time you want to load it. Then you'll load it way much faster.
Or you may do "transparent binary conversion" like in the function below. Only first time you load the data will be slow. All subsequent will be fast.
function Data = ReadTextFile(FileName,NColumns)
MatFileName = sprintf('%s.mat',FileName); % binary file name
if exist(MatFileName,'file')==2 % if it exists
S = load(MatFileName,'Data'); % load it instead of
Data = S.Data; % the original text file
return;
end
fh = fopen(FileName); % if binary file does not exist load data ftom the original text file
fh_closer = onCleanup( #() fclose(fh) ); % the file will be closed properly even in case of error
Data = fscanf(fh, repmat('%f ',1,NColumns), [NColumns,inf]);
Data = Data';
save(MatFileName,'Data'); % and make binary "chache" of the original data for faster subsequent reading
end
Do not forget to remove the MAT file when the original data file is changed.