I want to write a function that takes number n as input, then outputs a tab separated word document that looks like 5 rows of:
1 2 3...n n n-1 n-2 ..1
Let me tell you what I have tried already: It is easy to create a vector like this with the integers I want, but if I save a file in an ascii format, in the output the integers come out in a format like " 1.0000000e+00".
Now I googled to find that the output can be formatted using %d and fprintf, but given the row length is part of the input, what would be the most efficient way to achieve it?
maybe something like this:
Nrow = 5;
N = 10;
dlmwrite('my_filename.txt', repmat([1:N, N:-1:1], Nrow, 1), 'delimiter', '\t', 'precision', '%d');
If you mean a normal *.txt kind of file, I would normally use a for loop with fprintf(fileid,'%d things to print',5), with the appropriate fopen(.) statement. You'd be surprised what a good job fopen with 'w' and 'a' does. Try it and let us know!
In response to rayryeng: You are right! Here is a sample of code for writing a matrix to file using fprintf, without a for-loop.
A=rand(5);
fid=fopen('Rand_mat.txt','w');
fprintf(fid,'%0.4f %0.4f %0.4f %0.4f %0.4f\n',A');
fclose (fid);
where A is transposed because MATLAB reads the columns of the matrix first.
Thanks!
Related
I am working on analysis of a large data set using matlab. I would like to be able to run something along the lines of the fprintf command on this matrix, which has about 22000 columns. So, here is what I had in mind so far:
j=22;
for i = 1:j;
fname = fopen(strcat('chr', num2str(i), '.out'), 'r');
A = fscanf(fname, '%d', [1000,inf]);
FIDW = fopen(strcat('chrproc', num2str(i), '.out'), 'w+');
fprintf(FIDW, '%d\t%d\t%d\t%d\t%d\t%d\t\n', B);
end
there are 22 files this size that will be turned into matrices via lines 1-4. However, the tricky part (at least for me) is that fprintf asks you for the FORMAT. Because these files are so large, there is no real way to enter in %d\t.
Perhaps the fgetl command is better? But fgetl does not print to a file, and more importantly, fgetl returns a string, which does not work well for me. Really, something like the fscanf command would be great, except that reads instead of printing...
Thank you very much for your help and advice.
You may use one of the options described in this matlab doc. The possibilities are:
save -ascii (beware of the scientific notation)
dlmwrite
fprintf as you mentionned, with having format defined as fmt = repmat('%d\t',1,8); (8 to be replaced by your actual number of columns)
Alternatively, you can use the following File Exchange function called saveascii.
Marsei's answer is correct. However in matlab coder I had to take a different approach (works in regular matlab also):
function printmatrix(matrix)
matrix = matrix';%transpose
[rows, cols] = size(matrix);
format=['%-10g ' 0];
for i=1:cols
for j=1:rows
fprintf(format,matrix(j,i));%Flipped because of matlab
end
fprintf('\n');
end
fprintf('Size of matrix: %g x %g\n', cols, rows);%Backwards because we invert it.
end
See:
https://stackoverflow.com/questions/38601352/how-to-print-a-matrix-in-matlab-coder
This also works (but not in matlab coder):
m=magic(5);
[rows cols] = size(m);
x = repmat('%4.0f\t',1,(cols-1));
fprintf([x,'%4.0f\n'],m');
I want to have a look at a large matrix in MATLAB such that all columns are printed in one single line rather than spread out over several lines.
Is such thing possible? That would be great to know.
Try disp(matrixName(:)). The matrixName(:) command turns your matrix into a long vector in column-major order, so it basically just shows you the first column, followed by the second, the third, etc.
If that does not do the trick, you could look into the doprint command.
EDIT: You could also save the matrix to a text file and view the file. You do this like so:
fileID = fopen('C:/path/to/file/myMatrix.txt');
fprintf(fileID, formatString, myMat);
fclose(fileID);
fopen documentation
fprintf documentation
Additional information can be found here
The formatString variable in the above tells fprintf how the data should be displayed. If you have a really big matrix with tons of columns, where all of the values are floats, the easiest way to create this string is to use something like:
formatString = strcat(repmat('%f ', 1, size(myMat, 2)), '\n');
This will create a long string specifying that each element in your matrix is a float, and where it goes, and then cap it off with a line feed so that the next row of your matrix starts on the next line.
Suppress your original matrix with a semicolon and then use the "disp" command to show your matrix however you want.
for i = 1 : length(matrix(1,:))
disp(matrix(:,i))
end
Some "obvious" answers:
You can choose a smaller font - then more values will fit in a line
You can play with the format command to have less digits displayed
(my favourite) Use the variable viewer - via "open selection" or Ctrl-D when the name of a variable is highlighted. This will show your matrix in an excel-like table.
I've been fighting with fprintf for an hour now, should be easy but it's not apparently.
Have a vector with descriptive statistics called datasave, contains 9 numbers like average, standard dev, kurtosis etc.
And I have a vector datalabels with the lablels 'Average' , 'St.dev', 'Kurt' etc.
Open a file with fileopen
print the labels
new line
print the values ( exactly under the labels!)
close the file
This is what I've tried so far:
fileID = fopen('descstat2.txt','w');
fprintf(fileID,'MediaTonnes MinTonnes MaxTonnes Sigma Skew Kurt SigmadTonnes SkewdTonnes KurtdTonnes\r\n');
format short;
fprintf(fileID, '%g\t%g\t%g\n', datasave.');
Help?
I have at least 50 different combinations so I can't really give you my output...
Maybe try this:
fileID = fopen('descstat2.txt','w');
fprintf(fileID,'%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\r\n', datalabels);
fprintf(fileID, '%g\t%g\t%g\t%g\t%g\t%g\t%g\t%g\t%g\r\n', datasave);
fclose
To use XLSWRITE you need to create a cell array:
out = [datalabels(:)'; num2cell(datasave)];
xlswrite('descstat2', out)
If the file you are saving to is exist as a text file, xlswrite will save it as a text as well.
It probably will be slower that fprintf (due to COM interface) but you don't have to deal with formatting the output. Just need to convert everything to cells.
Another option is to use TBLWRITE from Statistical Toolbox. You can just do:
tblwrite(datasave, datalabels, [], filename, '\t')
It will also put row numbers or labels specified as 3rd argument. Might be useful for some data.
I've written a script that saves its output to a CSV file for later reference, but the second script for importing the data takes an ungainly amount of time to read it back in.
The data is in the following format:
Item1,val1,val2,val3
Item2,val4,val5,val6,val7
Item3,val8,val9
where the headers are on the left-most column, and the data values take up the remainder of the row. One major difficulty is that the arrays of data values can be different lengths for each test item. I'd save it as a structure, but I need to be able to edit it outside the MATLAB environment, since sometimes I have to delete rows of bad data on a computer that doesn't have MATLAB installed. So really, part one of my question is: Should I save the data in a different format?
Second part of the question:
I've tried importdata, csvread, and dlmread, but I'm not sure which is best, or if there's a better solution. Right now I'm using my own script using a loop and fgetl, which is horribly slow for large files. Any suggestions?
function [data,headers]=csvreader(filename); %V1_1
fid=fopen(filename,'r');
data={};
headers={};
count=1;
while 1
textline=fgetl(fid);
if ~ischar(textline), break, end
nextchar=textline(1);
idx=1;
while nextchar~=','
headers{count}(idx)=textline(1);
idx=idx+1;
textline(1)=[];
nextchar=textline(1);
end
textline(1)=[];
data{count}=str2num(textline);
count=count+1;
end
fclose(fid);
(I know this is probably terribly written code - I'm an engineer, not a programmer, please don't yell at me - any suggestions for improvement would be welcome, though.)
It would probably make the data easier to read if you could pad the file with NaN values when your first script creates it:
Item1,1,2,3,NaN
Item2,4,5,6,7
Item3,8,9,NaN,NaN
or you could even just print empty fields:
Item1,1,2,3,
Item2,4,5,6,7
Item3,8,9,,
Of course, in order to pad properly you would need to know what the maximum number of values across all the items is before hand. With either format above, you could then use one of the standard file reading functions, like TEXTSCAN for example:
>> fid = fopen('uneven_data.txt','rt');
>> C = textscan(fid,'%s %f %f %f %f','Delimiter',',','CollectOutput',1);
>> fclose(fid);
>> C{1}
ans =
'Item1'
'Item2'
'Item3'
>> C{2}
ans =
1 2 3 NaN %# TEXTSCAN sets empty fields to NaN anyway
4 5 6 7
8 9 NaN NaN
Instead of parsing the string textline one character at a time. You could use strtok to break the string up for example
stringParts = {};
tline = fgetl(fid);
if ~ischar(tline), break, end
i=1;
while 1
[stringParts{i},r]=strtok(tline,',');
tline=r;
i=i+1;
if isempty(r), break; end
end
% store the header
headers{count} = stringParts{1};
% convert the data into numbers
for j=2:length(stringParts)
data{count}(j-1) = str2double(stringParts{j});
end
count=count+1;
I've had the same problem with reading csv data in Matlab, and I was surprised by how little support there is for this, but then I just found the import data tool. I'm in r2015b.
On the top bar in the "Home" tab, click on "Import Data" and choose the file you'd like to read. An app window will come up like this:
Import Data tool screenshot
Under "Import Selection" you have the option to "generate function", which gives you quite a bit of customization options, including how to fill empty cells, and what you'd like the output data structure to be. Plus it's written by MathWorks, so it's probably utilizing the fastest available method to read csv files. It was almost instantaneous on my file.
Q1) If you know the max number of columns you can fill empty entries with NaN
Also, if all values are numerical, do you really need "Item#" column? If yes, you can use only "#", so all data is numerical.
Q2) The fastest way to read num. data from a file without mex-files is csvread.
I try to avoid using strings in csv files, but if I have to, I use my csv2cell function:
http://www.mathworks.com/matlabcentral/fileexchange/20135-csv2cell
I have a text file which has 4 columns, each column having 65536 data points. Every element in the row is separated by a comma. For example:
X,Y,Z,AU
4010.0,3210.0,-440.0,0.0
4010.0,3210.0,-420.0,0.0
etc.
So, I have 65536 rows, each row having 4 data values as shown above. I want to convert it into a matrix. I tried importing data from the text file to an excel file, because that way its easy to create a matrix, but I lost more than half the data.
If all the entries in your file are numeric, you can simply use a = load('file.txt'). It should create a 65536x4 matrix a. It is even easier than csvread
Have you ever tried using 'importdata'?
The parameters you need only file name and delimiter.
>> tmp_data = importdata('your_file.txt',',')
tmp_data =
data: [2x4 double]
textdata: {'X' 'Y' 'Z' 'AU'}
colheaders: {'X' 'Y' 'Z' 'AU'}
>> tmp_data.data
ans =
4010 3210 -440 0
4010 3210 -420 0
>> tmp_data.textdata
ans =
'X' 'Y' 'Z' 'AU'
Instead of messing with Excel, you should be able to read the text file directly into MATLAB (using the functions FOPEN, FGETL, FSCANF, and FCLOSE):
fid = fopen('file.dat','rt'); %# Open the data file
headerChars = fgetl(fid); %# Read the first line of characters
data = fscanf(fid,'%f,%f,%f,%f',[4 inf]).'; %'# Read the data into a
%# 65536-by-4 matrix
fclose(fid); %# Close the data file
The easiest way to do it would be to use MATLAB's csvread function.
There is also this tool which reads CSV files.
You could do it yourself without too much difficulty either: Just loop over each line in the file and split it on commas and put it in your array.
Suggest you familiarize yourself with dlmread and textscan.
dlmread is like csvread but because it can handle any delimiter (tab, space, etc), I tend to use it rather than csvread.
textscan is the real workhorse: lots of options, + it works on open files and is a little more robust to handling "bad" input (e.g. non-numeric data in the file). It can be used like fscanf in gnovice's suggestion, but I think it is faster (don't quote me on that though).