I am trying to use xlsread functioin to read spreadsheets of 6000x2700 (xlsx file).
I have two questions:
First, when I use something like
[num,txt,~]=xlsread(input_file,input_sheet,'A1:CYY6596')
Matlab keeps showing 'busy' and lose response (while I can open it in excel within 30 seconds).
Is there any solution If I don't want to loop through ranges of the xlsx file? In other word, can I just dump spreadsheet of this size into matlab using xlsread?
Alternatively, Maybe I can use loops to read these files range by range, but I cannot identify the last column of each of the spreadsheets unless I read the whole file first. Therefore, If I cannot identify the last column, it is hard to make loops and do my interpretation on the file.
So My second questions is: Is there a way to identify the last column of the spreadsheet without reading the whole spreadsheet?
Thanks.
EDIT:However, if I run a similar code which only reads first 400 columns ('A1:RY6596') of the spreadsheet, such problem doesn't happen.
which version of matlab you are using?
matlab has a problem to load bix excell file.
convert the excell in csv and use M = csvread(filename).
You can try to convert .xlsx into .xls also.
You can Try the tool in
File Exchange
Related
The complete output text file is hundreds of lines long, with relevant nuclear cross sections and a plethora of other data that I do not need for this particular problem. I am trying to extract the columns of data under "BURNUP" and the first "K-INF" from the file I attached. I am trying to extract this data and place it into a separate file. I am a newbie, and have a similar perl script from a professor. I have tried to adapt it to the information I am looking for but the only result I am receiving are the 2 print statements. Any suggestions?
I am getting zero values while using xlsread command in MATLAB.I am using a real world dataset taken from UCI repository which has got both integer and float values.
[Train,textData,rawData] = `xlsread('C:\Users\pooja\Documents\project\breastcancer.csv');`
I have tried with xls format too..
[Train,textData,rawData] = xlsread('C:\Users\pooja\Documents\project\breastcancer.xls');
Thanx in Advance..!
In the wide world of computers, there are a lot of data formats. You need to remember that data formats are different from each other. Generally software like Matlab allows you to open different types of data formats. Each one of course with its own function.
You can guess that the function xmlread is to read XML files. If you want to read csv files or any other type of file in the world, please (I think this is obvious) do not use xmlread!
Specifically to open csv files matlab has csvread. Please, do not use csv read to open files that are not CSV.....
there are datasets in .mat format in the this site: http://www.cs.nyu.edu/~roweis/data.html
I want to change the format to .csv.
Can someone tell me how to change the format to create the .csv file.
Thanks!
Suppose that the .mat files from the site are available already. In the command window in Matlab, you may write, for example:
load('C:\Users\YourUserName\Downloads\mnist_all.mat');
to load the .mat file; the result should be a set of matrices test0, test1, ..., train0, train1 ... created in your workspace, which you want saved as CSV files. Because they're different size, you need to save one CSV per variable, e.g. (also in the command window):
csvwrite('C:\Users\YourUserName\Downloads\mnist_test0.csv', test0);
Repeat the command for each variable, and do not forget to change also the name of the output file to avoid overwriting.
Did you tried the csvwrite function in Matlab?
Just load your .mat files with the load function and then write them with csvwrite!
I do not have a Matlab license so I installed GNU Octave 4.2.1 (2017) on Windows 10 (thank you to John W. Eaton and others). I was not fully successful using the csvwrite so I used the following workaround. (BTW, I am totally incompetent in the Octave world. csvwrite worked for simple data structures).
In the Command Window I used the following two commands
load myfile.mat
save("-text","myfile.txt","variablename")
When the "myfile.mat" is loaded, the variable names for the data vectors loaded are displayed in the workspace window. This is the name(s) to use in the save command. Some .mat files will load several data structures.
The "-text" option is the default, so you may not need to include this option in the command.
The output file lists the .mat file contents in text format as single column (of potentially sequential variables). It should be easy to use you text editor to massage this data into the original matrix structure for use in whatever app you are comfortable with.
Had a similar issue. Needed to convert a series of .mat files that had two columns of numerical data into standard data files (ascii text). Note that I don't really ever use csv, but everything here could be adapted by using csvwrite instead of the standard save.
Using Octave 4.2.1 ....
load myfile.mat
LI = [L, I] ## L and I are column vectors representing my data
save myfile.txt LI
Note that L and I appear to be default variable names chosen by Octave for the two columns vectors in my original data file. Ideally a script that iterated over all files with the .mat extension in my directory would be ideal, but this got the job done. It saves the data as two space separated columns of data.
*** Update
The following script works on Octave 4.2.1 for a series of data files with the .mat extension that are in the same directory. It will iterate over them and write the data out to text files with the same name but with the extension .dat . Note that this is not efficient, so if you have a lot of files or if they are large it can take a while to run. I would suggest that you run it from the command line using octave mat2dat.m so you can actually watch it go.
I make no guarantees that this will work for you, but it did for me. I also am NOT proficient in Octave or Matlab, so I'm sure a better solution exists.
# mat2dat.m
dirlist = glob("*.mat")
for i=1:length(dirlist)
filename = dirlist{i,1}
load(filename, "L", "I")
LI = [L,I]
tmpname = filename(1:length(filename)-3)
txtname = strcat(tmpname, 'dat')
save(txtname, "LI")
end
I used the command
[num,txt,raw] = xlsread(excelPath,1,'C2:C3')
as it was done here (Reading strings into Matlab from excel?) but matlab systematically loaded the whole excel file. I don't need all the table and only want the specific cells C2 and C3. How can I do this ? (A more brutal solution would be to load the whole file and then look for the right place in num, txt or raw but I look for the other solution)
Thanks !
Have you just tried
num = xlsread(excelPath,1,'C2:C3')
Does this load only the specified cells?
EDIT
if you are using xlsread on a non-Windows O/S, then it uses the basic mode which "does not support an xlRange input when reading XLS files. In this case, use '' in place of xlRange." See the documentation for the xlsread function for more info.
I have a large .csv file (~26000 rows). I want to be able to read it into matlab. Another problem is that it contains a collection of strings delimited by commas in one of the fields.
I'm having trouble reading it. I tried stuff like tdfread, which won't work here. Any tricks with textscan i should be aware about?
Is there any other way?
I'm not sure what is generating your CSV file but that is your problem.
The point of a CSV file, is that the file itself designates separation of fields. If the text of the CSV contains commas, then nothing you can do will help you. How would ANY program know when the text in a single field contains commas, or when that comma is a field delimiter?
Proper CSV would have a text qualifier. Some generators/readers gives you the option to use one. The standard text qualifier is a " (quote). Its changeable, though, because your text may contain those, too.
Again, its all about generating proper CSV content.
There's a chance that xlsread won't give you the answer you expect -- do the strings always appear in the same columns, for example? I think (as everyone else seems to :-) that it would be more robust to just use
fid = fopen('yourfile.csv');
and then either textscan
t = textscan(fid, '%s', delimiter', sprintf('\n'));
t = t{1};
or just fgetl (the example in the help is perfect).
After that you can do some line-by-line processing -- using textscan again on the text content of each line, for example, is a nice, quick way to get a cell-array that will allow fast analysis of each line.
You have a problem because you're reading it in as a .csv, and you have commas within your data. You can get it in Excel and manipulate the date, possibly extract the unwanted commas with Excel formulas. I work with .csv files for DB imports quite a bit. I imagine matLab has similar rules, which is - no commas in your data.
Can you tell us more about your data? Are there commas throughout, our just one column? Maybe you can read it in as tab delimited?
Are you using a Unix system? The reason I am asking is that you could use a command-line function such as sed and regular expressions to clean those data files before you pass them into Matlab. Here is a link that explains how to do exactly what you are looking for.
Since, as others have observed, your file is CSV with commas inside what you think of as a single field, it's going to be hard to persuade Matlab that that really is only one field. I think your best strategy is going to be to read one line at a time, into a string acting as a buffer, and to translate it, field-by-field, into the variables or other data structures that you want. Since Matlab has in-built regular expression capabilities this shouldn't be too hard.
And, as others have already suggested, posting a sample of your data would help us to help you.
One easy solution is:
path='C:\folder1\folder2\';
data = 'data.csv';
data = dataset('xlsfile',sprintf('%s\%s', path,data));
Of course you could also do the following:
[data,path] = uigetfile('C:\folder1\folder2\*.csv');
data = dataset('xlsfile',sprintf('%s\%s', path,data));
now you will have loaded the data as dataset. An easy way to get a column 1 for example is
double(data(1))