When I use the readtable function I get the following error:
IVcellData = readtable('RiskModelData','Sheet',2,'Range','A1:A49')
Error using readtable (line 129) Invalid parameter name: Sheet.
Would appreciate if anyone could help me.
Have you renamed Sheet 2 to something else, e.g. Datafile? If so, you need to use this name (inside single quotes) not the sheet number instead of 2 in that call.
Also, you need to make a call to
opts = detectImportOptions(yourfilename)
before the call to readtable. I suspect this one is this cause as it is not recognising Sheet as a variable.
Took me a while to discover that lot, mostly empirical as the documentation is not clear on that point.
Keith
Looks like you need to define extension:
T = readtable(filename) creates a table by reading column oriented data from a file.
readtable determines the file format from the file name's extension:
.txt, .dat, or .csv for delimited text files
.xls, .xlsb, .xlsm, .xlsx, .xltm, .xltx, or .ods for spreadsheet files
try ReadModelData.xls or .xlsx
Related
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
I'm having trouble with loading .txt file in Matlab. The main problem is having not equal rows. I'll attach the file so you can more clearly see what I'm truing to say. First, the file has information about each node in graph. One row has information like this:
1|1|EL_1_BaDfG|4,41|5,1|6,99|8,76|9,27|13,88|14,19|15,91|19,4|21,48...
it means:
id|type|name|connected_to, weight|connected_to, weight| and so on..
I was trying to use fscanf function, but it only reads whole line as one string. How I suppose to divide it into struct with information that I need?
Best regards,
Dejan
Here, you can see file that I'm trying to load
An alternative to Stewie answer is to use:
fgetl to read each line
Then use
strread (or textscan) to split the string
Firstly using the | delimiter - then on the sub section(s) containing , do it a second time.
So, I currently have a MATLAB script that does stuff with data and then, using a template .dat file, creates about 20 more .dat files with only a single column being changed (I've been using the dataset and export functions to read and write the files, respectively). The program that will use the .dat files, ExperimentBuilder, requires that the headers have names that start with dollar signs (for example: $image). However, when I use the dataset function in MATLAB to import the template file, I get this warning:
Warning: Variable names were modified to make them valid MATLAB identifiers.
It then replaces all the dollar signs in the variables to x_ (for example, x_image), which would be fine if it would let me change it back to the $ format. But whenever I try to using set , it just gives me this warning again and reverts it back to x_, which is unreadable by ExperimentBuilder.
I know I could just do a quick copy and paste on each file with the original headings, but I would like to know if there's a way to fix this problem in the actual code.
Thanks!
Thing is the MATLAB database uses the header names to provide access to the columns by name, this is why the header names must be valid identifiers (isvarname() states that it must starts with a letter, and contains only valid alphanumeric characters [a-zA-Z0-9_]).
The easiest solution would be manually write the header line yourself (including names starting with $), while separately exporting the data without the headers:
export(ds, ..., 'WriteObsNames',false)
(Note that dataset.export overwrites files by default, so you'll have to export first, then prepend the header line at the beginning of the file. Or if you're comfortable modifying MATLAB own functions, then go edit dataset.export and change the fopen mode from overwrite 'wt' to append 'at' mode).
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.