I imported my data from excel to matlab and saved it as 't.mat'.I used function:
load('t.mat')
open('t.mat')
ans =
ndata: [62x8 double]
text: {63x9 cell}
alldata: {63x9 cell}
but it did not show the data.I want to see the column 5 of the data an plot it,so i wrote :
x=t.mat(:,5)
plot(x)
the error was :
??? Attempt to reference field of non-structure array.
please help me to present the data and plot it.
thanks
You can load your data into a structure and easily access them:
DataStruct = load('t.mat');
A = DataStruct.alldata; % Assign a variable to alldata.
plot(A{:,5});
Following on #Darthbit's comment, once you load the .mat file ,variables are available in the workspace, so you could use something like this:
load('t.mat');
plot(alldata{:,5})
't.mat' is just the name of the file where your data is stored. When you load a file, it loads the content into your workspace with the saved variable names, here ndata, text and alldata.
You then need to call the variables themselves to access the data:
load('t.mat')
x = ndata(:,5);
plot(x)
I haven't used Matlab in a while but I'm pretty sure you can't just say:
x=t.mat(:,5)
I think you have to store the t.mat into something. Here's a page that might be helpful:
http://www.mathworks.com/help/matlab/ref/load.html#btm3ohm-1
Related
I have a list of .txt datafiles to import. Suppose they are called like that
file100data.txt file101data.txt ... file109data.txt I want to import them all using readtable.
I tried using the for to specify a vector a = [0:9] through which matlab could loop the readtable command but I cannot make it work.
for a = [0:9]
T_a_ = readtable('file10_a_data.txt')
end
I know I cannot just put _a_ where I want the vector to loop through, so my question is how can I actually do it?
Thank you in advance!
Here is a solution that should work even if you have missing files in your folder (e.g. you have file100data.txt to file107data.txt, but you are missing file file108data.txt and file109data.txt):
files=dir('file10*data.txt'); %list all data files in your folder
nof=size(files,1); %number of files
for i=1:nof %loop over the number of files
table_index=files(i).name(7) %recover table index from data filename
eval(sprintf('T%s = readtable(files(i).name)', table_index)); %read table
end
Now, please note that is it generally regarded as poor practice to dynamically name variables in Matlab (see this post for example). You may want to resort to structures or cells to store your data.
You need to convert the value of a into a string and combine strings together, like this:
Tables = struct();
for a = 0:9
% note: using dynamic structure field names to store the imported tables
fname = ['file10_' num2str(a) '_data'];
Tables.(fname) = readtable([fname '.txt']);
end
I have an FFT and I want to save this to .mat file and then read it from that .mat file. I want to use my loaded data for a division. Here is my code
save ('file_fft','a_fft');
b = load ('file_fft');
c = abs (d_fft) ./ abs (b);
In my command window I see that
b = file_fft [4000 * 1 double].
And then I get error message
'Undefined function 'abs' for input arguments of type 'struct''
I tried after deleting abs. I got this error
'Undefined function 'rdivide' for input arguments of type 'struct''
Does anybody have any idea that why it is not working and how i can solve it?
Check the documentation for the load function:
S = load(___) loads data into S, using any of the input arguments in
the previous syntax group.
If filename is a MAT-file, then S is a structure array.
If filename is an ASCII file, then S is a double-precision array
containing data from the file.
So b is a structure and as suggested in the comment, you need to access the data as abs(b.a_fft).
The problem is that load() already creates the file structure that is inside the .mat file. When you assign file_fft with load, it creates a struct.
From the documentation of load():
S = load(_) loads data into S, using any of the input arguments in
the previous syntax group.
If filename is a MAT-file, then S is a structure array.
Edit:
I got sniped :-P
Here's another working example of code:
save ('file_fft','a_fft');
load ('file_fft');
c = abs (d_fft) ./ abs (file_fft);
I have data stored in the .tdms format, gathering the data of many sensors, measured every second, every day. A new tdms file is created every day, and stored in a folder per month. Using the convertTDMS function, I have converted these tdms files to mat files.
As there are some errors in some of the measurements(e.g. negative values which can not physically occur), I have performed some corrections by loading one mat file at a time, do the calculations and then save the data into the original .mat file.
However, when I try to do what I described above in a loop (so: load .mat in folder, do calculations on one mat file (or channel therein), save mat file, repeat until all files in the folder have been done), I end up running into trouble with the limitations of the save function: so far I save all variables (or am unable to save) in the workspace when using the code below.
for k = 1:nFiles
w{k,1} = load(wMAT{k,1});
len = length(w{k,1}.(x).(y).(z));
pos = find(w{k,1}.(x).(y).(z)(1,len).(y)<0); %Wind speed must be >0 m/s
for n = 1:length(pos)
w{k,1}.(x).(y).(z)(1,len).(y)(pos(n)) = mean([w{k,1}.(x).(y).(z)(1,len).(y)(pos(n)+1),...
w{k,1}.(x).(y).(z)(1,len).(y)(pos(n)-1)],2);
end
save( name{k,1});
%save(wMAT{k,1},w{k,1}.(x),w{k,1}.ConvertVer,w{k,1}.ChanNames);
end
A bit of background information: the file names are stored in a cell array wMAT of length nFiles in the folder. Each cell in the cell array wMAT stores the fullfile path to the mat files.
The data of the files is loaded and saved into the cell array w, also of length nFiles.
Each cell in "w" has all the data stored from the tdms to mat conversion, in the format described in the convertTDMS description.
This means: to get at the actual data, I need to go from the
cell in the cell array w{k,1} (my addition)
to the struct array "ConvertedData" (Structure of all of the data objects - part of convertTDMS)
to the struct array below called "Data" (convertTDMS)
to the struct array below called "MeasuredData" (convertTDMS) -> at this level, I can access the channels which store the data.
to finally access/manipulate the values stored, I have to select a channel, e.g. (1,len), and then go via the struct array to the actual values (="Data"). (convertTDMS)
In Matlab format, this looks like "w{1, 1}.ConvertedData.Data.MeasuredData(1, len).Data(1:end)" or "w{1, 1}.ConvertedData.Data.MeasuredData(1, len).Data".
To make typing easier, I took
x = 'ConvertedData';
y = 'Data';
z = 'MeasuredData';
allowing me to write instead:
w{k,1}.(x).(y).(z)(1,len).(y)
using the dot notation.
My goal/question: I want to load the values stored in a .mat file from the original .tdms files in a loop to a cell array (or if I can do better than a cell array: please tell me), do the necessary calculations, and then save each 'corrected' .mat file using the original name.
So far, I have gotten a multitude of errors from trying a variety of solutions, going from "getfieldnames", trying to pass the name of the (dynamically changing) variable(s), etc.
Similar questions which have helped me get in the right direction include Saving matlab files with a name having a variable input, Dynamically Assign Variables in Matlab and http://www.mathworks.com/matlabcentral/answers/4042-load-files-containing-part-of-a-string-in-the-file-name-and-the-load-that-file , yet the result is that I am still no closer than doing manual labour in this case.
Any help would be appreciated.
If I understand your ultimate goal correctly, I think you're pretty much there. I think you're trying to process your .mat files and that the loading of all of the files into a cell array is not a requirement, but just part of your solution? Assuming this is the case, you could just load the data from one file, process it, save it and then repeat. This way you only ever have one file loaded at a time and shouldn't hit any limits.
Edit
You could certainly make a function out of your code and then call that in a loop, passing in the file name to modify. Personally I'd probably do that as I think it's neater solution. If you don't want to do that though, you could just replace w{k,1} with w then each time you load a file w would be overwritten. If you wanted to explicitly clear variables you can use the clear command with a space separated list of variables e.g. clear w len pos, but I don't think that this is necessary.
I am performing an analysis which involves simulation of over 1000 cases. I extracting lots of data for each case as well (about 70MB). Currently I am saving the results for each case as:
Vessel.TotalForce
Vessel.WindForce
Vessel.CurrentForce
Vessel.WaveForce
Vessel.ConnectionForce
...
Line1.EffectiveTension
Line1.X
Line1.Y
Line2.EfectiveTension
Line2.X
Line2.Y
...
save('CaseNo1.mat')
Now, I need to perform my analysis for CaseNo1.mat to CaseNo1000. Initially I planned to create a Database.mat file by loading all cases in it and then accessing any variable using h5read. This way Matlab doesn't need to load all the data at a time. However, I am concerned now that my database file will be too big.
Is there any way I can read the structured variables from individual case files for example CaseNo1.mat without loading the CaseNo1.mat file in memory.
Matlab examples shows loading just the variables directly from MAT file without loading the whole MAT file. But I am not sure how to read structures data the same way.
x=load('CaseNo1.mat','Line1.X')
says Line1.X not found. But it's there. The command is not correct to access the data. Also tried using h5read, but it says CaseNo1.mat is not an HDF5 file.
Can anyone help with this.
Apart from this, I would also appreciate if there is any suggestion about performing such data intensive analysis.
I was wrong! I'm leaving my old answer for context, though I've edited it to reference this one. I thought I had used matfile() in that way before, but I hadn't. I just did a thorough search and ran a few test cases. You've actually run into a limitation of the way Matlab handles and references structures stored in .mat files. There is, however, a solution. It does involve some refactoring of your original code, but it shouldn't be too egregious.
Vessel_TotalForce
Vessel_WindForce
Vessel_CurrentForce
Vessel_WaveForce
Vessel_ConnectionForce
...
Line1_EffectiveTension
Line1_X
Line1_Y
Line2_EfectiveTension
Line2_X
Line2_Y
...
save('CaseNo1.mat')
Then to access, just use matfile (or load) as you were before. Like so:
Vessel_WaveForce = load('CaseNo1.mat'', 'Vessel_WaveForce')
It's important to note that this restriction doesn't appear to be caused by anything you've chosen to do in your program, but rather is imposed by the way Matlab interacts with it's native storage files when they contain structures.
EDIT: This answer works, but doesn't actually solve the problem posed in OP's question. I thought I had used matfile to generate a handle that I could access, but I was wrong. See my other answer for details.
You could use matfile, like so:
myMatFileHandle = matfile('caseNo1.mat');
thisVessel = myMatFileHandle.vessel;
Also, from the little bit I can see, you seem to be on the right track for high-volume analysis. Just remember to use sparse when applicable, and generally avoid conditionals inside of loops if possible.
Good luck!
The objective of storing data in structured format is:
To be organized
Easy scripting post processor where looping through data under one data set it required.
To store structured dataset containing integer, floating and string variables in MAT file and to be able to read just the required variable using h5read command was sought. Matlab load command is not able to read variable beyond first level from stored data in a MAT file. The h5write couldn't write string variables. Hence needed a work around to solve this problem.
To do this I have used following method:
filename = 'myMatFile';
Vessel.TotalForce = %store some data
Vessel.WindForce = %store some data
Vessel.CurrentForce = %store some data
Vessel.WaveForce = %store some data
Vessel.ConnectionForce = %store some data
...
Lin1.LineType = 'Wire'
Line1.ArcLength_0.EffectiveTension = %store some data
Line1.ArcLength_50.EffectiveTension= %store some data
Line1.ArcLength_100.EffectiveTension= %store some data
Lin2.LineType = 'Chain'
Line2.ArcLength_0.EffectiveTension= %store some data
Line2.ArcLength_50.EffectiveTension= %store some data
Line2.ArcLength_100.EffectiveTension= %store some data
save([filename '_temp.mat']);
PointToMat=matfile([filename '.mat'],'Writable',true);
PointToMat.(char(filename)) = load([filename '_temp.mat']);
delete([filename '_temp.mat']);
Now to read from the MAT file created, we can use h5read as usual. To extract the EffectiveTension for Line1, ArcLength_0:
EffectiveTension = h5read([filename '.mat'],['/' filename '/Line1/ArcLength_0/EffectiveTension']);
For string variables, h5read returns decimal values corresponding to each character. To obtain the actual string I used:
name = char(h5read([filename '.mat'],['/' filename '/Line1/LineType']));
Tried this method on my data set which is about 200MB and I could process them pretty fast. Hope this would help someone someday.
Short answer:
Having saved the data into a MAT file with the '-v7.3' option, use something like h5read(filename, '/Line2/X') to read just one structure field. You can even read an array partially, for example:
s.a = 1:100;
save('test.mat', '-v7.3', 's');
clear
h5read('test.mat', '/s/a', [1 10], [1 5], [1 3])
returns each third element of the 1:100 array, starting with the 10th element and returning 5 values:
10 13 16 19 22
Long answer:
See answer by #Amitava for the more elaborate code and topic coverage.
I have a Matlab function that creates a cell array with matrixes inside.
It looks like this:
>> ind
ind =
[10x3 double]
[10x11 double]
[ 1x11 double]
>> ind{1}
ans =
-0.0407 0.1806 0.3175
-0.1630 -0.0477 0.3487
-0.1704 -0.0903 0.2375
0.4861 -0.0547 0.3547
0.4440 0.1793 0.3329
-0.3888 -0.0768 -0.3908
-0.0429 0.2418 0.6098
0.0263 -0.3948 -0.2316
0.3766 0.5255 -0.1580
-0.4005 -0.2788 -0.4579
I want to be able to save this cell array to a file and afterwards loading it.
Which is the fastest way to do this?
Is there a way to avoid doing it by hand?
The general solution is simple:
myvar = ind{1};
save myfilename myvar;
load myfilename;
If no variables are specified, save/load deal with all the variables in the workspace/file. You can save/load multiple specific variables:
save myfilename;
save myfilename myvar1;
save myfilename myvar2;
save myfilename myvar1 myvar2;
load myfilename;
load myfilename myvar1;
load myfilename myvar2;
load myfilename myvar1 myvar2;
Since variables in files are named so to be retrieved out of order, you cannot save the result of an expression, but must always pass through a variable (as the answer does).
I don't know if the in-built function save is the fastest way, but why don't you use it until you get a better suggestion ?
Also can depend on what type of file you want to save it to. If you want to save it to a .xls (Excel) file you can use the xlswrite() function. The following is pulled from the documentation for the xlswrite() function:
xlswrite(filename,A,sheet,range) writes to the specified sheet and range. Specify range using the syntax 'C1:C2', where C1 and C2 are two opposing corners that define the region.
Hope this helps, but I do also agree with Luca's answer.