Dynamically labelling in MATLAB - matlab

I have a MATLAB script which creates an matrix, 'newmatrix', and exports it as matrix.txt:
save -ascii matrix.txt newmatrix
In my script I also calculate the distance between certain elements of the matrix, as the size of the matrix depends on a variable 'width' which I specify in the script.
width = max(newmatrix(:,5)) - min(newmatrix(:,5))
x_vector = width + 2
And the variable x_vector is defined as width + 2
I want to know is it possible to export x_vector, labelling it as, eg my_vector $x_vector so that "my_vector 7.3" will be produced when the value of x_vector is equal to 7.3
I have tried:
save -ascii 'my_vector' + x_vector
But receive the following errors:
warning: save: no such variable +
warning: no such variable 'my_vector'

Three things:
1) I prefer to use functional form of the calls so that you can pass in variables rather than static strings.
save -ascii matrix.txt newmatrix
is equivalent to:
save('-ascii','matrix.txt','newmatrix')
In other words, in the first form all inputs get treated as string inputs to the function.
2) You can't add character arrays in Matlab. Rather you concatenate them or use sprintf.
name = sprintf('my_vector_%g',x_vector);
save('-ascii',name)
Note by using the functional form we can now pass in a variable. Note however this won't work because name should be either a valid option or a variable, and my_vector_7.3 isn't either.
3) I'm not entirely sure what you're asking, but I think you want the text file to say "my_vector 7.3". I don't think -ascii supports strings .... You could write something using fprintf.
fid = fopen('matrix.txt','w');
fprintf(fid,mat2str(new_matrix));
fprintf(fid,'\n');
fprintf(fid,'my_vector %g',x_vector);
fclose(fid);

Related

Matlab: Use Splitapply to write multiple files

I have grouped tables by a variable and I am trying to write multiple files based on the grouping variable. But it does not work.
I used findgroups and splitapply, but the splitapply is where I am having problems.
Here is one version of the commands I am using:
load patients;
G=findgroups(Gender);
func=#(x,y) csvwrite(x,y);
splitapply(func,Gender,Weight,G);
I am getting the following error message:
Error using splitapply (line 132)
Applying the function '#(x,y)csvwrite(x,y)' to the 1st group of data generated the following error:
FILENAME must be a character vector or string scalar.
When I figure out how to use this, I will be using it on large datastore tall arrays. Please help !
The problem is that the first parameter of csvwrite must be a file name.
In your code sample, the first parameter to csvwrite is a cell array, and not a string.
You can see it by using the following trick:
func=#(x,y) display(x);
The output of splitapply(func,Gender,Weight,G) is:
x =
53×1 cell array
{'Female'}
{'Female'}
{'Female'}
...
x =
47×1 cell array
{'Male'}
{'Male'}
{'Male'}
Solution:
Use x{1} instead of x:
func=#(x,y) csvwrite(x{1}, y);
It's recommended to add file extension like .txt to file name:
func=#(x,y) csvwrite([x{1}, '.txt'], y);
Remark:
It's possible that the combination of splitapply with csvwrite misses the original intent of splitapply function.
According to documentation it looks like splitapply is better fitted for statistical calculations (and not intended to be used for I/O operations [writing files]).
I am not sure whether the above code pattern is the right way for "using it on large datastore tall arrays".
Complete code sample:
load patients;
G=findgroups(Gender);
%The first parameter of csvwrite must be a file name.
%x{1} = 'Male' for all the Male group, and 'Female' for all the Female group.
%[x{1}, '.txt'] adds a '.txt' extension to the file name.
%
%y will be array of Weight like
%[71
% 69
% 68]
func=#(x,y) csvwrite([x{1}, '.txt'], y);
splitapply(func,Gender,Weight,G)

Initialize variables with names from a file

I have a txt file with a bunch of parameters created by the external program.
Let us consider a simple example:
input.txt
a= 1
b= 2
c= 3
I can read both names and values in matlab 2018a:
[names, values]=textread('input.txt','%s%f');
As a result, names will be a 3x1 cell array with entries a=, b= and so on, whereas values will be a conventional 3x1 array of doubles.
In my current workspace, I want to initialize the obtained variables (with the corresponding names) and set them equal to the corresponding values.
In the example above, variables a=1, b=2 and c=3 should be created in the current workspace.
I have no idea how to do it...
Thanks!
Edit: in my actual example variable names can contain many characters/numbers (by the standard convention, variable names always start with the letter, not a digit), e.g.
Rcirc1= 30.0
SaveStride= 1000
You can use a combination of regexp and assignin to achieve the desired output:
%Read data.
data = fileread('input.txt')
%Extract variable name and value in named groups.
s = regexp(data,'(?<var>[A-Z]\w+)\D+(?<val>\d+(?:\.\d+)?)','names');
%Loop over struct s contents to create variables in workspace.
cellfun(#(x,y) assignin('base',x,str2double(y)),{s.var},{s.val})
The assignments in the text file can be directly evaluated by MATLAB. You don't need to extract them. In order to silence the text printed for each line you can use evalc
evalc(fileread('input.txt'));

convert struct type to matrix octave

I have a myfile.mat that contains 3000x35 size data. When I load it into a variable as :
a = load('myfile.mat')
It gives struct of size 1x1 . How can I get exact form as matrix. This is required because I need to change certain column values.
(This answer is valid for MATLAB, I am not sure it works exactly the same way in Octave)
You have several options:
Option 1:
If the .mat file only contains one variable, you can do:
a = struct2array(load('myfile.mat')); % MATLAB syntax
a = [struct2cell(load('myfile.mat')){:}]; % Octave syntax
Option 2:
You need to know the name of the variable at the time of saving, which is now a name of a field in this struct. Then you would access it using:
a = load('myfile.mat'); a = a.data;
Option 3 (unrecommended!):
Just remove the a = part of the expression,
load('myfile.mat');
Then the variables inside this file will "magically spawn" in your workspace. This is not recommended because it makes it difficult (impossible?) to see when certain variables are created.
I found the solution myself. I did like this
a = load('myfile.mat')
a = a.data
So that now I can access values of a as matrix with indexing, a(1,2) like this.
It is in octave. I hope it is similar in matlab.

How to share variables between different m files in Matlab

I have three m files using the same variables and carrying out calculations on these variables. I have made an index m file in which i have declared all the variables and I can share the variables to the remaining m files using the variable names. My problem is that the variable names change too often and then I have to change the variable names in all these files manually. How can I make a Matlab script which can automatically get the variable names and value from the index m file and put these to the remaining m files.
I feel like you just need a little example from where you could go on so here we go:
First calling each value with a different variable name. if you have a lot of values of the same type a array is easier like:
A0=0; A1=6; A2=12 %each one with its own name
B=zeros(16,1); %create an array of 16 numbers
B(1)= 0; %1 is the first element of an array so care for A0
B(2)= 6;
B(8)= 12;
disp(B); % a lot of numbers and you can each address individually
disp(B(8)); %-> 12
you can put all that in your script and try it. Now to the function part. Your function can have input, output, neither or both. If you just want to create data you wont need an input but an output.
save this as myfile1.m:
function output = myfile1()
number=[3;5;6]; %same as number(1)=3;number(2)=5;number(3)=6
%all the names just stay in this function and the variable name is chosen in the script
output = number; %output is what the file will be
end
and this as myfile2.m
function output = myfile2(input)
input=input*2;%double all the numbers
%This will make an error if "input" is not an array with at least 3
%elements
input(3)=input(3)+2; %only input(3) + 2;
output = input;
end
and now try
B=myfile1() %B will become the output of myfile1
C=myfile2(B) %B is the input of myfile2 and C will become the output
save('exp.mat','C')
I hope this will get you started.

Numerical Matrix CSV -> Covariance Matrix

I have a CSV file containing a numerical matrix with over two thousand New York Stock Exchange listed companies' value over two years.
It seems like it should be really simple - I want to attain a covariance matrix formed from the CSV matrix.
As far as I'm aware I simply need to:
Import the data as numerical matrix (just the data no headings etc) using the MATLAB Import Data button.
Press save as on the workspace variable and make e.g. NYSE.mat.
In my function call cov(NYSE.mat);
This should access the matrix and return a large covariance matrix from my data. The cov() function works when i manually input an example matrix of for example:
[5 0 3 7; 1 -5 7 3; 4 9 8 10];
But for some reason whenever I try to call cov(NYSE.mat); only one number is returned, rather than a covariance matrix.
Can anyone tell me where I'm going wrong? I've been trying to figure this out for a while now and I feel the answer should be really simple.
I'm running on MATLAB R2016a.
Not sure you need to manually save the workspace name in step 2. As part of your import process you once you click the import button the variable should be loaded into workspace with the name of the file (maybe NYSE)
Try Load('NYSE.mat') and see what appears in your workspace.
Once you figure out the name of the variable, calling the function with that.
If your CSV file is without any header lines (not sure if any CSV file needs them) and contains only numbers, you can simply call
x = importdata('<nameofyourcsv>.csv');
and then
c = cov(x);
or even do it in one step:
c = cov(importdata('nameofcsv.csv'));
This function is equivalent of clicking on the button you mention. However, if your file contains header lines, you have to specify its number and call this function with more parameters:
x = importdata('nameofcsv.csv',',', nh); % nh is a number of header lines
x will no longer be a regular MATLAB matrix but a structure with following fields: data, textdata, and colheaders. cov(x.data) will calculate covariance. Not sure why you would need to save anything in a mat file, though. If you wish, you would probably need to assign a value from a data field to a regular variable and then save such variable. Otherwise, you will save the whole x structure.
For instance, the following file, test.csv:
95.01,76.21,61.54,40.57,5.79,20.28,1.53
23.11,45.65,79.19,93.55,35.29,19.87,74.68
60.68,1.85,92.18,91.69,81.32,60.38,44.51
48.60,82.14,73.82,41.03,0.99,27.22,93.18
89.13,44.47,17.63,89.36,13.89,19.88,46.60
can be imported by calling importdata:
>> x = importdata('test.csv')
x =
95.0100 76.2100 61.5400 40.5700 5.7900 20.2800 1.5300
23.1100 45.6500 79.1900 93.5500 35.2900 19.8700 74.6800
60.6800 1.8500 92.1800 91.6900 81.3200 60.3800 44.5100
48.6000 82.1400 73.8200 41.0300 0.9900 27.2200 93.1800
89.1300 44.4700 17.6300 89.3600 13.8900 19.8800 46.6000
EDIT
I downloaded the file and copy pasted this command from your answer:
c = importdata('nyse_data_matrix_no_tags.csv');
Then, I opened the file in a text editor and copied 1st and 20th row of numbers in the file and created a matrix in MATLAB:
x = [46.09,24.69,156.78,5.95,21.14,76.17,55.51,7.04,38.87,19.58,47.57,7.73,119.44,1.61,44.55,24.9,50.89,4.87,26.25,15.95,15.96,39.14,121.27,15.7,25.91,25.8,69.7,16.32,12.86,7.89,247.4,27.11,41.6,5.14,47.77,40.98,13.78,26.058,14.56,41.05,24.27,47.13,40.92,27,85.04,15.06,5.05,29.14,7.51,67.5,67.79,42.68,124.86,24.28,27.82,18.08,100.67,109.07,12.59,50.34,18.64,4.75,6.06,16.63,109.86,14.1,54.48,13.9,59.98,16.24,45.53,4.06,67.99,18.22,4.2,117.23,158.75,5.7,2.46,76.39,77.79,6.17,16.95,5.27,12.74,14.7,19.14,14.4,42.77,26.4,14.17,76.57,12.4,42.07,77.47,41.27,60.53,16.97,65.71,56.13,258.4,28.96,760.07,60.46,34.77,133.1,14.19,29.41,11.78,154.55,44.75,15.18,17.52,24.86,36.18,14.1,30.1,47.65,22.92,47.37,61.84,226.52,10.2,65.14,7.88,16.34,170.23,9.6,34.42,15.0999,20.34,58.7,16.6,14.72,14.32,20.89,14.32,13.2,6.05,422.96,21.43,47.55,13.28,27.98,8.16,45.15,15.1665,41.65,17.45,25.73,63.03,16.07,17.56,11.54,6.54,33.18,15.01,357.96,74.88,15.24,27.24,69.08,36.29,76.55,65.72,50.93,72.73,16.13,23.81,52.14,16.05,12.19,71.77,14.97,11.82,33.04,7.86,15.26,72.46,15.42,24.49,15.75,63.78,32.43,36.57,16.24,7.08,26.08,15.74,14.78,16.22,16.85,23.32,31.14,12.72,6.7,26.65,24,12.95,129.92,20.07,11.28,34.66,12.86,17.5,26.5,0.7038,1.22,128.98,23.33,19.2,15.64,8.34,45.01,38.14,50.31,13.11,17.4,47.15,79.29,8.24,28.92,24.97,1.92,77.16,126.5,8.97,3.97,12.85,30.75,37.82,2.36,10.37,52.28,1.56,53,47.33,41.32,10.65,15.24,39.5,94.42,12,54.25,48.03,3.72,6.34,18.5,23.47,26.74,8.74,6.7,7.08,70.92,27.3,65.43,18.776,7.82,16.8,12.0625,124.24,29.79,22.88,29.4,66.44,28.88,1.505,0.8642,10.37,47.14,99.83,133.87,46.41,4.88,57.63,14.45,11.2,34.99,11.06,129.25,7.71,35.2,2.29,2.53,1.65,13.74,15.6,11.84,59.79,33.85,62.48,72.34,25.15,131.2,61.13,2.17,5.1,53.35,26.9,43.15,10.8,63.61,130.91,81.42,45.29,17.58,415.79,118.64,73.88,9.85,79.22,43.39,4.86,32.18,68.36,60.21,34.15,19.47,23.39,29.96,39.58,14.66,5.98,70.87,25.9,38.64,90.45,165.2,46.57,83.18,16.48,134.15,54.68,62.51,12.25,24.33,17.69,60.73,11.51,15.6,85.99,80.81,59.9,17.48,30.73,104.34,0.94,86.03,82.73,14.41,34.05,17.2,11.98,13,52.5,39.2,19.58,101.59,26.38,44.13,18.72,23.3,32.05,27,26.12,13.13,18.58,6.07,73.74,3.53,42.4,12.21,15.72,16.71,26.27,26.69,4.52,35.99,26.1,17.31,45.61,67.9,11.15,13.08,1.1,9.7001,17.51,59.8,26.27,86.95,18.95,26.75,34.33,66.72,107.98,9.7,18.27,24.16,56.8,46.56,91.69,21.43,78.75,3.37,13.71,31.73,100.39,5.65,6.98,85.21,97.84,13.5,26.19,42.43,26.73,10.11,47.95,102.84,66.95,28.35,14.07,5.25,23.68,127.43,11.41,10.43,4.19,25.48,19.78,72.08,53.59,17.41,36.57,92.37,127.48,23.98,16.46,5.28,24.76,9.1,68.33,64.45,8.15,18.54,8.85,119.72,3.62,20.49,2.57,94.05,16.99,25.93,25.12,25.71,9.68,81.26,16.7,77.21,37.45,80.43,6.95,24.95,87.1,20.74,31.82,25.44,25.48,25.5515,46.96,19.11,43.49,10,8.68,16.99,120.79,3.95,1.91,76.54,7.8,33.71,14.59,13.5,15.99,42.6,38.86,46.76,8.1,23.14,23.04,17.39,15.4399,13.62,14,125.94,13.92,22.98,48.68,4.62,68.17,1.14,9.82,29.75,73.66,6.51,92.28,25.53,25.6,25.63,7.59,72.9,25.23,10.41,27.87,10.81,48.76,11.38,3.76,71.78,13.21,53.59,25.55,42.43,68.21,66.25,37.2,6.1,6.24,84.58,13.17,13.2,22.92,82.95,28.9,6.07,74.57,29.35,74.89,64.46,77.91,30.21,11.09,6.34,21.69,56.88,15.25,41.44,1.77,67.42,209.26,11.24,15.8,13.53,15.09,32.8,9.78,12.99,62.77,21.8,39.11,78.68,14.75,10.67,20.6,10.57,36.39,7.24,6.1,13.61,14.58,51.04,20.36,102.48,35.14,12.31,8.98,3.7,81.22,89.67,27.32,13.26,1.54,37.84,11.29,8.98,24.08,4.43,8.54,15.51,36.26,9.33,6.56,43.38,13.04,10.9,54.68,160,164.11,34.25,15.87,14.65,18.72,10.57,13.25,21.08,62.55,6.08,22.72,17.25,14.1,11.91,16.5,17.36,4.93,31.46,75.14,32.84,55.65,21.39,18.76,53.36,52.27,150,11.51,50.35,4.77,16.2,13.83,43.24,94.4,37.89,13.18,35.9,70.65,14.16,11.8273,12.67,22.93,11.11,13.55,9.55,14.24,26.44,13.49,69.92,9.88,157.12,14.93,6.53,13.5,6.83,28.27,13.07,48.33,59,9.67,2.04,28.2,5.82,31.87,65.9,33.14,36.14,30.08,8.49,64.92,4.76,141.98,8.63,10.11,17.27,19.65,30.24,26.53,40.67,26.87,26.25,39.18,1.54,33.93,16.59,7.33,15.36,13.91,1.1,17.12,4.47,15.67,18.68,1.79,15.54,81.13,21.34,27.59,7.46,10.77,503.01,19.74,18.46,15.26,47.57,30.24,6.55,65.34,4.13,13.2,21.55,21.03,29.36,27.27,47.72,10,26.17,7.45,7.62,3.48,18.15,8.2,20.66,97.23,59.46,13.37,7.8,76.6,19.31,9.21,24.18,77.53,0.9,10.8,153.17,23.32,1.18,25.83,42.06,1.48,11.49,24.78,18.24,21.24,6.59,44.54,33.28,64.61,227.17,30,48.14,29.72,45.5,79.45,26.83,4.96,81.03,30.76,72.15,34.48,129.3,65.48,33.48,67.43,34.31,15.05,60.38,32.59,26.84,1.7,32.48,2.31,113.96,1.13,7.3,31.13,12.27,44.48,163.75,4.55,4.93,49.64,7,0.42,4.66,62.44,41.56,21.6,8.18,26.89,33.78,3.79,47.23,27.86,0.5199,45.15,117.21,9.51,74.52,1.8,67.24,22.28,22.735,28.48,13.84,19.61,26.62,25.78,18.95,33.53,21.54,51.22,13.79,34.9,81.22,6.86,15.59,96.42,18.49,31.21,24.57,21.23,22.93,16.32,10.63,11.18,188.35,16.08,18.39,18.17,43.96,62.54,8.82,1.87,33.38,14.9,10.47,16.69,3.2,8.89,3.95,50.02,153.42,7.65,35.53,0.54,18.36,5.24,262.52,4.07,74.98,12.53,13.66,86.82,129.8,24.78,9.8,7.03,21.68,8.1,17.1,7.5,38.4,118.45,6.47,26.92,17.2,7.6,35.32,1.72,25.83,9.11,26.27,13,12.18,12.29,44.75,26.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I compared matrix x with the 1st and 20th row of c and they are equal:
isequal(x,c([1 20],:))
ans =
1
importdata seems to be working as expected.