I am currently running an older version of Matlab - 7.0.4 to be exact, and I'm trying to convert code that involves the newer InputParser into code that would work with this older version. I was wondering if there are any similar commands like inputParser that could be used.
This is the section of code that I'm struggling to convert.
p=inputParser;
p.addParamValue('clusters', repmat(2,k,1), #(x)isvector(x) && length(x)==k);
p.addParamValue('numit', 1000, #(x)x>0 && mod(x,1)==0);
p.addParamValue('abort', 1e-10, #(x)x>=0);
p.addParamValue('verbose', true, #islogical);
p.addParamValue('verbosecompact', true, #islogical);
p.parse(varargin{:});
res=p.Results;
r=res.clusters;
if res.verbose
fprintf('starting graphclustering of %i-partite graph with partition sizes: ',k);
disp(n');
end
Prior to InputParser I used to use 50 to 100 lines of code at the beginning of some complex functions. (Or you can try to roll your own equivalent of the InputParser class.)
Manual input handling is not hard, just a little tedious. The code woudl look something like:
%Check for Clusters
ix = find(cellfun(#(x)strcmpi(x,'clusters'),varargin));
if ~isempty(ix) && (ix+1)<length(varargin)
rec.clusters = varargin{ix+1};
else
rec.clusters = repmat(2,k,1);
end
%Check for 'numit'
% ... following the template above
That will work. For extra credit,. and improved maintainability, you can define the a cell array or structure of with parameter names and default values, and write a loop over that structure, rather than copying the same template code and risking copy/paste errors.
Edit:
This purports to be an example of an input parsing function. I have not tested it, but it may be somewhere to start.
http://www.mathworks.com/matlabcentral/fileexchange/10670-parseargs-simplifies-input-processing-for-functions-with-multiple-options
Related
MATLAB's methodsview tool is handy when exploring the API provided by external classes (Java, COM, etc.). Below is an example of how this function works:
myApp = actxserver('Excel.Application');
methodsview(myApp)
I want to keep the information in this window for future reference, by exporting it to a table, a cell array of strings, a .csv or another similar format, preferably without using external tools.
Some things I tried:
This window allows selecting one line at a time and doing "Ctrl+c Ctrl+v" on it, which results in a tab-separated text that looks like this:
Variant GetCustomListContents (handle, int32)
Such a strategy can work when there are only several methods, but not viable for (the usually-encountered) long lists.
I could not find a way to access the table data via the figure handle (w/o using external tools like findjobj or uiinspect), as findall(0,'Type','Figure') "do not see" the methodsview window/figure at all.
My MATLAB version is R2015a.
Fortunately, methodsview.m file is accessible and allows to get some insight on how the function works. Inside is the following comment:
%// Internal use only: option is optional and if present and equal to
%// 'noUI' this function returns methods information without displaying
%// the table. `
After some trial and error, I saw that the following works:
[titles,data] = methodsview(myApp,'noui');
... and returns two arrays of type java.lang.String[][].
From there I found a couple of ways to present the data in a meaningful way:
Table:
dataTable = cell2table(cell(data));
dataTable.Properties.VariableNames = matlab.lang.makeValidName(cell(titles));
Cell array:
dataCell = [cell(titles).'; cell(data)];
Important note: In the table case, the "Return Type" column title gets renamed to ReturnType, since table titles have to be valid MATLAB identifiers, as mentioned in the docs.
I have many .txt files like these: "u1.txt", "i3.txt", "p10.txt"... How to load all of these files to matlab, to variables like these: "u1", "u2"... "p1"... Here is my code:
clc, clear all
%% loading data
for j=0:3
switch j
case 0
variable='i';
case 1
variable='u';
case 2
variable='p';
case 3
variable='q';
end
for i=0:15
name = strcat(variable, int2str(i), '.txt')
fid=fopen(name,'r');
data=textscan(fid,'%*s%*s%s%s%s%*s','HeaderLines',10,'CollectOutput',1);
fclose(fid);
data=strrep(data{1},',','.');
data=cellfun(#str2num, data);
end
end
Problem is with variable data - how to change this variable to: "u1", "u2"... "p1"... after every loop?
You could use the variable names u1 u2 etc.. but I would strongly recommend not to do so. Then these consecutive variables u1 to u15 are totally individual variables and basically matlab can not iterate over these variables. For this purpose, I would use a struct which contains cell arrays. Use this line to assign:
allData.(variable){i}=data
And to get your data, instead of u1 use allData.u{1}. These are some more characters to write, but having such structured data results in much simpler code when you use the data.
//Code:
for j=0:3
switch j
case 0
variable='i';
case 1
variable='u';
case 2
variable='p';
case 3
variable='q';
end
for i=0:15
name = strcat(variable, int2str(i), '.txt')
fid=fopen(name,'r');
data=textscan(fid,'%*s%*s%s%s%s%*s','HeaderLines',10,'CollectOutput',1);
fclose(fid);
data=strrep(data{1},',','.');
data=cellfun(#str2num, data);
allData.(variable){i}=data;
end
end
Use eval.
For example:
x = input('Enter the name of the new variable: ','s');
eval([x,'=0:4;']);
In your case:
variablename = strcat(variable,int2str(i));
eval([variablename,'=cellfun(#str2num,',variablename,')'];
This is a good read: Creating variables on the run
You could use eval to do this:
eval([name '=textscan(fid,'%*s%*s%s%s%s%*s','HeaderLines',10,'CollectOutput',1);']);
I think that syntax is correct but I'm not sure. You might have to play around with it a bit to get it to work, which is a huge drawback to using eval in the first place. Not to mention the syntax parser can't work with it, making it more difficult to debug.
My recommendation would be to utilize MATLAB's capability to use dynamic fieldnames.
data.(name)=textscan(fid,'%*s%*s%s%s%s%*s','HeaderLines',10,'CollectOutput',1);
Much cleaner and much easier to debug.
My other recommendation is that you evaluate why you need to utilize this naming scheme in the first place. It will be much easier to create an array (numeric or cell) and use that numeric ID as an index rather than include it with the variable name.
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've been looking throught the documentation, but can't seem to find the bit I want.
I have a for loop and I would like to be able to view every value in the for loop.
for example here is a part of my code:
for d = 1 : nb
%for loop performs blade by blade averaging and produces a column vector
for cc = navg : length(atbmat);
atb2 = (sum(atbmat((cc-(navg-1):cc),d)))/navg;
atbvec2(:,cc) = atb2;
end
%assigns column vector 'atbvec2' to the correct column of the matrix 'atbmat2'
atbmat2(d,1:length(atbvec2)) = atbvec2;
end
I would like to view every value of atb2. I'm a python user(new to MATLAB) and would normally use a simple print statement to find this.
I'm sure there is a way to do it, but I can't quite find how.
Thankyou in advance.
you can use disp in Matlab to print to the screen but you might want to use sprintf first to format it nicely. However for debugging you're better off using a break point and then inspect the variable in the workspace browser graphically. To me, this is one of Matlab's best features.
Have a look at the "Examine Values" section of this article
The simplest way to view it everywhere is to change this line:
atb2 = (sum(atbmat((cc-(navg-1):cc),d)))/navg;
Into this, without semicolon:
atb2 = (sum(atbmat((cc-(navg-1):cc),d)))/navg
That being said, given the nature of your calculation, you could get the information you need as well by simply storing every value of abt2 and observing them afterwards. This may be done in atbmat2 already?
If you want to look at each value at the time it happens, consider setting a breakpoint or conditional breakpoint after the line where abt2 is assigned.
I am trying to create a function call graph for around 500 matlab src files. I am unable to find any tools which could help me do the same for multiple src files.
Is anyone familiar with any tools or plugins?
In case any such tools are not available, any suggestions on reading 6000 lines of matlab code
without documentation is welcome.
Let me suggest M2HTML, a tool to automatically generate HTML documentation of your MATLAB m-files. Among its feature list:
Finds dependencies between functions and generates a dependency graph (using the dot tool of GraphViz)
Automatic cross-referencing of functions and subfunctions with their definition in the source code
Check out this demo page to see an example of the output of this tool.
I recommend looking into using the depfun function to construct a call graph. See http://www.mathworks.com/help/techdoc/ref/depfun.html for more information.
In particular, I've found that calling depfun with the '-toponly' argument, then iterating over the results, is an excellent way to construct a call graph by hand. Unfortunately, I no longer have access to any of the code that I've written using this.
I take it you mean you want to see exactly how your code is running - what functions call what subfunctions, when, and how long those run for?
Take a look at the MATLAB Code Profiler. Execute your code as follows:
>> profile on -history; MyCode; profile viewer
>> p = profile('info');
p contains the function history, From that same help page I linked above:
The history data describes the sequence of functions entered and exited during execution. The profile command returns history data in the FunctionHistory field of the structure it returns. The history data is a 2-by-n array. The first row contains Boolean values, where 0 means entrance into a function and 1 means exit from a function. The second row identifies the function being entered or exited by its index in the FunctionTable field. This example [below] reads the history data and displays it in the MATLAB Command Window.
profile on -history
plot(magic(4));
p = profile('info');
for n = 1:size(p.FunctionHistory,2)
if p.FunctionHistory(1,n)==0
str = 'entering function: ';
else
str = 'exiting function: ';
end
disp([str p.FunctionTable(p.FunctionHistory(2,n)).FunctionName])
end
You don't necessarily need to display the entrance and exit calls like the above example; just looking at p.FunctionTable and p.FunctionHistory will suffice to show when code enters and exits functions.
There are already a lot of answers to this question.
However, because I liked the question, and I love to procrastinate, here is my take at answering this (It is close to the approach presented by Dang Khoa, but different enough to be posted, in my opinion):
The idea is to run the profile function, along with a digraph to represent the data.
profile on
Main % Code to be analized
p = profile('info');
Now p is a structure. In particular, it contains the field FunctionTable, which is a structure array, where each structure contains information about one of the calls during the execution of Main.m. To keep only the functions, we will have to check, for each element in FunctionTable, if it is a function, i.e. if p.FunctionTable(ii).Type is 'M-function'
In order to represent the information, let's use a MATLAB's digraph object:
N = numel(p.FunctionTable);
G = digraph;
G = addnode(G,N);
nlabels = {};
for ii = 1:N
Children = p.FunctionTable(ii).Children;
if ~isempty(Children)
for jj = 1:numel(Children)
G = addedge(G,ii,Children(jj).Index);
end
end
end
Count = 1;
for ii=1:N
if ~strcmp(p.FunctionTable(ii).Type,'M-function') % Keep only the functions
G = rmnode(G,Count);
else
Nchars = min(length(p.FunctionTable(ii).FunctionName),10);
nlabels{Count} = p.FunctionTable(ii).FunctionName(1:Nchars);
Count = Count + 1;
end
end
plot(G,'NodeLabel',nlabels,'layout','layered')
G is a directed graph, where node #i refers to the i-th element in the structure array p.FunctionTable where an edge connects node #i to node #j if the function represented by node #i is a parent to the one represented by node #j.
The plot is pretty ugly when applied to my big program but it might be nicer for smaller functions:
Zooming in on a subpart of the graph:
I agree with the m2html answer, I just wanted to say the following the example from the m2html/mdot documentation is good:
mdot('m2html.mat','m2html.dot');
!dot -Tps m2html.dot -o m2html.ps
!neato -Tps m2html.dot -o m2html.ps
But I had better luck with exporting to pdf:
mdot('m2html.mat','m2html.dot');
!dot -Tpdf m2html.dot -o m2html.pdf
Also, before you try the above commands you must issue something like the following:
m2html('mfiles','..\some\dir\with\code\','htmldir','doc_dir','graph','on')
I found the m2html very helpful (in combination with the Graphviz software). However, in my case I wanted to create documentation of a program included in a folder but ignoring some subfolders and .m files. I found that, by adding to the m2html call the "ignoreddir" flag, one can make the program ignore some subfolders. However, I didn't find an analogue flag for ignoring .m files (neither does the "ignoreddir" flag do the job). As a workaround, adding the following line after line 1306 in the m2html.m file allows for using the "ignoreddir" flag for ignoring .m files as well:
d = {d{~ismember(d,{ignoredDir{:}})}};
So, for instance, for generating html documentation of a program included in folder "program_folder" but ignoring "subfolder_1" subfolder and "test.m" file, one should execute something like this:
m2html( 'mfiles', 'program_folder', ... % set program folder
'save', 'on', ... % provide the m2html.mat
'htmldir', './doc', ... % set doc folder
'graph', 'on', ... % produce the graph.dot file to be used for the visualization, for example, as a flux/block diagram
'recursive', 'on', ... % consider also all the subfolders inside the program folders
'global', 'on', ... % link also calls between functions in different folders, i.e., do not link only the calls for the functions which are in the same folder
'ignoreddir', { 'subfolder_1' 'test.m' } ); % ignore the following folders/files
Please note that all subfolders with name "subfolder_1" and all files with name "test.m" inside the "program_folder" will be ignored.