Let's say I have a cell c_infos <1x313 cell>, that contains (among others) a name associated to a node_ID. c_infos{1,i}.node_ID and c_infos{1,i}.name. I want to create a matrix that for each node_ID, we do have all the associated names.
I started with:
function [] = displayNodeCusts (c_infos)
list = [] ;
for i = 1:length(c_infos)
for j = 1:length(c_infos)
if c_infos{1,i}.node_ID == c_infos{1,j}.node_ID
list(end+1) = c_infos{1,j}.name
end
end
end
end
But then I don't know which node is associated to the names.
You can use a function called cellfun which will perform the same task in all of the cells within your variable. By doing this, you can pull out all of the names without having to use for loops. I wrote some code as an example. Hope this helps.
listofnames = cellfun(#(x) x.name,c_infos,'UniformOutput',false);
uniquefromlist = unique(listofnames);
for aa = 1:length(uniquefromlist)
allrelevantentries = strcmp(uniquefromlist{aa},listofnames);
storage{aa} = {c_infos{allrelevantentries}};
end
Related
I'm trying to exctract some data from a nested structure in a recursive manner. First, I know that this has a field (values) which repeats itself inside the nested structure. Secondly I know that the structure which has those values has only structures as fields. In the below code I've tried to acces the structure.values by searching if my current structure has a field named values. If it has, I put .values at the end of my structure name. If it doesn't have this field, I verify if all the fields are structures. If they are, it means that I will have to consider them further and to extract the values from each one. If the fields are not structures, it means that they are values and I save them into a new simplified structure. Example of fields that I want: S.values.model1.values.mission.values.(alt/list). Currently, with the below code I'm only able to get the values from one field and then I get an error and don't know how to approach further.
Code example:
clear all
clc
S=struct()
S.case='1';
S.type='A';
S.values.model1.case='2'
S.values.model1.type='C'
S.values.model1.values.mission.case='3'
S.values.model1.values.mission.type='D'
S.values.model1.values.mission.values.alt='none'
S.values.model1.values.mission.values.list=2
S.values.model1.values.mission.values.parameter=4
S.values.model1.values.phase.case='4'
S.values.model1.values.phase.type='A'
S.values.model1.values.phase.values.num='all'
S.values.model1.values.phase.values.eq=2
S.values.model1.values.phase.values.unit=4
S.values.model1.values.analysis.case='1'
S.values.model1.values.phase.type='A'
S.values.model1.values.phase.values.nump1.list='all'
S.values.model1.values.phase.values.nump1.table='four'
S.values.model1.values.phase.values.nump1.mean=0
S.values.model1.values.phase.values.nump2.list='none'
S.values.model1.values.phase.values.nump2.table='three';
S.values.model1.values.phase.values.nump2.mean=1
s=S.values.model1;
names=fieldnames(s);
nnames=numel(names);
newStruct={};
[valsi,newstructi]=extractValues(names,s,nnames,newStruct)
function [vals,newStruct]=extractValues(names,vals,nnames,newStruct)
if any(strcmp(names,'values'))
vals=vals.('values');
names=fieldnames(vals)
nnames=numel(names)
[vals,newStruct]=extractValues(names,vals,nnames,newStruct);
end
for j=1:nnames
value(j)=isstruct((vals.(names{j})));
end
if all(value)
for k=1:nnames
vals=(vals.(names{k}));
names=fieldnames(vals);
nnames=numel(names);
[vals,newStruct]=extractValues(names,vals,nnames,newStruct);
end
else
for j=1:nnames
value=(vals.(names{j}));
newStruct.(names{j})=value;
end
end
end
As it is known beforehand what fields are requested you can arrange the subsequent filed names in a cell array and use a loop to extract the value:
names = {'values', 'model1', 'values', 'mission', 'values', 'alt'};
out = S;
for name : names
out = out.(name{1});
end
So that is a loop version of using:
out = S.values.model1.values.mission.values.alt;
EDIT:
If you want to list all field names and all field values you can used these functions:
function out = names(s, p)
if isstruct(s)
out = {};
f = fieldnames(s);
for i = 1:numel(f)
s1 = s.(f{i});
p1 = [p '.' f{i}];
out = [out; names(s1, p1)];
end
else
out = {p};
end
end
function out = values(s)
if isstruct(s)
out = {};
f = fieldnames(s);
for i = 1:numel(f)
out = [out; values(s.(f{i}))];
end
else
out = {s};
end
end
Use them as:
n = names(S, 'S');
v = values(S);
I have an array like t. It contains the numbers and I would like to add to each number the previous ones. For example: t=[0,2,3,5] and I would like to get tnew=[0,2,5,10]. I tried out this code but it is wrong for sure. (There are 5292 values)
for i=0:5292
t(i)=t(i)+t(i+1)
end
For some array t = [0,2,3,5];, you can just do tnew = cumsum(t).
If you really want to do this in a loop, you need to start from the 2nd index, and keep adding to the value from the previous index
t = [0,2,3,5];
tnew = t;
for ii = 2:numel(t)
tnew(ii) = t(ii) + tnew(ii-1);
end
I have a Matlab object, that is a cell array containting structs that have almost identical structures and I want to programmatically get a (sub)field of the structs of all cell array elements.
For example, we take test
test = {struct('a',struct('sub',1)), struct('a',struct('sub',2),'b',1)};
This will create a cell array with the following structure:
cell-element 1: a --> sub --> 1
cell-element 2: a --> sub --> 2
\-> b --> 1
It can be seen that the elements of test don't have the exact same structure, but similar. How can I get all values of the a.sub fields of the elements of the cell. I can obtain them in this specific problem with
acc=zeros(1,numel(test));
for ii=1:numel(test)
acc(ii) = test{ii}.a.sub;
end
but I can't quite get this method to work in a more general context (ie. having different fields).
You may want to use the function getfield:
%//Data to play with
test = {struct('a',struct('sub',1)), struct('a',struct('sub',2),'b',1)};
%//I'm interested in these nested fields
nested_fields = {'a', 'sub'};
%//Scan the cell array to retrieve the data array
acca = cellfun(#(x) getfield(x, nested_fields{:}), test);
In case your data cannot guarantee that all the elements are the same type and size, then you need to output a cell array instead:
%//Scan the cell array to retrieve the data cell array
accc = cellfun(#(x) getfield(x, nested_fields{:}), test, 'UniformOutput', false);
Later Edit
If one wants to use different sets of nested fields for each cell element then:
%//nested_fields list should have the same size as test
nested_fields = {{'a','sub'}, {'b'}};
accm = cellfun(#(x,y) getfield(x,y{:}), test, nested_fields, 'UniformOutput', false);
Edit: No need for recursion, as shown by #CST-link:s answer; the native getfield function can neatly unfold a cell array of fields as its second argument, e.g. getfield(foo{i}, fields{:}) instead of the call to the recursive function in my old answer below. I'll leave the recursive solution below, however, as it could have some value in the context of the question.
You can build you own recursive version of getField, taking a cell array of fields.
function value = getFieldRec(S,fields)
if numel(fields) == 1
value = getfield(S, fields{1});
else
S = getfield(S,fields{1})
fields{1} = [];
fields = fields(~cellfun('isempty',fields));
value = getFieldRec(S,fields);
end
end
Example usage:
foo = {struct('a',struct('sub',1)), ...
struct('a',struct('sub',2),'b',3), ...
struct('c',struct('bar',7),'u',5)};
accessFields = {'a.sub', 'b', 'c.bar'};
values = zeros(1,numel(foo));
for i = 1:numel(foo)
fields = strsplit(accessFields{i},'.');
values(i) = getFieldRec(foo{i},fields);
end
With the following result
values =
1 3 7
I have found a way to do this using eval:
function out = catCellStructSubField(cellStruct, fieldName)
out = zeros(1,numel(cellStruct));
for ii = 1:numel(cellStruct)
out(ii) = eval(['cellStruct{ii}.' fieldName]);
end
Where it can be used on my test example like this:
catCellStructSubField(test, 'a.sub')
Dynamic field names (cellStruct{ii}.(fieldName)) does not work because I'm accessing sub-fields.
I know eval is often a bad idea. I'm curious for different solutions.
I am trying to cycle through a list of variables I have say 30+ and calculate the maximum and minimum value for each column in each variable. Save this in a new array and then export to excel.
My thoughts were to use the who function to create an array with the name of all variables which are present. Then cycling through each one using a for loop after working out the size of the array which was created. This works fine, however when I try and use the string to reference the array it does not work.
I will add in the code which I have written hopefully someone will be able to come up with an easy solution :).
variable_list = who
cell2 = input('What cell size do you want to look at? ');
STARTcell = input('What was the start cell size? ');
[num_variables, temp] = size(variable_list);
for va = 1:num_variables
variable = variable_list{va}
[max_value, max_index] = max(variable{cell2/STARTcell})
[min_value, min_index] = min(variable{cell2/STARTcell})
format_values{va} = vertcat(max_values, max_index, min_value, min_index);
end
The variables I am looking at are arrays which is why I use the cell2/STARTcell to reference them.
You need to use the eval() function to be able to get the value of a variable corresponding to a string. For example:
a = 1;
b = 2;
variable_list = who;
c = eval(variable_list{2});
results in c being 2. In your code, the following line needs to change from:
variable = variable_list{va}
to:
variable = eval(variable_list{va});
resulting in variable having the value of the variable indicated by the string variable_list{va}. If variable is of cell type, then you should be fine, otherwise you may have to revise the next two lines of code as well because it seems that you are trying to access the content of a cell.
I was just wondering if there is a clean way to store a matrix after each iteration with a different name? I would like to be able to store each matrix (uMatrix) under a different name depending on which simulation I am on eg Sim1, Sim2, .... etc. SO that Sim1 = uMatrix after first run through, then Sim2 = uMatrix after 2nd run through. SO that each time I can store a different uMatrix for each different Simulation.
Any help would be much appreciated, and sorry if this turns out to be a silly question. Also any pointers on whether this code can be cleaned up would be great too
Code I am using below
d = 2;
kij = [1,1];
uMatrix = [];
RLABEL=[];
SimNum = 2;
for i =1:SimNum
Sim = ['Sim',num2str(i)] %Simulation number
for j=1:d
RLABEL = [RLABEL 'Row','',num2str(j) ' '];
Px = rand;
var = (5/12)*d*sum(kij);
invLam = sqrt(var);
u(j) = ((log(1-Px))*-invLam)+kij(1,j);
uMatrix(j,1) = j;
uMatrix(j,2) = u(j);
uMatrix(j,3) = kij(1,j);
uMatrix(j,4) = Px;
uMatrix(j,5) = invLam;
uMatrix(j,6) = var;
end
printmat(uMatrix,'Results',RLABEL,'SECTION u kij P(Tij<u) 1/Lambda Var')
end
There are really too many options. To go describe both putting data into, and getting data our of a few of these methods:
Encode in variable names
I really, really dislike this approach, but it seems to be what you are specifically asking for. To save uMatrix as a variable Sim5 (after the 5th run), add the following to your code at the end of the loop:
eval([Sim ' = uMatrix;']); %Where the variable "Sim" contains a string like 'Sim5'
To access the data
listOfStoredDataNames = who('Sim*')
someStoredDataItem = eval(listOfStoredDataNames {1}) %Ugghh
%or of you know the name already
someStoredDataItem = Sim1;
Now, please don't do this. Let me try and convince you that there are better ways.
Use a structure
To do the same thing, using a structure called (for example) simResults
simResults.(Sim) = uMatrix;
or even better
simResults.(genvarname(Sim)) = uMatrix;
To access the data
listOfStoredDataNames = fieldnames(simResults)
someStoredDataItem = simResults.(listOfStoredDataNames{1})
%or of you know the name already
someStoredDataItem = simResults.Sim1
This avoids the always problematic eval statement, and more importantly makes additional code much easier to write. For example you can easily pass all simResults into a function for further processing.
Use a Map
To use a map to do the same storage, first initialize the map
simResults = containers.Map('keyType','char','valueType','any');
Then at each iteration add the values to the map
simResults(Sim) = uMatrix;
To access the data
listOfStoredDataNames = simResults.keys
someStoredDataItem = simResults(listOfStoredDataNames{1})
%or of you know the name already
someStoredDataItem = simResults('Sim1')
Maps are a little more flexible in the strings which can be used for names, and are probably a better solution if you are comfortable.
Use a cell array
For simple, no nonsense storage of the results
simResults{i} = uMatrix;
To access the data
listOfStoredDataNames = {}; %Names are Not available using this method
someStoredDataItem = simResults{1}
Or, using a slight level of nonesense
simResults{i,1} = Sim; %Store the name in column 1
simResults{i,2} = uMatrix; %Store the result in column 2
To access the data
listOfStoredDataNames = simResults(:,1)
someStoredDataItem = simResults{1,2}
Just to add to the detailed answer given by #Pursuit, there is one further method I am fond of:
Use an array of structures
Each item in the array is a structure which stores the results and any additional information:
simResults(i).name = Sim; % store the name of the run
simResults(i).uMatrix = uMatrix; % store the results
simResults(i).time = toc; % store the time taken to do this run
etc. Each element in the array will need to have the same fields. You can use quick operations to extract all the elements from the array, for example to see the timings of each run at a glance you can do:
[simResults.time]
You can also use arrayfun to to a process on each element in the array:
anon_evaluation_func = #(x)( evaluate_uMatrix( x.uMatrix ) );
results = arrayfun( anon_evaluation_func, simResults );
or in a more simple syntax,
for i = 1:length(simResults)
simResults(i).result = evaluate_uMatrix( simResults(i).uMatrix );
end
I would try to use a map which stores a <name, matrix>.
the possible way to do it would be to use http://www.mathworks.com/help/matlab/map-containers.html