I have a weird problem... I can't make legend: Lets say I have:
fraction1Str = strcat('F1 = ', sprintf('%g',round(fraction1*100)/100), '+/-',sprintf('%g',round(fraction1STD*100)/100));
fraction2Str = strcat('F2 = ', sprintf('%g',round(fraction2*100)/100), '+/-',sprintf('%g',round(fraction2STD*100)/100));
fraction3Str = strcat('F3 = ', sprintf('%g',round(fraction3*100)/100), '+/-',sprintf('%g',round(fraction3STD*100)/100));
fractionStr = [fraction1Str; fraction2Str; fraction3Str];
...
hleg = legend(fractionStr);
That is giving me error: CAT arguments dimensions are not consistent.
All strings are the same format, even number of chars... Interestingly if I change to one of i.e.
fractionStr = [fraction3Str; fraction3Str; fraction3Str];
fractionStr = [fraction2Str; fraction2Str; fraction2Str];
fractionStr = [fraction1Str; fraction1Str; fraction1Str];
its working, but no with these three different strings... Any ideas?
Related
how to read broken numbers on two lines in matlab?
I am generating some results in text files that are being broken into two lines. Example:
text x = 1.
2345 text
What would a code look like to read the value x = 1.2345?
Suppose the value of x = 1.2345 is in file named name.txt.
When it doesn't break the values I'm looking for:
text x = 1.2345 text
I use the following (working) code:
buffer = fileread('name.txt') ;
search = 'x = ' ;
local = strfind(buffer, search);
xvalue = sscanf(buffer(local(1,1)+numel(search):end), '%f', 1);
You can remove line breaks (and other "white space", if needed) before parsing the string:
>> str = sprintf('text x = 1.\n2345 text')
str =
'text x = 1.
2345 text'
>> str = regexprep(str, '\n', '')
str =
'text x = 1.2345 text'
I have a structure array with a large number of fields that I don't care about, so I want to extract the limited number of fields I DO care about and put it into a separate structure array.
For a structure array of size one, I've done this by creating the new array from scratch, for example:
structOld.a = 1;
structOld.b = 2;
structOld.usefulA = 'useful information';
structOld.usefulB = 'more useful information';
structOld.c = 3;
structOld.d = 'words';
keepFields = {'usefulA','usefulB'};
structNew = struct;
for fn = keepFields
structNew.(fn{:}) = structOld.(fn{:});
end
which gives
structNew =
usefulA: 'useful information'
usefulB: 'more useful information'
Is there a more efficient way of doing this? How can I scale up to an structure array (vector) of size N?
N = 50;
structOld(1).a = 1;
structOld(1).b = 2;
structOld(1).usefulA = 500;
structOld(1).usefulB = 'us';
structOld(1).c = 3;
structOld(1).d = 'ef';
structOld(2).a = 4;
structOld(2).b = 5;
structOld(2).usefulA = 501;
structOld(2).usefulB = 'ul';
structOld(2).c = 6;
structOld(2).d = 'in';
structOld(3).a = 7;
structOld(3).b = '8';
structOld(3).usefulA = 504;
structOld(3).usefulB = 'fo';
structOld(3).c = 9;
structOld(3).d = 'rm';
structOld(N).a = 10;
structOld(N).b = 11;
structOld(N).usefulA = 506;
structOld(N).usefulB = 'at';
structOld(N).c = 12;
structOld(N).d = 'ion';
In this case, I'd like to end up with:
structNew =
1x50 struct array with fields:
usefulA
usefulB
Keeping elements with empty usefulA/usefulB fields is fine; I can get rid of them later if needed.
Using rmfield isn't great because the number of useless fields far outnumbers the useful fields.
You can create a new struct array using existing data as follows:
structNew = struct('usefulA',{structOld.usefulA},'usefulB',{structOld.usefulB});
If you have an arbitrary set of field names that you want to preserve, you could use a loop as follows. Here, I'm first extracting the data from strcutOld into a cell array data, which contains each of the arguments the the struct call in the previous line of code. data{:} is now a comma-separated list of these arguments, the last line of code below is identical to the line above.
keepFields = {'usefulA','usefulB'};
data = cell(2,numel(keepFields));
for ii=1:numel(keepFields)
data{1,ii} = keepFields{ii};
data{2,ii} = {structOld.(keepFields{ii})};
end
structNew = struct(data{:});
function []= read_c3d_feat(output_list_relative)
dir_list = importdata(output_list_relative);
dim_feat = 512;
for i = 1 : size(dir_list, 1)
dir_str = char(dir_list(i));
feat_files = dir([dir_str, '/*.res5b']);
num_feat = length(feat_files);
feat = zeros(num_feat, dim_feat);
for j = 1 : num_feat
feat_path = strcat(dir_str, '/', feat_files(j).name);
...............
....................so on
Give me error like
Error using dir
Invalid path. The path must not contain a null character.
Error in read_c3d_feat (line 12)
feat_files = dir([dir_str, '/*.res5b']);
Your dir_list variable must have strings which contain null characters, as the error tells you. If you try using hard-coded strings you will see it works:
function read_c3d_feat(output_list_relative)
dir_list = {'21';'45';'18'};
for i = 1:size(dir_list, 1)
dir_str = dir_list{i}; % Loops through '21','45','18'
% The dir function now works because we know dir_str is a valid string
feat_files = dir([dir_str, '/*.res5b']);
end
end
This means you need to debug your code and find out what this line is actually assigning to dir_list:
dir_list = importdata(output_list_relative);
Note that if dir_list is a cell of text entries, you should be indexing it with curly braces as above. If instead it is a matrix (because all of the entries seem to be numerical anyway) then you should be using num2str when passing to dir:
function read_c3d_feat(output_list_relative)
dir_list = importdata(output_list_relative);
dim_feat = 512;
for i = 1:size(dir_list, 1)
feat_files = dir([num2str(dir_list(i)), '/*.res5b']);
% ...
I want to make the results like this:
phraseblanks
phrasemat = Hello and how are you?
Hi there everyone!
How is it going?
WHazzup?
Phrase 1 had 4 blanks
Phrase 2 had 3 blanks
Phrase 3 had 2 blanks
Phrase 4 had 0 blanks
New phrasemat is :
Hello&and&how&are&you?
Hi&there&everyone!
How&is&it&going?
WHazzup?
so I made script "phraseblanks.m":
phrasemat = char('Hello and how are you?', ...
'Hi there everyone!', 'How is it going?', 'WHazzup?')
[r, c] = size(phrasemat);
for i = 1:r
phrasemat_new = cell(r, c);
howmany = countblanks(phrasemat(i, :));
fprintf('Phrase %d had %d blanks\n', i, howmany);
phrasemat(i,:) = strrep(phrasemat(i,:),' ','&')
phrasemat_new{i,:} = [phrasemat(i,:)];
end
fprintf('Changing one is %s\n', eval('phrasemat_new'));
script "countblanks.m":
function num = countblanks(phrase)
% countblanks returns the # of blanks in a trimmed string
% Format: countblanks(string)
num = length(strfind(strtrim(phrase), ' '));
end
and I keep having errors.
please help me..
I modified slightly your phraseblanks.m so that it works.
phrasemat = {'Hello and how are you?', ...
'Hi there everyone!', ...
'How is it going?', ...
'WHazzup?'};
r = numel(phrasemat);
phrasemat_new = cell(1, r);
for i = 1:r
howmany = countblanks(phrasemat{i});
fprintf('Phrase %d had %d blanks\n', i, howmany);
phrasemat{i} = strrep(phrasemat{i}, ' ', '&');
phrasemat_new(i) = phrasemat(i);
end
fprintf('Changing one is %s\n', phrasemat_new{:});
Obviously it could be written in a nicer, more "matlaby-way", but I didn't want to stride too far from your original version. Also you could consider using regular expressions, since if you have to spaces next to each other and you want to treat them as one blank space.
How could I construct automatically a dataset like the one below, assuming that the number of columns of matrix summary_whts is approx. 400???
lrwghts = dataset(...
{summary_whts(:,01),'w00'},...
{summary_whts(:,02),'w01'},...
{summary_whts(:,03),'w02'},...
{summary_whts(:,04),'w03'},...
{summary_whts(:,05),'w04'},...
{summary_whts(:,06),'w05'},...
{summary_whts(:,07),'w06'},...
{summary_whts(:,08),'w07'},...
{summary_whts(:,09),'w08'},...
{summary_whts(:,10),'w09'},...
{summary_whts(:,11),'w10'},...
{summary_whts(:,12),'w11'},...
'ObsNames',summary_mthd);
Why not use a simple loop to populate dataset?
nCols = size(summary_whts,1);
dataset = cell(nCols, 2);
for i = 1:nCols
dataset{i,1} = summary_whts(:,i);
dataset{i,2} = sprintf('w%04d', i);
end
dataset{end+1,1} = 'ObsNames';
dataset(end, 2} = summary_mthd;
At last, I found it! This is what I was looking for:
cat = [];
for i = 0:(size(X,2)),
cat = [cat;sprintf('w%03d',i)];
end
cat = cellstr(cat);
lrwghts = dataset({summary_whts,cat{:}},'ObsNames',cellstr(summary_mthd));