# MATLAB one-liners

25 views (last 30 days)
Andrew Newell on 3 Mar 2011
One of the joys of using MATLAB is that it has a stock of matrix functions like diff, sort, all, and so on, that can be combined in all sorts of interesting ways. For example, in a recent question, the challenge was to find a compact code to determine which columns of a matrix A have all elements equal. Matt Tearle came up with this nifty answer:
all(~diff(A))
What are your favorite one-line MATLAB expressions?

Walter Roberson on 3 Mar 2011
cell2mat(arrayfun(@(K) accumarray(C, F(:,K), [], @mean), 1:size(F,2), 'Uniform', 0))
In response to a cssm question:
I have a feature matrix, F(m, n) and a cluster vector, C(m, 1).
Now I want to get the mean of feature in F according to C. Make
it simple as below:
F = [2 5; 3 7; 8 4]
C = [2; 1; 2]
output should be [3 7; (2+8)/2 (5+4)/2]
=[3 7; 5 4.5]
Matt Fig on 3 Mar 2011
ARRAYFUN, and ACUMARRAY? About all that is missing is to somehow work BSXFUN in there too!
Andrew Newell on 28 Mar 2011
Even though BSXFUN is missing, I decided to accept this one. Very clever, @Walter!

Matt Tearle on 3 Mar 2011
I'm a huge fan of logical indexing. Expressions like
mean(frogs(wombats > 42))
rock my world.
##### 3 CommentsShow 1 older commentHide 1 older comment
Sean de Wolski on 3 Mar 2011
I use the function 'keep' from the FEX which performs the inverse of clear.
I also use the variables 'in', 'out' a lot. So the other day I typed:
'keep out'
which kind of made my day.
Andrew Newell on 3 Mar 2011
I like it!

Sean de Wolski on 3 Mar 2011
Here's another from a thread today:
Given a connected components analysis (bwconncomp) and some criteria for objects to meet: remove objects that don't meet that criteria from your binary image:
I(cell2mat(CC.PixelIdxList(~idx)')) = false;
Sean de Wolski on 3 Mar 2011
idx can usually be a one line expression from cellfun making this a super-awesome-long-one-liner.

Matt Fig on 3 Mar 2011
Here is a good one. After already writing a solution to this Question, I stumbled upon this:
groups = mat2cell(A,diff([0;find(diff(A) ~= 1);length(A)]),1);
Pretty Slick.
Matt Tearle on 3 Mar 2011
Matt Fig: "LI is tops, but not always necessary or useful"
An unbeliever! Persecute! Kill the heretic!
Walter Roberson on 3 Mar 2011
Ah, I found my copy, and it was _not_ a 1 liner. I had used
b=diff(a); %find differences
idx = find([b 2]>1); %find their indexes
cel = mat2cell(a, 1, [idx(1) diff(idx)]); %break up the matrix

Matt Tearle on 3 Mar 2011
Inspired by something I'm working on right now & your comment to my previous answer...
If you have an n-by-1 structure array people with a field suck (which contains a scalar for each struct element), and you want to find the average:
mean([people.suck])
Extract multiple elements, concatenate, apply function. All in one line.
Andrew Newell on 3 Mar 2011
I like compact expressions with social commentary.

Andrew Newell on 3 Mar 2011
Turn a structure array S into a cell array with the names of the fields in the first column:
C = horzcat(fieldnames(S), squeeze(struct2cell(S)))

Andrew Newell on 6 Mar 2011
Here is a real beauty from a comment by Tim Davis on a guest blog for Loren Shure. Suppose you have three 2D vectors p1, p2 and p3, and you want to know if they are collinear. The shortest solution also happens to be numerically the most reliable:
rank ([p2-p1 ; p3-p1]) < 2
It is also easily generalized to more dimensions!

Oleg Komarov on 3 Mar 2011
eval('fliplr(['''' 33 33 33 33 33 76 105 118 69 32 109 39 73 ''''])')
MuAhahauHAh!!!
##### 3 CommentsShow 1 older commentHide 1 older comment
Oleg Komarov on 3 Mar 2011
You're the evilest!
the cyclist on 28 Mar 2011
I used to be an admin on a chess server where "qu" could be used as a shorthand to quit out of the interface. A common prank was to tell newbies that "qu" could be used to display the "quote of the day".

Andrew Newell on 4 Mar 2011
Here is an interesting way of calculating n rows of Pascal's triangle:
round(expm(diag(1:n-1,-1)))
Now if we could just remove the zeros and center it on the same line!
##### 3 CommentsShow 1 older commentHide 1 older comment
Doug Eastman on 29 Mar 2011
It's not pretty but just for fun, here's one way to do it:
trimmedTriangle = cell2mat(cellfun(@(x) x(1:size(num2str(expm(diag(1:n-1,-1))),2)),cellfun(@(x,y)[x y],cellfun(@(x) repmat(' ',1,x),num2cell(round(linspace(size(num2str(expm(diag(1:n-1,-1))),2)/2,0,n))'),'UniformOutput',false),regexprep(mat2cell(num2str(expm(diag(1:n-1,-1))),ones(n,1)),' 0',' '),'UniformOutput',false),'UniformOutput',false))
Andrew Newell on 29 Mar 2011
Wow! Three nested cellfuns! This deserves a separate answer.

Drew Weymouth on 4 Mar 2011
Read in an image and convert it to a grayscale, double matrix of data range 0..1
Walter Roberson on 4 Mar 2011
Your code would fail for images that happened to be already double or happened to be uint16.

### Categories

Find more on Historical Contests in Help Center and File Exchange

### Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!