Skip to main content

Extracting matrix rows when one of its elements is part of a list (without a loop)


I have a matrix whose rows I want to extract based on whether the elements of one of its columns is a member of another vector (calling it the "comparison vector"). I would like to get better at using functional programming, and so I want to avoid using a loop, if it´s possible. I believe I have the right functions: Selectand MemberQ. But I can´t coerce MemberQ to compare the element of the matrix to each element of the comparison vector.


If there´s a duplicate answer, I´m willing to be lead to it (I´ve searched though)...


Addition to my question:


 mymatrix={{1, 1, -56}, {1, 2, 3.06}, {2, 0, -30.02}, {3, 1, -7.291}, {3, 2,1.93}, {4, 0, 0}, {5, 0, 0}, {5, 1, -356.4}, {6, 1, 9.945}, {7,0, -7.512}};


compvector={1,2,6,7,11,12,16,17};

I would like to extract the rows of ´mymatrix´ based on whether the values of the first column of ´mymatrix´ are in ´compvector´.



Answer



New solution


Cases[mymatrix, {x_, _, _} /; MemberQ[compvector, x]]


{{1, 1, -56}, {1, 2, 3.06}, {2, 0, -30.02}, {6, 1, 9.945}, {7, 0, -7.512}}




I do not take credit for this solution, someone posted this here before me but in the confusion over what the problem was that person (whose name I do not remember) deleted his answer :(


Here's another answer that does not use Cases.


First let's define what columns are required to be in compvector, first and second for example:


required = {True, True, False}

Then


Select[mymatrix, And @@ (MemberQ[compvector, #] & /@ Pick[#, required]) &]



{{1, 1, -56}, {1, 2, 3.06}, {6, 1, 9.945}}



If the requirement is just that a specific column should exist, this can obviously be made a lot simpler. See aky's answer.


The complaint for the first version was that if there are many columns the pattern would also be very long, {x_,_,_,_ ...: this is not really true, one could write a short pattern to match such a list.


Old solution, not what the OP wants


First define some test data:


comparison = Range[10]


{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}




matrix = RandomInteger[100, {10, 5}]


{{46, 51, 84, 49, 52}, {12, 22, 7, 51, 56}, {74, 61, 9, 23, 93}, {97, 0, 23, 87, 78}, {23, 29, 83, 68, 21}, {79, 1, 25, 13, 84}, {23, 85,
35, 83, 83}, {2, 29, 50, 22, 88}, {34, 61, 91, 84, 29}, {60, 51, 96,
48, 68}}



The test:


Select[matrix, Length[Intersection[comparison, #]] > 0 &]



{{12, 22, 7, 51, 56}, {74, 61, 9, 23, 93}, {79, 1, 25, 13, 84}, {2,
29, 50, 22, 88}}



Comments

Popular posts from this blog

functions - Get leading series expansion term?

Given a function f[x] , I would like to have a function leadingSeries that returns just the leading term in the series around x=0 . For example: leadingSeries[(1/x + 2)/(4 + 1/x^2 + x)] x and leadingSeries[(1/x + 2 + (1 - 1/x^3)/4)/(4 + x)] -(1/(16 x^3)) Is there such a function in Mathematica? Or maybe one can implement it efficiently? EDIT I finally went with the following implementation, based on Carl Woll 's answer: lds[ex_,x_]:=( (ex/.x->(x+O[x]^2))/.SeriesData[U_,Z_,L_List,Mi_,Ma_,De_]:>SeriesData[U,Z,{L[[1]]},Mi,Mi+1,De]//Quiet//Normal) The advantage is, that this one also properly works with functions whose leading term is a constant: lds[Exp[x],x] 1 Answer Update 1 Updated to eliminate SeriesData and to not return additional terms Perhaps you could use: leadingSeries[expr_, x_] := Normal[expr /. x->(x+O[x]^2) /. a_List :> Take[a, 1]] Then for your examples: leadingSeries[(1/x + 2)/(4 + 1/x^2 + x), x] leadingSeries[Exp[x], x] leadingSeries[(1/x + 2 + (1 - 1/x...

mathematical optimization - Minimizing using indices, error: Part::pkspec1: The expression cannot be used as a part specification

I want to use Minimize where the variables to minimize are indices pointing into an array. Here a MWE that hopefully shows what my problem is. vars = u@# & /@ Range[3]; cons = Flatten@ { Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; Minimize[{Total@((vec1[[#]] - vec2[[u[#]]])^2 & /@ Range[1, 3]), cons}, vars, Integers] The error I get: Part::pkspec1: The expression u[1] cannot be used as a part specification. >> Answer Ok, it seems that one can get around Mathematica trying to evaluate vec2[[u[1]]] too early by using the function Indexed[vec2,u[1]] . The working MWE would then look like the following: vars = u@# & /@ Range[3]; cons = Flatten@{ Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; NMinimize[ {Total@((vec1[[#]] - Indexed[vec2, u[#]])^2 & /@ R...

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]