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|Packs (add-ons) for SWI-Prolog|
|Title:||Working with data matrices|
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|Author:||Nicos Angelopoulos http://stoics.org.uk/~nicos|
|Maintainer:||Nicos Angelopoulos http://stoics.org.uk/~nicos|
|Packager:||Nicos Angelopoulos http://stoics.org.uk/~nicos|
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mtx: Working with data matrices
This is an SWI-Prolog pack for working with data matrices, taking off from where library(csv) ends.
The library will hopefully grow to become auseful tool for logic programming based data science.
Install via SWI's package manager:
?- pack_install(mtx). % it will install pack(lib) if not present in your system ?- use_module(library(lib)). ?- lib(mtx). ?- mtx(data(mtcars),MtCars). Mtcars = [row(mpg, cyl, disp, hp, ....
At the very least
library(mtx) can be viewed as an addition/enhancement io of matrices to files via mtx/2.
The library can interrogate the data/ subdirectory of all installed packs for csv files using alias data.
?- mtx( data(mtcars), Mtcars ). Mtcars = [row(mpg, cyl, disp, hp, ....
mtcars.csv is in some pack's data directory.
?- mtx_data( mtcars, Mtcars ). Mtx = [row(mpg, cyl, disp, hp, ....)|...]
Where mtcars.csv is in
pack(mtx) data subdirectory.
mtx/2 works both as input and output.
If the 2nd argument is ground, mtx/2 with output the 2nd argument to the file pointed by the 1st. Else, the 1st argument is taken as the input file or matrix, and the 2nd argument is the same matrix in standard form.
?- tmp_file( mtc, TmpF ), mtx( pack('mtx/data/mtcars'), Mtc ), mtx( TmpF, Mtc ). TmpF = '/tmp/pl_mtc_14092_0', Mtc = [row(mpg, cyl,
The first call to mtx/2 above, inputs the test csv mtcars.csv, to Mtc (instantiated to list of rows). The second call, outputs Mtc to the temporary file TmpF.
?- mtx( data(mtcars), Mtcars, sep(comma) ). Mtcars = [row(mpg, cyl, disp, hp, ....)|...]
web-page: http://stoics.org.uk/~nicos/sware/mtx doc: http://stoics.org.uk/~nicos/sware/mtx/doc/html/mtx.html source: http://stoics.org.uk/~nicos/sware/packs/mtx/ github: https://github.com/nicos-angelopoulos/mtx
Nicos Angelopoulos http://stoics.org.uk/~nicos April 2018
Pack contains 81 files holding a total of 297K bytes.