Le 30/04/2019 à 08:44, Carrico, Paul a écrit :
Dear All
I’ve been using successfully Scilab for years, to develop my projects;
I do not remember if I’ve ever had to deal with huge matrixes but
that’s the case today.
Using “csvRead”, I got a matrix with 2.3 million of rows and 6 columns
(it took about 240 seconds to read it J); nevertheless I’ve been
surprised when I tried to remove the first row and the last column
using basically:
This one is quasi instantaneous, although it needs to move all the
variable content in memory
MAT(1,:) = [];
But this stucks Scilab, you are right:
MAT(:,$) = [];
athough it should the faster of both (large number of rows but no copy
needed, trim the block in memory should be enough).
@Samuel: I think we already have something similar signaled in Bugzilla
S.
Indeed I needed to kill the process after about 10 minutes (same
result both under Windows 10 and Linux – RAM not fully used).
By comparison, the same process is instantaneous under Python using
Numpy (numpy.delete) using of course the same matrix.
A feedback I wanted to share ….
PaulEXPORT CONTROL :
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Stéphane Mottelet
Ingénieur de recherche
EA 4297 Transformations Intégrées de la Matière Renouvelable
Département Génie des Procédés Industriels
Sorbonne Universités - Université de Technologie de Compiègne
CS 60319, 60203 Compiègne cedex
Tel : +33(0)344234688
http://www.utc.fr/~mottelet
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