[Scilab-users] using csvRead

[Samuel Gougeon]

Le 15/10/2016 19:16, Rafael Guerra a écrit :
>
> Hi Samuel,
>
> As the data is loaded by csvRead as strings in the example below (if 
> loading as doubles then we get NaN’s), it will require further 
> processing to convert it to numeric (using evstr, tokens or other).
>
> For very large data files, this seems to be rather slow compared to 
> the mfscanf or fscanfMatsolutions.
>
> What do you think?
>
.
AFAIK, fscanfMat() is very stiff. It can parse files only for numbers, 
with no interstitial contents.
I know no benchmark comparing csvRead() + evstr() vs mfscanf(). Despite 
evstr() is vectorized, you may be right. Explicit results would be 
interesting.
mfscanf() requires the structure of a row been explicitly known. But 
then it looks certainly the most versatile and adaptable solution to 
read and split it.
csvRead() requires just to know the separator.

Samuel

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.scilab.org/pipermail/users/attachments/20161015/3e047161/attachment.htm>