[scilab-Users] advice in reading huge text file including words and numbers

[CHEZE David 227480]

Hi,

 

You should use the improved function csv_read() (from ATOMS "CSV read write" toolbox)  instead of native read_csv() : it's far faster and configuration is easy.

 

Hope it can help,

 

David

 

De : Carrico, Paul [mailto:paul.carrico at esterline.com] 
Envoyé : vendredi 10 juin 2011 12:37
À : users at lists.scilab.org
Objet : [scilab-Users] advice in reading huge text file including words and numbers

 

Dear all,

 

May I have some advices in the way to read a (huge) text file including words and numbers ? ... Let me saying that both words and numbers are important and they have to be recorded !

 

 

By using the following way it works, but for huge text file including hundred thousands of line it's too long ....

- reading each line up to the end

- on each line determining the space character localization to determine the columns

- converting the text in number using eval(part ....))

- recording ...

- and so on

 

Furthermore as often I'm sure internal Scilab function exists providing better (and faster) results ....

 

I tried fscanfMAT function (failed) as well as the read_csv one ... the previous function works but how can I distinguish characters from numbers ? another function than eval ?

 

A basic example is provided to well understand the request

 

Thanks for any advice

 

Paul

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