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Direc­tory obsolete/macros/latex/contrib/csvtools

LaTeX Package : csvtools v 1.24

Last Modified : 3 July 2007

Author        : Nicola Talbot

Files         : csvtools.dtx   - documented source file
                csvtools.ins   - installation script
		csvtools.pl    - Perl script

The csvtools package allows you to repeatedly perform
a set of LaTeX commands on data in each row
of a comma separated variable (CSV) file.
This can be used for mail merging, generating
tables etc.  Examples given in documentation.

To extract the code, do:

latex csvtools.ins

This will create the files csvtools.sty, csvpie.sty and csvsort.sty.
These files should be place somewhere on TeX's search path.

To extract the documentation, do:

latex csvtools.dtx
latex csvtools.dtx

(If you want the documented source code as well, remove the command
\OnlyDescription from csvtools.dtx)

Alternatively, if you use pdflatex instead of latex, the documentation will
have hyperlinks.

This material is subject to the LaTeX Project Public License.
See http://www.ctan.org/tex-archive/help/Catalogue/licenses.lppl.html for
details of that license.


Down­load the con­tents of this pack­age in one zip archive (214.2k).

csv­tools – Read­ing data from CSV files

The csv­tools pack­age al­lows you to re­peat­edly per­form a set of com­mands on data in each row of a comma sep­a­rated vari­able (CSV) file (though sub­sti­tu­tion of the ‘comma’ is per­mit­ted). Such files may be used as source for mail merg­ing, gen­er­at­ing ta­bles etc. Ex­am­ples are given in the doc­u­men­ta­tion.

The dis­tri­bu­tion also pro­vides pack­ages:

  • csv­sort, that pro­vides analagous com­mands to those in the main pack­age, hav­ing first sorted the data (us­ing the xfor and com­pare pack­ages); and
  • csvpie, for cre­at­ing a pie-chart from a CSV file.

The bun­dle has now been su­per­seded by the data­tool bun­dle.

Li­cense The Project Public Li­cense
Main­tainerNi­cola Tal­bot
Con­tained inMiKTeX as csv­tools
Topics im­port­ing data into doc­u­ments
pack­age de­clared ob­so­lete
vi­su­al­i­sa­tion of data sets
Read, pro­cess and con­vert CSV data
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