News

The latest release is 1.54 (Feb. 10, 2008).

Relase 1.52 adds a new method Data::Table::fromFile(file_name).
It read automatically guess which OS generated the file, whether the first row is a column header, and whether the file is comma, tab, or colon-separated. It relies on the following new methods

fromFileGuessOS, fromFileGetFileLine, fromFileIsHeader, and fromFileGuessDelimiter to figure out either to call Data::Table::fromCSV or Data::Table::fromTSV with the correct arguments.

Please read document for details.

Since release 1.41, two very cool methods, group & pivot, have been added to the package.

Example

#!/usr/bin/perl
use Data::Table;
use CGI;
use DBI;
$q = new CGI;
print $q->header;
$dbh = DBI->connect("DBI:mysql:test", 'test', '');
$t = Data::Table::fromSQL($dbh,

 "select * from test.aa order by Entry");
$t->rename('Aminoacid', 'Amino acid');
$t->rename('Grams', 'Grams per 100g sol.');
$t->rename('Temp', 'Temp (C)');
$t->colMap('Amino acid', 

 sub { 

 "<a href='http://search.yahoo.com/bin/search?p=$_'>$_</a>"

 });
print "<b>table::html</b>";
print $t->html;
print "<br><b>table::html2</b>";
print $t->html2;

table::html

Entry	Amino acid	Solvent	Grams per 100g sol.	Temp (C)	Ref_No
1	Alanine	0.00	0.01	25.00	1
2	L-aspartate	0.00	0.00	25.00	2
3	L-glutamate	0.00	0.01	44.93	2
4	Glycine	0.00	0.00	25.00	1


table::html2

Entry	1	2	3	4
Amino acid	Alanine	L-aspartate	L-glutamate	Glycine
Solvent	0.00	0.00	0.00	0.00
Grams per 100g sol.	0.01	0.00	0.01	0.00
Temp (C)	25.00	25.00	44.93	25.00
Ref_No	1	2	2	1


New methods: group & pivot (Version 1.41, to be available)


$t = new Data::Table(
 [
 ['Tom', 'male', 'IT', 65000],
 ['John', 'male', 'IT', 75000],
 ['Peter', 'male', 'HR', 85000],
 ['Mary', 'female', 'HR', 80000],
 ['Nancy', 'female', 'IT', 55000],
 ['Jack', 'male', 'IT', 88000],
 ['Susan', 'female', 'HR', 92000]
 ],
 ['Name', 'Sex', 'Department', 'Salary'], 0);

sub average {
 my @data = @_;
 my ($sum, $n) = (0, 0);
 foreach $x (@data) {
 next unless $x;
 $sum += $x; $n++;
 }
 return ($n>0)?$sum/$n:undef;
}

$t2 = $t->group(["Department","Sex"],["Name", "Salary"], 

 [sub {scalar @_}, \&average],

 ["Nof Employee", "Average Salary"]);
print $t2->html;
Sex
Department
Nof Employee
Average Salary
male
IT
3
76000
male
HR
1
85000
female
HR
2
86000
female
IT
1
55000
$t2 = $t2->pivot("Sex", 0, "Average Salary",["Department"]);
print $t2->html;
Department
female
male
IT
55000
76000
HR
86000
85000