我试图填充哈希值作为矩阵。我的数据中有5个ID;每一行都以IDsm之一开始,这是我解析行中的第一个字段。这些ID将是我要构建的矩阵的列名。为了填充矩阵,我计算这些ID与其他记录的关联数(在解析行的最后一个字段中由;
分隔的物种名称)。我的代码如下。你能告诉我这段代码出了什么问题吗?
获得的结果是错误的(%hashorganism
的结果);我通过检查输入文件或使用额外的哈希检查(下面的代码中为%check
)来验证
我的输入示例在这里(请忽略cols 2 3 4和5,它们并不重要):
A1 4 5 6 7 sp1;sp2;sp3;sp4
A2 4 5 6 7 sp5
A4 4 5 6 7 sp1;sp2;sp3
A5 4 5 6 7 sp6
A3 4 5 6 7 sp1;sp2
A3 4 5 6 7 sp1
A4 4 5 6 7 sp2;sp4
A3 4 5 6 7 sp1;sp2;sp3;sp5
预期的矩阵在这里:
A1 A2 A3 A4 A5
sp1 1 0 3 1 0
sp2 1 0 2 2 0
sp3 1 0 1 1 0
sp4 1 0 0 1 0
sp5 1 1 0 0 0
sp6 0 0 0 0 1
我的代码在这里:
#!/usr/bin/perl
use warnings;
use strict;
use integer;
use Text::Table;
open( MAP, "<$ARGV[0]" ) || die "Problem in file opening : $ARGV[0]: $!\n";
my %hashorganism;
my %check;
my @IDS = ( "A1", "A2", "A3", "A4", "A5" );
my $j = 0;
while ( my $line = <MAP> ) {
chomp($line);
if ( $line ne "" ) {
my @tempo = split( /\t/, $line );
$tempo[$#tempo] =~ s/^\s//;
$tempo[$#tempo] =~ s/\s$//;
#print $tempo[$#tempo] , "\n" ;
if ( $tempo[1] >= 4 and $tempo[2] >= 5 and $tempo[3] >= 6 )
{ ## && $tempo[$10] >= $evalue
$j++;
my $la = $tempo[0];
#print $tempo[$#tempo], " **\n";
if ( $tempo[$#tempo] =~ /\;/ ) {
#print $line, "\n" ;
#print $line, "\n" ;
my @multiorg = split( /\;/, $tempo[$#tempo] );
foreach my $specie (@multiorg) {
$check{$specie}++;
$hashorganism{$specie}{$la}++;
## $hashorganism{$la."|".$specie}++ ;
foreach my $e (@IDS) {
if ( $e ne $la ) {
# print $e, "\n";
## $hashorganism{$e."|".$specie}=0;
$hashorganism{$specie}{$e} = 0;
}
#else {print $la, "\n";}
}
}
}
elsif ( $tempo[$#tempo] !~ /\;/ ) {
$check{ $tempo[$#tempo] }++;
$hashorganism{ $tempo[$#tempo] }{$la}++;
##$hashorganism{$la."|".$tempo[$#tempo]}++;
foreach my $l (@IDS) {
if ( $l ne $la ) {
#print $l, "\n";
$hashorganism{ $tempo[$#tempo] }{$l} = 0;
#$hashorganism{$l."|".$tempo[$#tempo]}=0;
}
#else {print $lake, "\n";}
}
} else {
print $line, "something going wrong in your data\n";
}
}
}
}
print "The number of parsed lines : $j \n";
# print the whole hash of hashes
print "\tA1\t", "A2\t", "A3\t", "A4\t", "A5\n";
my $count = 0;
foreach my $org ( sort keys %hashorganism ) {
print $org, "\t";
foreach $_ ( sort keys %{ $hashorganism{$org} } ) {
print "$hashorganism{$org}{$_}\t";
}
print "\n";
}
foreach my $sp ( sort keys %check ) {
print $sp, "\t $check{$sp}\n";
}
答案 0 :(得分:0)
您可以简化程序,并处理打印阶段为0的sp n / A n 组合。这是一个简单代码的演示,它将执行相同的操作。我在代码中添加了注释来解释 - 显然你的生产代码中不需要它们,所以随意删除它们!
#!/usr/bin/perl
use warnings ;
use strict ;
open (MAP,"<$ARGV[0]") || die "Problem in file opening : $ARGV[0]: $!\n";
my %org_h;
my @IDS = ("A1", "A2", "A3", "A4", "A5");
my $j = 0;
while( my $line = <MAP>)
{ # skip the line unless it contains alphanumeric characters
next unless $line =~ /\w/;
chomp($line);
my @tempo = split(/\t/, $line);
$tempo[$#tempo] =~ s/^\s// ;
$tempo[$#tempo] =~ s/\s$// ;
if ($tempo[1] >= 4 and $tempo[2] >= 5 and $tempo[3] >= 6 ) {
$j++;
my $la = $tempo[0];
# it is safe to split every $tempo[$#tempo] -- it makes the code simpler
# if $tempo[$#tempo] only contains one sp, you'll get an array of size 1
my @multiorg = split ';', $tempo[$#tempo];
for my $sp (@multiorg) {
$org_h{$sp}{$la}++;
}
}
}
print "The number of valid parsed lines : $j \n";
# print the header line
# join prints an array of items, separated by the first argument - "\t" here
print join("\t", '', @IDS) . "\n";
for my $org ( sort keys %org_h ) {
# the 'join' prints a tab-separated array containing $org and a mapped array
# 'map' applies an expression to every member of an array -- it's like using
# a 'for' loop. In this case, for every member of @IDS, print $org_h{$org}{$_}
# if it exists or (if it doesn't exist or is false) print 0.
print join("\t", $org, map { $org_h{$org}{$_} || "0" } @IDS) . "\n";
}
您不需要%check
- 它会复制%org_h
哈希的第一级。
由于以下行,您的代码出错了:
foreach my $e (@IDS) {
if ($e ne $la) {
# print $e, "\n";
$hashorganism{ $specie }{ $e } = 0;
}
}
(其中$la
是该行第一列中的ID,而$specie
是该种类)
我认为您正在尝试填写缺失的0进行打印,而是将所有其他ID的$specie
数据归零。理想情况下,您应该检查$hashorganism{$specie}{$e}
是否已经存在(if (! defined $hashorganism{$specie}{$e}) ...
),这样您就不会有删除现有数据的风险。但是,在打印时填写缺失的空白要容易得多。
答案 1 :(得分:0)
这与昨天的问题非常接近:rearrange data from one column to a row
主要区别在于您使用Text::Table
与csv输出表格。
我还添加了Sort::Key::Natural qw(natsort)
的使用,以防止只有一位数的列或行,即。 sp10来自sp9。
use strict;
use warnings;
use autodie;
use Sort::Key::Natural qw(natsort);
use Text::Table;
my %row;
my %cols;
while (<DATA>) {
chomp;
my ( $col, $species ) = ( split ' ', $_, 6 )[ 0, -1 ];
$cols{$col}++;
$row{$_}{$col}++ for split ';', $species;
}
my @cols = natsort keys %cols;
# Header:
my $tb = Text::Table->new( '', @cols );
$tb->load(
map {
[ $_, map { $_ // 0 } @{ $row{$_} }{@cols} ]
} natsort keys %row
);
print $tb;
__DATA__
A1 4 5 6 7 sp1;sp2;sp3;sp4
A2 4 5 6 7 sp5
A4 4 5 6 7 sp1;sp2;sp3
A5 4 5 6 7 sp6
A3 4 5 6 7 sp1;sp2
A3 4 5 6 7 sp1
A4 4 5 6 7 sp2;sp4
A3 4 5 6 7 sp1;sp2;sp3;sp5
输出:
A1 A2 A3 A4 A5
sp1 1 0 3 1 0
sp2 1 0 2 2 0
sp3 1 0 1 1 0
sp4 1 0 0 1 0
sp5 0 1 1 0 0
sp6 0 0 0 0 1