plotpipe: Allow expressions.
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Ole Tange
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@ -9,7 +9,7 @@ plotpipe - Plot CSV data from a pipe
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=head1 SYNOPSIS
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I<datagenerator> | B<plotpipe> [-n] [-H] [-0] [--log axis] [-C str] [-h] [-V]
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I<datagenerator> | B<plotpipe> [-n] [-H] [-0] [--log axis] [-C str] [-h] [-V] [I<expression>]
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=head1 DESCRIPTION
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@ -24,6 +24,16 @@ titles on the plot.
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=over 4
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=item I<expression>
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Evaluate I<expression>. I<expression> consists of parts separated by
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,. Each part is evaluated as a Perl expression. You can use {I<n>} as
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the column value:
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seq 10 | plotpipe '{1},{1},{1}**2,sqrt({1})'
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(echo x y;paste <(seq 10) <(seq 11 20)) |
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plotpipe {1},{2},{2}/{1}
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=item B<--colsep> I<string>
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=item B<-C> I<string>
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@ -76,7 +86,7 @@ Use \0 (NUL) instead of newline (\n) as record separator.
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=item B<-s> I<width>
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Smooth values. Take the average of I<width> y-values.
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Smooth values. Take the median of I<width> y-values.
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=item B<--version>
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@ -91,15 +101,15 @@ Show version
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=head1 EXAMPLE
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Plot the points (1,100) .. (100,1):
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Plot (1,100) .. (100,1):
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paste <(seq 100 -1 1) | plotpipe
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Plot the points (1,101) .. (100,200):
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Plot (1,101) .. (100,200):
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paste <(seq 100) <(seq 101 200) | plotpipe
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Plot the points (1,101) .. (100,200) and (1,300) .. (100,102):
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Plot (1,101) .. (100,200) and (1,300) .. (100,102):
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paste <(seq 100) <(seq 101 200) <(seq 300 -2 102) | plotpipe
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@ -146,11 +156,10 @@ input.csv:
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You are not limited to a simple graph, but can also do XY-line plots.
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seq 0 0.001 6.29 |
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perl -nE 'say sin($_*100)*0.3+0.5*cos($_*2),",",
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sin($_*2)-cos($_*100)*0.3,",",
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sin($_)+cos($_*99),",",
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sin($_*3)-cos($_*101)' |
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plotpipe
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plotpipe 'sin({1}*100)*0.3+0.5*cos({1}*2),
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sin({1}*2)-cos({1}*100)*0.3,
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sin({1})+cos({1}*99),
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sin({1}*3)-cos({1}*101)'
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=head1 LIMITS
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@ -189,7 +198,10 @@ B<pipeplot> uses B<gnuplot> and B<perl>.
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=head1 SEE ALSO
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B<gnuplot>, B<perl>
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B<gnuplot>, B<perl>, B<ploticus>
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(http://ploticus.sourceforge.net/doc/welcome.html), B<feedgnuplot>
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(https://github.com/dkogan/feedgnuplot), B<ttyplot>
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(https://github.com/tenox7/ttyplot)
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=cut
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@ -368,13 +380,15 @@ if(not GetOptions(options_hash())) {
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}
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$Global::progname = "plotpipe";
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$Global::version = 20210222;
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$Global::version = 20210302;
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if($opt::version) { version(); exit 0; }
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if($opt::help) { help(); exit 0; }
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if($opt::null) { $/ = "\0"; }
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my @eval_function = split/,/, join(" ",@ARGV);
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# Read csv
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my @csv = <>;
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my @csv = <STDIN>;
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# Title = lines starting with #
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my @title = map { s/^#//; s/"/''/g; $_ } map { "$_" } grep { /^#/ } @csv;
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@ -408,22 +422,41 @@ if($opt::header) {
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}
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# Convert input to perl table
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my $ncols = split /$opt::colsep/, $csv[0];
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my @tbl;
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if($ncols >= 2 and not $opt::nox) {
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# Column 1 = x-axis
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for(@csv) {
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chomp;
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my @row = split /$opt::colsep/, $_;
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push @tbl,\@row;
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for(@csv) {
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chomp;
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my @row = split /$opt::colsep/, $_;
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push @tbl,\@row;
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}
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# Eval
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if(@eval_function) {
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for(@eval_function) {
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my $new_header = $_;
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$new_header =~ s/\{(\d+)\}/$header[$1-1] || "\\\\{$1\\\\}"/ge;
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push @new_header, $new_header;
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}
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$opt::header = 1;
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@header = @new_header;
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for my $row (@tbl) {
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my @newrow = map {
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s/\{(\d+)\}/$row->[$1-1]/g;
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eval "$_"
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} map { $_ } @eval_function;
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$row = \@newrow;
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}
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}
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# Add x-axis if needed
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my $ncols = $#{$tbl[0]}+1;
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if($ncols >= 2 and not $opt::nox) {
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# Column 1 = x-axis => Data is fine
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} else {
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# All data = y-axis, invent x-axis
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# All data = y-axis => Invent x-axis
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my $x = 0;
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for(@csv) {
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chomp;
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my @row = ($x++, split /$opt::colsep/, $_);
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push @tbl,\@row;
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for my $row (@tbl) {
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my @newrow = ($x++, @$row);
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$row = \@newrow;
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}
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# Prepend dummy header for x-axis
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unshift(@header,"");
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@ -438,19 +471,42 @@ if($opt::smooth) {
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exit(255);
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}
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my $smooth = $opt::smooth-1;
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for(my $x = 0; $x < $smooth; $x++) {
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for (my $y = 0; $y <= $#{$tbl[$x]}; $y++) {
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$sum[$y] += $tbl[$x][$y] / $opt::smooth;
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}
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sub median {
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return ((sort { $a <=> $b } @_)[$#_/2]);
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}
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for(my $x = $smooth; $x <= $#tbl; $x++) {
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sub avg {
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my $s=0;
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map { $s += $_ } @_;
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return ($s / ($#_+1));
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}
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for(my $x = 0; $x < $#tbl-$smooth; $x++) {
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for (my $y = 0; $y <= $#{$tbl[$x]}; $y++) {
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$sum[$y] += $tbl[$x][$y] / $opt::smooth;
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$new[$x-$smooth][$y] = $sum[$y];
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$sum[$y] -= $tbl[$x-$smooth][$y] / $opt::smooth;
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my @med;
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for(my $m = $x; $m < $x+$smooth; $m++) {
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push @med, $tbl[$m][$y];
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}
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$new[$x+$smooth/2][$y] = median(@med);
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}
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}
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@tbl = @new;
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sub do_average() {
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for(my $x = 0; $x < $smooth; $x++) {
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for (my $y = 0; $y <= $#{$tbl[$x]}; $y++) {
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$sum[$y] += $tbl[$x][$y] / $opt::smooth;
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}
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}
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for(my $x = $smooth; $x <= $#tbl; $x++) {
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for (my $y = 0; $y <= $#{$tbl[$x]}; $y++) {
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$sum[$y] += $tbl[$x][$y] / $opt::smooth;
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$new[$x-$smooth][$y] = $sum[$y];
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$sum[$y] -= $tbl[$x-$smooth][$y] / $opt::smooth;
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}
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}
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@tbl = @new;
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}
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}
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# Save data to tmpfile that will be read by Gnuplot
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