NAME

Chart::Plotly::Trace::Splom::Unselected::Marker - This attribute is one of the possible options for the trace splom.

VERSION

version 0.022

SYNOPSIS

use Chart::Plotly qw(show_plot);
use Chart::Plotly::Trace::Splom;

use Data::Dataset::Classic::Iris;

my $convert_array_to_arrayref = sub {[@_]};
my $iris = Data::Dataset::Classic::Iris::get(as => 'Data::Table');
my $data = $iris->group(['species'],[$iris->header], [$convert_array_to_arrayref, $convert_array_to_arrayref, $convert_array_to_arrayref, $convert_array_to_arrayref, $convert_array_to_arrayref], [map { join "", map {ucfirst} split /_/, $_ } $iris->header], 0 );

my @data_to_plot;
my $iterator = $data->iterator();
while (my $row = $iterator->()) {
    my $dimensions = [
        map { { label => $_, values => $row->{$_} } } qw(SepalLength SepalWidth PetalLength PetalWidth)
    ];
    push @data_to_plot, Chart::Plotly::Trace::Splom->new(
        name => $row->{species},
        dimensions => $dimensions
    );
}

show_plot([@data_to_plot]);

DESCRIPTION

This attribute is part of the possible options for the trace splom.

This file has been autogenerated from the official plotly.js source.

If you like Plotly, please support them: https://plot.ly/ Open source announcement: https://plot.ly/javascript/open-source-announcement/

Full reference: https://plot.ly/javascript/reference/#splom

DISCLAIMER

This is an unofficial Plotly Perl module. Currently I'm not affiliated in any way with Plotly. But I think plotly.js is a great library and I want to use it with perl.

METHODS

TO_JSON

Serialize the trace to JSON. This method should be called only by JSON serializer.

ATTRIBUTES

  • color

    Sets the marker color of unselected points, applied only when a selection exists.

  • opacity

    Sets the marker opacity of unselected points, applied only when a selection exists.

  • size

    Sets the marker size of unselected points, applied only when a selection exists.

AUTHOR

Pablo Rodríguez González <pablo.rodriguez.gonzalez@gmail.com>

COPYRIGHT AND LICENSE

This software is Copyright (c) 2018 by Pablo Rodríguez González.

This is free software, licensed under:

The MIT (X11) License