/ 
Chart-Plotly-0.042
River stage one • 2 direct dependents • 2 total dependents
/ Chart::Plotly::Trace::Splom

NAME

Chart::Plotly::Trace::Splom - Splom traces generate scatter plot matrix visualizations. Each splom `dimensions` items correspond to a generated axis. Values for each of those dimensions are set in `dimensions[i].values`. Splom traces support all `scattergl` marker style attributes. Specify `layout.grid` attributes and/or layout x-axis and y-axis attributes for more control over the axis positioning and style.

VERSION

version 0.042

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

Splom traces generate scatter plot matrix visualizations. Each splom `dimensions` items correspond to a generated axis. Values for each of those dimensions are set in `dimensions[i].values`. Splom traces support all `scattergl` marker style attributes. Specify `layout.grid` attributes and/or layout x-axis and y-axis attributes for more control over the axis positioning and style.

Screenshot of the above example:

Screenshot of the above example

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.

type

Trace type.

ATTRIBUTES

  • customdata

    Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, *scatter* traces also appends customdata items in the markers DOM elements

  • customdatasrc

    Sets the source reference on Chart Studio Cloud for `customdata`.

  • diagonal

  • dimensions

  • hoverinfo

    Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.

  • hoverinfosrc

    Sets the source reference on Chart Studio Cloud for `hoverinfo`.

  • hoverlabel

  • hovertemplate

    Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, *xother* will be added to those with different x positions from the first point. An underscore before or after *(x|y)other* will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.

  • hovertemplatesrc

    Sets the source reference on Chart Studio Cloud for `hovertemplate`.

  • hovertext

    Same as `text`.

  • hovertextsrc

    Sets the source reference on Chart Studio Cloud for `hovertext`.

  • ids

    Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.

  • idssrc

    Sets the source reference on Chart Studio Cloud for `ids`.

  • legendgroup

    Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.

  • legendgrouptitle

  • legendrank

    Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with `*reversed* `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items.

  • marker

  • pmeta

    Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.

  • metasrc

    Sets the source reference on Chart Studio Cloud for `meta`.

  • name

    Sets the trace name. The trace name appear as the legend item and on hover.

  • opacity

    Sets the opacity of the trace.

  • selected

  • selectedpoints

    Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.

  • showlegend

    Determines whether or not an item corresponding to this trace is shown in the legend.

  • showlowerhalf

    Determines whether or not subplots on the lower half from the diagonal are displayed.

  • showupperhalf

    Determines whether or not subplots on the upper half from the diagonal are displayed.

  • stream

  • text

    Sets text elements associated with each (x,y) pair to appear on hover. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates.

  • textsrc

    Sets the source reference on Chart Studio Cloud for `text`.

  • transforms

  • uid

    Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions.

  • uirevision

    Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.

  • unselected

  • visible

    Determines whether or not this trace is visible. If *legendonly*, the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).

  • xaxes

    Sets the list of x axes corresponding to dimensions of this splom trace. By default, a splom will match the first N xaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis.

  • xhoverformat

    Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time-format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: *%h* for half of the year as a decimal number as well as *%{n}f* for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat *%H~%M~%S.%2f* would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`.

  • yaxes

    Sets the list of y axes corresponding to dimensions of this splom trace. By default, a splom will match the first N yaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis.

  • yhoverformat

    Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time-format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: *%h* for half of the year as a decimal number as well as *%{n}f* for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat *%H~%M~%S.%2f* would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`.

AUTHOR

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

COPYRIGHT AND LICENSE

This software is Copyright (c) 2022 by Pablo Rodríguez González.

This is free software, licensed under:

The MIT (X11) License