NAME
Chart::Plotly::Trace::Sankey - Sankey plots for network flow data analysis. The nodes are specified in `nodes` and the links between sources and targets in `links`. The colors are set in `nodes[i].color` and `links[i].color`; otherwise defaults are used.
VERSION
version 0.019
SYNOPSIS
use Chart::Plotly qw(show_plot);
use Chart::Plotly::Trace::Sankey;
# Example data from: https://plot.ly/javascript/sankey-diagram/#basic-sankey-diagram
my $sankey = Chart::Plotly::Trace::Sankey->new(
orientation => "h",
node => {
pad => 15,
thickness => 30,
line => {
color => "black",
width => 0.5
},
label => [ "A1", "A2", "B1", "B2", "C1", "C2" ],
color => [ "blue", "blue", "blue", "blue", "blue", "blue" ]
},
link => {
source => [ 0, 1, 0, 2, 3, 3 ],
target => [ 2, 3, 3, 4, 4, 5 ],
value => [ 8, 4, 2, 8, 4, 2 ]
}
);
show_plot([ $sankey ]);
DESCRIPTION
Sankey plots for network flow data analysis. The nodes are specified in `nodes` and the links between sources and targets in `links`. The colors are set in `nodes[i].color` and `links[i].color`; otherwise defaults are used.
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/#sankey
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
arrangement
If value is `snap` (the default), the node arrangement is assisted by automatic snapping of elements to preserve space between nodes specified via `nodepad`. If value is `perpendicular`, the nodes can only move along a line perpendicular to the flow. If value is `freeform`, the nodes can freely move on the plane. If value is `fixed`, the nodes are stationary.
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 plot.ly for customdata .
domain
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 plot.ly for hoverinfo .
hoverlabel
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 plot.ly 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.
link
name
Sets the trace name. The trace name appear as the legend item and on hover.
node
opacity
Sets the opacity of the trace.
orientation
Sets the orientation of the Sankey diagram.
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.
stream
textfont
transforms
uid
valueformat
Sets the value formatting rule using d3 formatting mini-language which is similar to those of Python. See https://github.com/d3/d3-format/blob/master/README.md#locale_format
valuesuffix
Adds a unit to follow the value in the hover tooltip. Add a space if a separation is necessary from the value.
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).
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