NAME

Chart::Plotly::Trace::Histogram2dcontour - The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot.

VERSION

version 0.023

SYNOPSIS

use HTML::Show;
use Chart::Plotly;
use Chart::Plotly::Trace::Histogram2dcontour;
my $histogram2dcontour =
  Chart::Plotly::Trace::Histogram2dcontour->new( x => [ map { int( 10 * rand() ) } ( 1 .. 500 ) ],
                                                 y => [ map { int( 10 * rand() ) } ( 1 .. 500 ) ] );

HTML::Show::show( Chart::Plotly::render_full_html( data => [$histogram2dcontour] ) );

DESCRIPTION

The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot.

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/#histogram2dcontour

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

  • autobinx

    Obsolete: since v1.42 each bin attribute is auto-determined separately and `autobinx` is not needed. However, we accept `autobinx: true` or `false` and will update `xbins` accordingly before deleting `autobinx` from the trace.

  • autobiny

    Obsolete: since v1.42 each bin attribute is auto-determined separately and `autobiny` is not needed. However, we accept `autobiny: true` or `false` and will update `ybins` accordingly before deleting `autobiny` from the trace.

  • autocolorscale

    Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.

  • autocontour

    Determines whether or not the contour level attributes are picked by an algorithm. If *true*, the number of contour levels can be set in `ncontours`. If *false*, set the contour level attributes in `contours`.

  • colorbar

  • colorscale

    Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)', [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.

  • contours

  • 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 .

  • histfunc

    Specifies the binning function used for this histogram trace. If *count*, the histogram values are computed by counting the number of values lying inside each bin. If *sum*, *avg*, *min*, *max*, the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.

  • histnorm

    Specifies the type of normalization used for this histogram trace. If **, the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If *percent* / *probability*, the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If *density*, the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If *probability density*, the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).

  • 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.

  • line

  • marker

  • name

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

  • nbinsx

    Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.

  • nbinsy

    Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.

  • ncontours

    Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is *true* or if `contours.size` is missing.

  • opacity

    Sets the opacity of the trace.

  • reversescale

    Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.

  • 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.

  • showscale

    Determines whether or not a colorbar is displayed for this trace.

  • stream

  • transforms

  • uid

  • 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.

  • 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).

  • x

    Sets the sample data to be binned on the x axis.

  • xaxis

    Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If *x* (the default value), the x coordinates refer to `layout.xaxis`. If *x2*, the x coordinates refer to `layout.xaxis2`, and so on.

  • xbins

  • xcalendar

    Sets the calendar system to use with `x` date data.

  • xsrc

    Sets the source reference on plot.ly for x .

  • y

    Sets the sample data to be binned on the y axis.

  • yaxis

    Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If *y* (the default value), the y coordinates refer to `layout.yaxis`. If *y2*, the y coordinates refer to `layout.yaxis2`, and so on.

  • ybins

  • ycalendar

    Sets the calendar system to use with `y` date data.

  • ysrc

    Sets the source reference on plot.ly for y .

  • z

    Sets the aggregation data.

  • zauto

    Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user.

  • zhoverformat

    Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. See: https://github.com/d3/d3-format/blob/master/README.md#locale_format

  • zmax

    Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well.

  • zmin

    Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well.

  • zsrc

    Sets the source reference on plot.ly for z .

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