/ 
Chart-Plotly-0.013
River stage one • 2 direct dependents • 2 total dependents
/ Chart::Plotly::Trace::Histogram

NAME

Chart::Plotly::Trace::Histogram

VERSION

version 0.013

SYNOPSIS

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

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

DESCRIPTION

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/#histogram

NAME

Chart::Plotly::Trace::Histogram

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

  • autobinx

    Determines whether or not the x axis bin attributes are picked by an algorithm. Note that this should be set to false if you want to manually set the number of bins using the attributes in xbins.

  • autobiny

    Determines whether or not the y axis bin attributes are picked by an algorithm. Note that this should be set to false if you want to manually set the number of bins using the attributes in ybins.

  • error_x

  • error_y

  • 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*, the span of each bar corresponds to the percentage of occurrences with respect to the total number of sample points (here, the sum of all bin area equals 100%). 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 area equals the total number of sample points). If *probability density*, the span of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin area equals 1).

  • marker

  • 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.

  • 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.

  • orientation

    Sets the orientation of the bars. With *v* (*h*), the value of the each bar spans along the vertical (horizontal).

  • text

    Sets text elements associated with each (x,y) pair. 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.

  • x

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

  • xbins

  • y

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

  • ybins

  • name

    Sets the trace name

type

Trace type.

AUTHOR

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

COPYRIGHT AND LICENSE

Copyright (c) 2017 by Pablo Rodríguez González.

This is free software, licensed under:

The MIT (X11) License