NAME
Chart::Plotly::Trace::Histogram2dcontour
SYNOPSIS
use HTML::Show;
use Chart::Plotly;
use Chart::Plotly::Trace::Histogram2dcontour;
my $histogram2dcontour = Chart::Plotly::Trace::Histogram2dcontour->new(x => [1 .. 5], y => [1 .. 5]);
HTML::Show::show(Chart::Plotly::render_full_html(data => [$histogram2dcontour]));
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/#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
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).
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.
ybins
autocolorscale
Determines whether or not the colorscale is picked using the sign of the input z values.
xbins
z
Sets the aggregation data.
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.
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`.
marker
reversescale
Reverses the colorscale.
_nestedModules
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.
line
zmin
Sets the lower bound of color domain.
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 z space, use zmin and zmax
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.
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.
zauto
Determines the whether or not the color domain is computed with respect to the input data.
y
Sets the sample data to be binned on the y axis.
showscale
Determines whether or not a colorbar is displayed for this trace.
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*.
zmax
Sets the upper bound of color domain.
contours
x
Sets the sample data to be binned on the x axis.