—use
Moose;
use
MooseX::ExtraArgs;
if
( !
defined
Moose::Util::TypeConstraints::find_type_constraint(
'PDL'
) ) {
Moose::Util::TypeConstraints::type(
'PDL'
);
}
our
$VERSION
=
'0.042'
;
# VERSION
# ABSTRACT: This attribute is one of the possible options for the trace histogram2dcontour.
sub
TO_JSON {
my
$self
=
shift
;
my
$extra_args
=
$self
->extra_args // {};
my
$meta
=
$self
->meta;
my
%hash
=
%$self
;
for
my
$name
(
sort
keys
%hash
) {
my
$attr
=
$meta
->get_attribute(
$name
);
if
(
defined
$attr
) {
my
$value
=
$hash
{
$name
};
my
$type
=
$attr
->type_constraint;
if
(
$type
&&
$type
->equals(
'Bool'
) ) {
$hash
{
$name
} =
$value
? \1 : \0;
}
}
}
%hash
= (
%hash
,
%$extra_args
);
delete
$hash
{
'extra_args'
};
if
(
$self
->can(
'type'
) && ( !
defined
$hash
{
'type'
} ) ) {
$hash
{type} =
$self
->type();
}
return
\
%hash
;
}
has
end
=> (
is
=>
"rw"
,
isa
=>
"Any"
,
documentation
=>
"Sets the end value for the x axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers."
,
);
has
size
=> (
is
=>
"rw"
,
isa
=>
"Any"
,
documentation
=>
"Sets the size of each x axis bin. Default behavior: If `nbinsx` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsx` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or *n* for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1). "
,
);
has
start
=> (
is
=>
"rw"
,
isa
=>
"Any"
,
documentation
=>
"Sets the starting value for the x axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5. "
,
);
__PACKAGE__->meta->make_immutable();
1;
__END__
=pod
=encoding utf-8
=head1 NAME
Chart::Plotly::Trace::Histogram2dcontour::Xbins - This attribute is one of the possible options for the trace histogram2dcontour.
=head1 VERSION
version 0.042
=head1 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] ) );
=head1 DESCRIPTION
This attribute is part of the possible options for the trace histogram2dcontour.
This file has been autogenerated from the official plotly.js source.
If you like Plotly, please support them: L<https://plot.ly/>
Open source announcement: L<https://plot.ly/javascript/open-source-announcement/>
Full reference: L<https://plot.ly/javascript/reference/#histogram2dcontour>
=head1 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.
=head1 METHODS
=head2 TO_JSON
Serialize the trace to JSON. This method should be called only by L<JSON> serializer.
=head1 ATTRIBUTES
=over
=item * end
Sets the end value for the x axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers.
=item * size
Sets the size of each x axis bin. Default behavior: If `nbinsx` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsx` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or *n* for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1).
=item * start
Sets the starting value for the x axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5.
=back
=head1 AUTHOR
Pablo RodrĂguez González <pablo.rodriguez.gonzalez@gmail.com>
=head1 COPYRIGHT AND LICENSE
This software is Copyright (c) 2022 by Pablo RodrĂguez González.
This is free software, licensed under:
The MIT (X11) License
=cut