colour.characterisation.RGB_DisplayPrimaries

class colour.characterisation.RGB_DisplayPrimaries(data=None, domain=None, labels=None, **kwargs)[source]

Implements support for a RGB display (such as a CRT or LCD) primaries multi-spectral distributions.

Parameters

  • data (Series or Dataframe or Signal or MultiSignals or MultiSpectralDistributions or array_like or dict_like, optional) – Data to be stored in the multi-spectral distributions.

  • domain (array_like, optional) – Values to initialise the multiple colour.SpectralDistribution class instances colour.continuous.Signal.wavelengths attribute with. If both data and domain arguments are defined, the latter will be used to initialise the colour.continuous.Signal.wavelengths attribute.

  • labels (array_like, optional) – Names to use for the colour.SpectralDistribution class instances.

Other Parameters

  • name (unicode, optional) – Multi-spectral distributions name.

  • interpolator (object, optional) – Interpolator class type to use as interpolating function for the colour.SpectralDistribution class instances.

  • interpolator_args (dict_like, optional) – Arguments to use when instantiating the interpolating function of the colour.SpectralDistribution class instances.

  • extrapolator (object, optional) – Extrapolator class type to use as extrapolating function for the colour.SpectralDistribution class instances.

  • extrapolator_args (dict_like, optional) – Arguments to use when instantiating the extrapolating function of the colour.SpectralDistribution class instances.

  • strict_labels (array_like, optional) – Multi-spectral distributions labels for figures, default to colour.characterisation.RGB_DisplayPrimaries.labels attribute value.

__init__(data=None, domain=None, labels=None, **kwargs)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__([data, domain, labels])

Initialize self.

align(shape[, interpolator, …])

Aligns the multi-spectral distributions in-place to given spectral shape: Interpolates first then extrapolates to fit the given range.

arithmetical_operation(a, operation[, in_place])

Performs given arithmetical operation with \(a\) operand, the operation can be either performed on a copy or in-place.

clone()

copy()

Returns a copy of the sub-class instance.

domain_distance(a)

Returns the euclidean distance between given array and independent domain \(x\) closest element.

extrapolate(shape[, extrapolator, …])

Extrapolates the multi-spectral distributions in-place according to CIE 15:2004 and CIE 167:2005 recommendations or given extrapolation arguments.

fill_nan([method, default])

Fill NaNs in independent domain \(x\) variable and corresponding range \(y\) variable using given method.

get()

interpolate(shape[, interpolator, …])

Interpolates the multi-spectral distributions in-place according to CIE 167:2005 recommendation or given interpolation arguments.

is_uniform()

Returns if independent domain \(x\) variable is uniform.

multi_signals_unpack_data([data, domain, …])

Unpack given data for multi-continuous signals instantiation.

normalise([factor])

Normalises the multi-spectral distributions with given normalization factor.

to_dataframe()

Converts the continuous signal to a Pandas DataFrame class instance.

to_sds()

Converts the multi-spectral distributions to a list of spectral distributions and update their name and strict name using the labels and strict labels.

trim(shape)

Trims the multi-spectral distributions wavelengths to given shape.

trim_wavelengths(shape)

zeros()

Attributes

data

domain

Getter and setter property for the colour.continuous.Signal sub-class instances independent domain \(x\) variable.

dtype

Getter and setter property for the continuous signal dtype.

extrapolator

Getter and setter property for the colour.continuous.Signal sub-class instances extrapolator type.

extrapolator_args

Getter and setter property for the colour.continuous.Signal sub-class instances extrapolator instantiation time arguments.

function

Getter and setter property for the colour.continuous.Signal sub-class instances callable.

interpolator

Getter and setter property for the colour.continuous.Signal sub-class instances interpolator type.

interpolator_args

Getter and setter property for the colour.continuous.Signal sub-class instances interpolator instantiation time arguments.

items

labels

Getter and setter property for the colour.continuous.Signal sub-class instances name.

mapping

name

Getter and setter property for the abstract continuous function name.

range

Getter and setter property for the colour.continuous.Signal sub-class instances corresponding range \(y\) variable.

shape

Getter and setter property for the multi-spectral distributions shape.

signal_type

Getter and setter property for the colour.continuous.Signal sub-class instances type.

signals

Getter and setter property for the colour.continuous.Signal sub-class instances.

strict_labels

Getter and setter property for the multi-spectral distributions strict labels.

strict_name

Getter and setter property for the multi-spectral distributions strict name.

title

values

Getter and setter property for the multi-spectral distributions values.

wavelengths

Getter and setter property for the multi-spectral distributions wavelengths \(\lambda_n\).

x

y

z