colour.algebra.normalise_maximum¶

colour.algebra.normalise_maximum(a: ArrayLike, axis: Optional[Integer] = None, factor: Floating = 1, clip: Boolean = True) → NDArray[source]¶

Normalise given array \(a\) values by \(a\) maximum value and optionally clip them between.

Parameters

a (ArrayLike) – Array \(a\) to normalise.
axis (Optional[Integer]) – Normalization axis.
factor (Floating) – Normalization factor.
clip (Boolean) – Clip values to domain [0, ‘factor’].

Returns

Maximum normalised array \(a\).

Return type

numpy.ndarray

Examples

>>> a = np.array([0.48222001, 0.31654775, 0.22070353])
>>> normalise_maximum(a)  
array([ 1.        ,  0.6564384...,  0.4576822...])

colour.algebra.spow

colour.algebra.vector_dot