colour.algebra.normalise_vector

colour.algebra.normalise_vector(a: ArrayLike) → NDArrayFloat

Normalise the specified vector \(a\).

The normalisation process scales the vector to have unit length, ensuring that the magnitude of the resulting vector equals 1.

Parameters:

a (ArrayLike) – Vector \(a\) to normalise.

Returns:

Normalised vector \(a\) with unit length.

Return type:

numpy.ndarray

Examples

>>> a = np.array([0.20654008, 0.12197225, 0.05136952])
>>> normalise_vector(a)
array([ 0.8419703...,  0.4972256...,  0.2094102...])