base.LatinSquare

base.LatinSquare(size, baseline=1, seed=None)

Generate a random (n x d) Latin square

Parameters

Name	Type	Description	Default
`size`	tuple of ints	Output shape of (n,d), where `n` and `d` are the number of rows and columns, respectively.	required
`baseline`	int	A integer, which defines the minimum value for each column of the matrix. Defaults to 1.	`1`
`seed`	Optional[Union[int, np.random.Generator]])	If `seed`is an integer or None, a new numpy.random.Generator is created using np.random.default_rng(seed). If `seed` is already a ``Generator` instance, then the provided instance is used. Defaults to None.	`None`

Type	Description
numpy.numpy.ndarray	Generated random (n x d) Latin square, in which each column is a random permutation of {baseline,baseline+1, …, baseline+(n-1)}

Examples:

import pyLHD
pyLHD.LatinSquare(size = (5,5),seed = 1)

array([[2, 4, 1, 4, 2],
       [4, 5, 3, 2, 4],
       [1, 3, 4, 3, 3],
       [5, 2, 2, 1, 1],
       [3, 1, 5, 5, 5]])