smash.Samples.to_numpy#

Samples.to_numpy(axis=0)[source]#

Convert the Samples object to a numpy.ndarray.

The attribute arrays are stacked along a user-specified axis of the resulting array.

Parameters:

axisint, default 0: The axis along which the generated samples of each rainfall-runoff parameter and/or initial state will be joined.

Returns:

resnumpy.ndarray: It returns the Samples object as a numpy.ndarray.

Examples

>>> from smash.factory import generate_samples
>>> problem = {"num_vars": 2, "names": ["cp", "llr"], "bounds": [[1, 200], [1, 500]]}

Generate samples

>>> sample = generate_samples(problem, n=5, random_state=1)

Convert the result to a numpy.ndarray

>>> sample.to_numpy(axis=-1)
array([[ 83.98737894,  47.07695879],
       [144.34457419,  93.94384548],
       [  1.02276059, 173.43480279],
       [ 61.16418195, 198.98696964],
       [ 30.20442227, 269.86955027]])