mrdja.sampling.sampling_np_array_elements

mrdja.sampling.sampling_np_array_elements(elements: ndarray, num_samplings: int = 1, replacement: bool = False, len_elements: int | None = None, seed: int | None = None) → ndarray[source]

Sample elements from a numpy array.

Parameters:

  • elements (np.ndarray) – The array of elements to sample from.

  • num_samplings (int) – The number of elements to sample. Default is 1.

  • replacement (bool) – Whether to sample with replacement or not. Default is False.

  • len_elements (int) – The length of the elements array. Default is None.

  • seed (int) – The seed value for the random number generator. Default is None.

Returns:

The sampled elements.

Return type:

np.ndarray

Examples

>>> import numpy as np
>>> import mrdja.sampling as sampling
>>> sampling.sampling_np_array_elements(np.array([1,2,3,4,5]), 3, False, seed=42)
array([2, 5, 3])
>>> sampling.sampling_np_array_elements(np.array([(1,2),(3,4),(5,6),(7,8),(9,10)]), 3, False, seed=42)
array([[ 3,  4],
   [ 9, 10],
   [ 5,  6]])