utils.boundaries.get_boundaries

utils.boundaries.get_boundaries(data)

Calculates the minimum and maximum values for each column in a NumPy array.

Parameters

Name	Type	Description	Default
data	np.ndarray	A NumPy array of shape (n, k), where n is the number of rows and k is the number of columns.	required

Returns

Name	Type	Description
	tuple[np.ndarray, np.ndarray]	tuple[np.ndarray, np.ndarray]: A tuple containing two NumPy arrays: - The first array contains the minimum values for each column, with shape (k,). - The second array contains the maximum values for each column, with shape (k,).

Raises

Name	Type	Description
	ValueError	If the input array has shape (1, 0) (empty array).

Examples

>>> from spotoptim.utils.boundaries import get_boundaries
>>> import numpy as np
>>> data = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
>>> min_values, max_values = get_boundaries(data)
>>> print("Minimum values:", min_values)
Minimum values: [1 2 3]
>>> print("Maximum values:", max_values)
Maximum values: [7 8 9]