In NumPy, the numpy.split() function is used to split an array into multiple sub-arrays along a specified axis. It allows you to divide an array into smaller arrays of equal size (if possible) or based on specified split points.
numpy.split(array, indices_or_sections, axis=0)
import numpy as np
arr = np.arange(10)
# Split arr into 5 equal-sized sub-arrays
sub_arrays = np.split(arr, 5)
print(sub_arrays)
[array([0, 1]), array([2, 3]), array([4, 5]), array([6, 7]), array([8, 9])]
numpy.split() is useful for dividing arrays into smaller parts, which can be helpful for various data processing tasks.