In numpy.partition(), you can specify multiple kth values to partition the array. The function allows you to pass a single integer or an array of integers as the kth parameter.
Example:
If you want to partition an array around the 2nd and 4th smallest elements, you can do it like this:
import numpy as np
arr = np.array([3, 1, 4, 2, 5, 9, 6])
kth_values = [2, 4]
output = np.partition(arr, kth_values)
print("The partitioned array:", output)
In this case, the array will be rearranged such that the elements at the specified kth indices are in their correct positions, with elements before them being less and elements after them being greater.
Feel free to ask if you need more details!
