There\'s a bunch of questions that are phrased similarly, but I was unable to find one that actually mapped to my intended semantics.
There are two lists, A
You can easily do this with numpy
by sorting both lists (to get a mapping between the two lists) and by inverting one of the sorting permutations:
import numpy as np
a = [7, 14, 0, 9, 19, 9]
b = [45, 42, 0, 1, -1, 0]
a = np.array(a)
b = np.array(b)
ai = np.argsort(a)
bi = np.argsort(b)
aiinv = np.empty(ai.shape,dtype=int)
aiinv[ai] = np.arange(a.size) # inverse of ai permutation
b_new = b[bi[aiinv]]
# array([ 0, 42, -1, 0, 45, 1])
numpy.argsort gives the indices (permutation) that will sort your array. This needs to be inverted to be used inside b
, which can be done by the inverted assignment
aiinv[ai] = np.arange(a.size)