Python - mumpy apply_along_axis

import numpy as np

data_1 = np.array([[1], [2]])
data_2 = np.array([[8], [9]])

for row1 in data_1:
    f = lambda row2: np.linalg.norm(row2-row1)
    distances = np.apply_along_axis(f, 1, data_2)
    print(distances.min())