Numpy / Scipy Connected Components

I am writing a python program to find "islands" 1s, 0s or -1s in an L * L matrix. I need This to find these "areas" of related components, mark each one and be able to return for a given element of the matrix m [ x] [y], the size of the island to which it belongs.

import numpy as np
from scipy import ndimage
from scipy import misc
import matplotlib.pyplot as plt

m = np.random.randint(-1,2,(L,L))

mask1 = (m == -1)
mask2 = (m == 0)
mask3 = (m == 1)

label_m1, nb_labels1 = ndimage.label(mask1)
label_m2, nb_labels2 = ndimage.label(mask2)
label_m3, nb_labels3 = ndimage.label(mask3)

      

        
        
        
      

    

This should give me labeled islands for a random matrix m (just an example), but I don't know how to get the size of the "area" that a given point belongs to. Could you help me? I have almost no programming experience, so forgive me if the question is stupid.

thank