numpy.MaskedArray.argsort(axis=None, kind='quicksort', order=None, endwith=True, fill_value=None)

# Python program explaining
# numpy.MaskedArray.argsort() method 
  
# importing numpy as geek 
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
  
# creating input array 
in_arr = geek.array([4, 2, 3, -1, 5])
print ("Input array : ", in_arr)
  
# Now we are creating a masked array 
# by making third entry as invalid. 
mask_arr = ma.masked_array(in_arr, mask =[0, 0, 1, 0, 0])
print ("Masked array : ", mask_arr)
  
# applying MaskedArray.argsort methods to mask array
out_arr = mask_arr.argsort()
print ("output array of indices: ", out_arr)

Input array :  [ 4  2  3 -1  5]
Masked array :  [4 2 -- -1 5]
output array of indices:  [3 1 0 4 2]

# Python program explaining
# numpy.MaskedArray.argsort() method 
  
# importing numpy as geek 
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
  
# creating input array 
in_arr = geek.array([5, -5, 0, -10, 2])
print ("Input array : ", in_arr)
  
# Now we are creating a masked array 
# by making first third entry as invalid. 
mask_arr = ma.masked_array(in_arr, mask =[1, 0, 1, 0, 0])
print ("Masked array : ", mask_arr)
  
# applying MaskedArray.argminmethods to mask array
# and filling the masked location by 1
out_arr = mask_arr.argsort(fill_value = 1)
print ("output array of indices: ", out_arr)

Input array :  [  5  -5   0 -10   2]
Masked array :  [-- -5 -- -10 2]
output array of indices:  [3 1 0 2 4]