# Python program explaining
# numpy.MaskedArray.argmin() 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([1, 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.argmin methods to mask array
out_arr = mask_arr.argmin()
print ("Index of min element in masked array : ", out_arr)

Input array :  [ 1  2  3 -1  5]
Masked array :  [1 2 -- -1 5]
Index of min element in masked array :  3

# Python program explaining
# numpy.MaskedArray.argmin() 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([10, 20, 30, -10, 50])
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 -100
out_arr = mask_arr.argmin(fill_value = 100)
print ("Index of min element in masked array : ", out_arr)

Input array :  [ 10  20  30 -10  50]
Masked array :  [-- 20 -- -10 50]
Index of min element in masked array :  0