# Python program explaining
# numpy.ndarray.itemset() function
  
# importing numpy as geek 
import numpy as geek
  
geek.random.seed(345)
arr = geek.random.randint(9, size =(3, 3))
print("Input array : ", arr)
  
arr.itemset(4, 0)
  
print ("Output array : ", arr)

Input array :  [[8 0 3]
 [8 4 3]
 [4 1 7]]
Output array :  [[8 0 3]
 [8 0 3]
 [4 1 7]]

# Python program explaining
# numpy.ndarray.itemset() function
  
# importing numpy as geek 
import numpy as geek
  
geek.random.seed(345)
arr = geek.random.randint(9, size =(3, 3))
print("Input array : ", arr)
  
arr.itemset((2, 2), 9)
  
print ("Output array : ", arr)

Input array :  [[8 0 3]
 [8 4 3]
 [4 1 7]]
Output array :  [[8 0 3]
 [8 4 3]
 [4 1 9]]