Numpy MaskedArray.reshape() function | Python

# Python program explaining
# numpy.MaskedArray.reshape() 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]) 
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 =[1, 0, 1, 0]) 
print ("Masked array : ", mask_arr) 
  
# applying MaskedArray.reshape methods to make  
# it a 2d masked array
out_arr = mask_arr.reshape(2, 2) 
print ("Output 2D masked array : ", out_arr) 

# Python program explaining
# numpy.MaskedArray.reshape() 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([[[ 2e8, 3e-5]], [[ -45.0, 2e5]]])
print ("Input array : ", in_arr)
   
# Now we are creating a masked array. 
# by making one entry as invalid.  
mask_arr = ma.masked_array(in_arr, mask =[[[ 1, 0]], [[ 0, 0]]]) 
print ("3D Masked array : ", mask_arr) 
  
# applying MaskedArray.reshape methods to make  
# it a 2d masked array
out_arr = mask_arr.reshape(1, 4) 
print ("Output 2D masked array : ", out_arr) 
print()

# applying MaskedArray.reshape methods to make  
# it a 1d masked array
out_arr = mask_arr.reshape(4, ) 
print ("Output 1D masked array : ", out_arr)