numpy array change dimension

np.reshape(a, (2, 3)) # C-like index ordering
array([[0, 1, 2],
       [3, 4, 5]])
np.reshape(np.ravel(a), (2, 3)) # equivalent to C ravel then C reshape
array([[0, 1, 2],
       [3, 4, 5]])
np.reshape(a, (2, 3), order='F') # Fortran-like index ordering
array([[0, 4, 3],
       [2, 1, 5]])
np.reshape(np.ravel(a, order='F'), (2, 3), order='F')
array([[0, 4, 3],
       [2, 1, 5]])

# Python Program illustrating 
# numpy.reshape() method 
  
import numpy as geek 
  
array = geek.arange(8) 
print("Original array : \n", array) 
  
# shape array with 2 rows and 4 columns 
array = geek.arange(8).reshape(2, 4) 
print("\narray reshaped with 2 rows and 4 columns : \n", array) 
 arr2 = geek.arange(8).reshape(2,4,1)
# shape array with 4 rows and 2 columns 
array = geek.arange(8).reshape(4 ,2) 
print("\narray reshaped with 2 rows and 4 columns : \n", array) 
  
# Constructs 3D array 
array = geek.arange(8).reshape(2, 2, 2) 
print("\nOriginal array reshaped to 3D : \n", array)