Change the dimension of a NumPy array

# importing numpy
import numpy as np
def main():
    # initialising array
    print('Initialised array')
    gfg = np.array([1, 2, 3, 4])
    print(gfg)
    # checking current shape
    print('current shape of the array')
    print(gfg.shape)
    
    # modifying array according to new dimensions
    print('changing shape to 2,2')
    gfg.shape = (2, 2)
    print(gfg)
if __name__ == "__main__":
    main()

# importing numpy
import numpy as np
def main():
    # initialising array
    gfg = np.arange(1, 10)
    print('initialised array')
    print(gfg)
    
    # reshaping array into a 3x3 with order C
    print('3x3 order C array')
    print(np.reshape(gfg, (3, 3), order='C'))
    # reshaping array into a 3x3 with order F
    print('3x3 order F array')
    print(np.reshape(gfg, (3, 3), order='F'))
    # reshaping array into a 3x3 with order A
    print('3x3 order A array')
    print(np.reshape(gfg, (3, 3), order='A'))
if __name__ == "__main__":
    main()

# importing numpy
import numpy as np
def main():
    # initialise array
    gfg = np.arange(1, 10)
    print('initialised array')
    print(gfg)
    
    # resized array with dimensions in
    # range of original array
    gfg1=np.resize(gfg, (3, 3))
    print('3x3 array')
    print(gfg1)
    
    # resized array with dimensions larger than
    # original array
    gfg2=np.resize(gfg, (4, 4))
    
    # extra spaces will be filled with repeated
    # copies of original array
    print('4x4 array')
    print(gfg2)
    
    # resize array with dimensions larger than 
    # original array
    gfg.resize(5, 5)
    
    # extra spaces will be filled with zeros
    print('5x5 array')
    print(gfg)
if __name__ == "__main__":
    main()