In [1]:

    

import numpy as np


    

In [2]:

    

a = np.arange(12).reshape(3, 4)
print(a)


    

    




[[ 0  1  2  3]
 [ 4  5  6  7]
 [ 8  9 10 11]]

In [3]:

    

print(a.ravel())


    

    




[ 0  1  2  3  4  5  6  7  8  9 10 11]

In [4]:

    

print(a.ravel('F'))


    

    




[ 0  4  8  1  5  9  2  6 10  3  7 11]

In [5]:

    

print(np.ravel(a, 'F'))


    

    




[ 0  4  8  1  5  9  2  6 10  3  7 11]

In [6]:

    

print(a.flatten('F'))


    

    




[ 0  4  8  1  5  9  2  6 10  3  7 11]

In [7]:

    

print(a.reshape(-1, order='F'))


    

    




[ 0  4  8  1  5  9  2  6 10  3  7 11]

In [8]:

    

print(np.reshape(a, -1, order='F'))


    

    




[ 0  4  8  1  5  9  2  6 10  3  7 11]

In [9]:

    

np.info(a)


    

    




class:  ndarray
shape:  (3, 4)
strides:  (32, 8)
itemsize:  8
aligned:  True
contiguous:  True
fortran:  False
data pointer: 0x7fe081640f90
byteorder:  little
byteswap:  False
type: int64

In [10]:

    

print(a.ravel('C'))


    

    




[ 0  1  2  3  4  5  6  7  8  9 10 11]

In [11]:

    

print(a.ravel('F'))


    

    




[ 0  4  8  1  5  9  2  6 10  3  7 11]

In [12]:

    

print(a.ravel('A'))


    

    




[ 0  1  2  3  4  5  6  7  8  9 10 11]

In [13]:

    

print(a.ravel('K'))


    

    




[ 0  1  2  3  4  5  6  7  8  9 10 11]

In [14]:

    

print(a.T)


    

    




[[ 0  4  8]
 [ 1  5  9]
 [ 2  6 10]
 [ 3  7 11]]

In [15]:

    

np.info(a.T)


    

    




class:  ndarray
shape:  (4, 3)
strides:  (8, 32)
itemsize:  8
aligned:  True
contiguous:  False
fortran:  True
data pointer: 0x7fe081640f90
byteorder:  little
byteswap:  False
type: int64

In [16]:

    

print(a.T.ravel('C'))


    

    




[ 0  4  8  1  5  9  2  6 10  3  7 11]

In [17]:

    

print(a.T.ravel('F'))


    

    




[ 0  1  2  3  4  5  6  7  8  9 10 11]

In [18]:

    

print(a.T.ravel('A'))


    

    




[ 0  1  2  3  4  5  6  7  8  9 10 11]

In [19]:

    

print(a.T.ravel('K'))


    

    




[ 0  1  2  3  4  5  6  7  8  9 10 11]

In [20]:

    

print(a.T[::-1])


    

    




[[ 3  7 11]
 [ 2  6 10]
 [ 1  5  9]
 [ 0  4  8]]

In [21]:

    

np.info(a.T[::-1])


    

    




class:  ndarray
shape:  (4, 3)
strides:  (-8, 32)
itemsize:  8
aligned:  True
contiguous:  False
fortran:  False
data pointer: 0x7fe081640fa8
byteorder:  little
byteswap:  False
type: int64

In [22]:

    

print(a.T[::-1].ravel('C'))


    

    




[ 3  7 11  2  6 10  1  5  9  0  4  8]

In [23]:

    

print(a.T[::-1].ravel('F'))


    

    




[ 3  2  1  0  7  6  5  4 11 10  9  8]

In [24]:

    

print(a.T[::-1].ravel('A'))


    

    




[ 3  7 11  2  6 10  1  5  9  0  4  8]

In [25]:

    

print(a.T[::-1].ravel('K'))


    

    




[ 3  2  1  0  7  6  5  4 11 10  9  8]