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(np.ravel(a))


    

    




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

In [4]:

    

print(type(np.ravel(a)))


    

    




<class 'numpy.ndarray'>

In [5]:

    

print(np.ravel([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]]))


    

    




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

In [6]:

    

print(type(np.ravel([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]])))


    

    




<class 'numpy.ndarray'>

In [7]:

    

print(np.ravel([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9]]))


    

    




[list([0, 1, 2, 3]) list([4, 5, 6, 7]) list([8, 9])]

In [8]:

    

print(type(np.ravel([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9]])))


    

    




<class 'numpy.ndarray'>

In [9]:

    

print(a.ravel())


    

    




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

In [10]:

    

print(a.flatten())


    

    




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

In [11]:

    

print(a.reshape(-1))


    

    




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

In [12]:

    

print(np.reshape(a, -1))


    

    




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

In [13]:

    

print(np.reshape([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]], -1))


    

    




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

In [14]:

    

print(np.reshape([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9]], -1))


    

    




[list([0, 1, 2, 3]) list([4, 5, 6, 7]) list([8, 9])]

In [15]:

    

print(np.shares_memory(a, a.ravel()))


    

    




True

In [16]:

    

print(np.shares_memory(a, np.ravel(a)))


    

    




True

In [17]:

    

print(np.shares_memory(a, a.flatten()))


    

    




False

In [18]:

    

print(np.shares_memory(a, a.reshape(-1)))


    

    




True

In [19]:

    

print(np.shares_memory(a, np.reshape(a, -1)))


    

    




True

In [20]:

    

a_ravel = a.ravel()
print(a_ravel)


    

    




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

In [21]:

    

a_ravel[0] = 100
print(a_ravel)


    

    




[100   1   2   3   4   5   6   7   8   9  10  11]

In [22]:

    

print(a)


    

    




[[100   1   2   3]
 [  4   5   6   7]
 [  8   9  10  11]]

In [23]:

    

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


    

    




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

In [24]:

    

print(a[:, ::3])


    

    




[[ 0  3]
 [ 4  7]
 [ 8 11]]

In [25]:

    

print(np.shares_memory(a[:, ::3], np.ravel(a[:, ::3])))


    

    




False

In [26]:

    

print(np.shares_memory(a[:, ::3], np.reshape(a[:, ::3], -1)))


    

    




False

In [27]:

    

print(a[:, ::2])


    

    




[[ 0  2]
 [ 4  6]
 [ 8 10]]

In [28]:

    

print(np.shares_memory(a[:, ::2], np.ravel(a[:, ::2])))


    

    




False

In [29]:

    

print(np.shares_memory(a[:, ::2], np.reshape(a[:, ::2], -1)))


    

    




True

In [30]:

    

a_3d = np.arange(24).reshape(2, 3, 4)
print(a_3d)


    

    




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

 [[12 13 14 15]
  [16 17 18 19]
  [20 21 22 23]]]

In [31]:

    

print(a_3d.ravel())


    

    




[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23]

In [32]:

    

print(a_3d.ravel('F'))


    

    




[ 0 12  4 16  8 20  1 13  5 17  9 21  2 14  6 18 10 22  3 15  7 19 11 23]