In [5]:

    

from scipy.sparse import coo_matrix, hstack


    

In [7]:

    

A = coo_matrix([[1, 2], [3, 4]])


    

In [8]:

    

A


    

    
Out[8]:





<2x2 sparse matrix of type '<class 'numpy.int64'>'
	with 4 stored elements in COOrdinate format>

In [9]:

    

A.toarray()


    

    
Out[9]:





array([[1, 2],
       [3, 4]])

In [13]:

    

B = coo_matrix([[5, 6, 7], [8, 9, 10]])


    

In [14]:

    

C = hstack([A, B])


    

In [15]:

    

C


    

    
Out[15]:





<2x5 sparse matrix of type '<class 'numpy.int64'>'
	with 10 stored elements in COOrdinate format>

In [16]:

    

C.toarray()


    

    
Out[16]:





array([[ 1,  2,  5,  6,  7],
       [ 3,  4,  8,  9, 10]], dtype=int64)

In [ ]: