In [1]:

    

from scipy.sparse import csr_matrix, csc_matrix, coo_matrix, lil_matrix


    

In [2]:

    

l = [[0, 10, 20],
     [30, 0, 40],
     [0, 0, 50]]


    

In [3]:

    

data = [10, 20, 30, 40, 50]
row = [0, 0, 1, 1, 2]
col = [1, 2, 0, 2, 2]


    

In [4]:

    

csr = csr_matrix(l)
print(csr)


    

    




  (0, 1)	10
  (0, 2)	20
  (1, 0)	30
  (1, 2)	40
  (2, 2)	50

In [5]:

    

print(type(csr))


    

    




<class 'scipy.sparse.csr.csr_matrix'>

In [6]:

    

print(csr.data)


    

    




[10 20 30 40 50]

In [7]:

    

print(csr.indices)


    

    




[1 2 0 2 2]

In [8]:

    

print(csr.indptr)


    

    




[0 2 4 5]

In [9]:

    

csc = csc_matrix(l)
print(csc)


    

    




  (1, 0)	30
  (0, 1)	10
  (0, 2)	20
  (1, 2)	40
  (2, 2)	50

In [10]:

    

print(type(csc))


    

    




<class 'scipy.sparse.csc.csc_matrix'>

In [11]:

    

print(csc.data)


    

    




[30 10 20 40 50]

In [12]:

    

print(csc.indices)


    

    




[1 0 0 1 2]

In [13]:

    

print(csc.indptr)


    

    




[0 1 2 5]

In [14]:

    

coo = coo_matrix(l)
print(coo)


    

    




  (0, 1)	10
  (0, 2)	20
  (1, 0)	30
  (1, 2)	40
  (2, 2)	50

In [15]:

    

print(type(coo))


    

    




<class 'scipy.sparse.coo.coo_matrix'>

In [16]:

    

print(coo.data)


    

    




[10 20 30 40 50]

In [17]:

    

print(coo.row)


    

    




[0 0 1 1 2]

In [18]:

    

print(coo.col)


    

    




[1 2 0 2 2]

In [19]:

    

lil = lil_matrix(l)
print(lil)


    

    




  (0, 1)	10
  (0, 2)	20
  (1, 0)	30
  (1, 2)	40
  (2, 2)	50

In [20]:

    

print(type(lil))


    

    




<class 'scipy.sparse.lil.lil_matrix'>

In [21]:

    

print(lil.data)


    

    




[list([10, 20]) list([30, 40]) list([50])]

In [22]:

    

print(lil.rows)


    

    




[list([1, 2]) list([0, 2]) list([2])]