scipy.sparse.coo_matrix.tocsr

coo_matrix.tocsr()[source]

Return a copy of this matrix in Compressed Sparse Row format

Duplicate entries will be summed together.

Examples

>>> from numpy import array
>>> from scipy.sparse import coo_matrix
>>> row  = array([0,0,1,3,1,0,0])
>>> col  = array([0,2,1,3,1,0,0])
>>> data = array([1,1,1,1,1,1,1])
>>> A = coo_matrix( (data,(row,col)), shape=(4,4)).tocsr()
>>> A.todense()
matrix([[3, 0, 1, 0],
        [0, 2, 0, 0],
        [0, 0, 0, 0],
        [0, 0, 0, 1]])

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