pandas.SparseSeries.from_coo

classmethod SparseSeries.from_coo(A, dense_index=False) [source]

Create a SparseSeries from a scipy.sparse.coo_matrix.

Parameters:	A : scipy.sparse.coo_matrix dense_index : bool, default False If False (default), the SparseSeries index consists of only the coords of the non-null entries of the original coo_matrix. If True, the SparseSeries index consists of the full sorted (row, col) coordinates of the coo_matrix.
Returns:	s : SparseSeries

Examples

>>> from scipy import sparse
>>> A = sparse.coo_matrix(([3.0, 1.0, 2.0], ([1, 0, 0], [0, 2, 3])),
                       shape=(3, 4))
>>> A
<3x4 sparse matrix of type '<class 'numpy.float64'>'
        with 3 stored elements in COOrdinate format>
>>> A.todense()
matrix([[ 0.,  0.,  1.,  2.],
        [ 3.,  0.,  0.,  0.],
        [ 0.,  0.,  0.,  0.]])
>>> ss = pd.SparseSeries.from_coo(A)
>>> ss
0  2    1
   3    2
1  0    3
dtype: float64
BlockIndex
Block locations: array([0], dtype=int32)
Block lengths: array([3], dtype=int32)