SparseSeries.from_coo()

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

Create a SparseSeries from a scipy.sparse.coo_matrix.

New in version 0.16.0.

Parameters:

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

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 = 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)

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.SparseSeries.from_coo.html

doc_Pandas

2025-01-10 15:47:30

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