def from_coo(cls, A, dense_index=False):
"""
Create a SparseSeries from a scipy.sparse.coo_matrix.
.. versionadded:: 0.16.0
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 = 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)
"""
return _coo_to_sparse_series(A, dense_index=dense_index)
def from_coo(cls, A, dense_index=False):
return _coo_to_sparse_series(A, dense_index=dense_index)
def from_coo(cls, A, dense_index=False):
return _coo_to_sparse_series(A, dense_index=dense_index)
