pandas.Series.sparse.from_coo — pandas 0.24.0rc1 documentation (original) (raw)
classmethod sparse. from_coo(A, dense_index=False)¶
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. |
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| 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)