pandas.Series.sparse.from_coo#
- classmethod Series.sparse.from_coo(A, dense_index=False)[source]#
Create a Series with sparse values from a scipy.sparse.coo_matrix.
- Parameters
- Ascipy.sparse.coo_matrix
- dense_indexbool, 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
- sSeries
A Series with sparse values.
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.Series.sparse.from_coo(A) >>> ss 0 2 1.0 3 2.0 1 0 3.0 dtype: Sparse[float64, nan]