pandas.Series.sparse.from_coo#

classmethodSeries.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 index consists of only thecoords of the non-null entries of the original coo_matrix.If True, the index consists of the full sorted(row, col) coordinates of the coo_matrix.

Returns:

sSeries

A Series with sparse values.

Examples

>>>fromscipyimportsparse

>>>A=sparse.coo_matrix(...([3.0,1.0,2.0],([1,0,0],[0,2,3])),shape=(3,4)...)>>>A<COOrdinate sparse matrix of dtype 'float64'    with 3 stored elements and shape (3, 4)>

>>>A.todense()matrix([[0., 0., 1., 2.],[3., 0., 0., 0.],[0., 0., 0., 0.]])

>>>ss=pd.Series.sparse.from_coo(A)>>>ss0  2    1.0   3    2.01  0    3.0dtype: Sparse[float64, nan]