vstack(blocks, format=None, dtype=None)
sequence of sparse matrices with compatible shapes
sparse format of the result (e.g., "csr") by default an appropriate sparse matrix format is returned. This choice is subject to change.
The data-type of the output matrix. If not given, the dtype is determined from that of :None:None:`blocks`
.
Stack sparse matrices vertically (row wise)
hstack
stack sparse matrices horizontally (column wise)
>>> from scipy.sparse import coo_matrix, vstackSee :
... A = coo_matrix([[1, 2], [3, 4]])
... B = coo_matrix([[5, 6]])
... vstack([A, B]).toarray() array([[1, 2], [3, 4], [5, 6]])
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.sparse._construct.hstack
scipy.sparse._construct.vstack
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