def toarray(self, order=None, out=None):
"""See the docstring for `spmatrix.toarray`."""
B = self._process_toarray_args(order, out)
fortran = int(B.flags.f_contiguous)
if not fortran and not B.flags.c_contiguous:
raise ValueError("Output array must be C or F contiguous")
M, N = self.shape
coo_todense(M, N, self.nnz, self.row, self.col, self.data,
B.ravel(order='A'), fortran)
return B
def toarray(self, order=None, out=None):
"""See the docstring for `spmatrix.toarray`."""
B = self._process_toarray_args(order, out)
fortran = int(B.flags.f_contiguous)
if not fortran and not B.flags.c_contiguous:
raise ValueError("Output array must be C or F contiguous")
M,N = self.shape
coo_todense(M, N, self.nnz, self.row, self.col, self.data,
B.ravel('A'), fortran)
return B
def toarray(self):
B = np.zeros(self.shape, dtype=self.dtype)
M,N = self.shape
coo_todense(M, N, self.nnz, self.row, self.col, self.data, B.ravel())
return B
def toarray(self):
B = np.zeros(self.shape, dtype=self.dtype)
M, N = self.shape
coo_todense(M, N, self.nnz, self.row, self.col, self.data, B.ravel())
return B
