srch

scipy.sparse.diags¶ scipy.sparse.diags(diagonals, offsets, shape=None, format=None, dtype=None) [source] ¶ Construct a sparse matrix from diagonals.

scipy.sparse.diags¶ scipy.sparse.diags (diagonals, offsets=0, shape=None, format=None, dtype=None) [source] ¶ Construct a sparse matrix from diagonals.

scipy.sparse.diags(diagonals, offsets=0, shape=None, format=None, dtype=None) [source] ¶ Construct a sparse matrix from diagonals. Parameters diagonalssequence of array_like Sequence of arrays containing the matrix diagonals, corresponding to offsets. offsetssequence of int or an int, optional Diagonals to set: k = 0 the main diagonal (default)

Oct 24, 2015 · scipy.sparse.diags — SciPy v0.16.1 Reference Guide This is documentation for an old release of SciPy (version 0.16.1). Read this page in the documentation of the latest stable release (version 1.7.1). scipy.sparse.diags ¶ scipy.sparse.diags(diagonals, offsets, shape=None, format=None, dtype=None) [source] ¶ Construct a sparse matrix from diagonals.

python code examples for scipy.sparse.diags. Learn how to use python api scipy.sparse.diags.

scipy.sparse中diags函数的作用（意思）解读)在看GCN代码时，有个处理矩阵的函数diags函数，diagonal是对矩阵进行对角化的意思，再看源码的过程中， ...

scipy.sparse.diags¶ ... Construct a sparse matrix from diagonals. New in version 0.11. ... Sequence of arrays containing the matrix diagonals, corresponding to ...

diags or scipy.sparse.spdiags functions. These functions let you specify the contents of the matrix in terms of its diagonals, as well as which ...

cupyx.scipy.sparse.spmatrix Notes This function differs from spdiags in the way it handles off-diagonals. The result from diags is the sparse equivalent of: cupy.diag(diagonals[0], offsets[0]) + ... + cupy.diag(diagonals[k], offsets[k]) Repeated diagonal offsets are disallowed. cupyx.scipy.sparse.kron cupyx.scipy.sparse.spdiags

scipy.sparse.diags: ValueError: Different number of diagonals and offsets. *. 17 visibility 0 arrow_circle_up 0 arrow_circle_down ...

Construct a sparse matrix from diagonals. ... This function differs from spdiags in the way it handles off-diagonals. ... Repeated diagonal offsets are disallowed.

21.06.2017 · scipy.sparse. diags (diagonals, offsets=0, shape=None, format=None, dtype=None) [source] ¶. Construct a sparse matrix from diagonals. Parameters: diagonals : sequence of array_like. Sequence of arrays containing the matrix diagonals, corresponding to offsets. offsets : sequence of int or an int, optional. Diagonals to set:

cupyx.scipy.sparse.diags¶ · diagonals (sequence of array_like) – Sequence of arrays containing the matrix diagonals, corresponding to offsets . · offsets ( ...

spdiags (data, diags, m, n[, format]) Return a sparse matrix from diagonals. block_diag (mats[, format, dtype]) Build a block diagonal sparse matrix from provided matrices. tril (A[, k, format]) Return the lower triangular portion of a matrix in sparse format. triu (A[, k, format]) Return the upper triangular portion of a matrix in sparse format

scipy.sparse.diags¶ scipy.sparse. diags (diagonals, offsets = 0, shape = None, format = None, dtype = None) [source] ¶ Construct a sparse matrix from diagonals. Parameters diagonals sequence of array_like. Sequence of arrays containing the matrix diagonals, corresponding to offsets.. offsets sequence of int or an int, optional Diagonals to set:

diags treats the input as a list of arrays, and uses them without shifting. It's spdiags that maps the 2d array onto the diagonals with overflow ...

The following are 30 code examples for showing how to use scipy.sparse.diags(). These examples are extracted from open source projects.

scipy.sparse.spdiags(data, diags, m, n, format=None) [source] ¶. Return a sparse matrix from diagonals. Parameters. dataarray_like. matrix diagonals stored row-wise. diagsdiagonals to set. k = 0 the main diagonal. k > 0 the k-th upper diagonal. k < 0 the k-th lower diagonal.

scipy.sparse.block_diag(mats, format=None, dtype=None)[source]¶ Build a block diagonal sparse matrix from provided matrices. Parameters matssequence of matrices Input matrices. formatstr, optional The sparse format of the result (e.g., “csr”). is returned in “coo” format. dtypedtype specifier, optional The data-type of the output matrix.

scipy.sparse.diags¶ scipy.sparse.diags (diagonals, offsets=0, shape=None, format=None, dtype=None) [source] ¶ Construct a sparse matrix from diagonals. Parameters diagonals sequence of array_like. Sequence of arrays containing the matrix diagonals, corresponding to offsets.. offsets sequence of int or an int, optional Diagonals to set:

scipy.sparse.diags(diagonals, offsets=0, shape=None, format=None, dtype=None) [source] ¶ Construct a sparse matrix from diagonals. Parameters diagonalssequence of array_like Sequence of arrays containing the matrix diagonals, corresponding to offsets. offsetssequence of int or an int, optional Diagonals to set: k = 0 the main diagonal (default)