| block_array(blocks, *, format=None, dtype=None) |
|
| block_diag(mats, format=None, dtype=None) |
|
| bmat(blocks, format=None, dtype=None) |
|
| diags(diagonals, offsets=0, shape=None, format=None, dtype=None) |
|
| diags_array(diagonals, /, *, offsets=0, shape=None, format=None, dtype=None) |
|
| eye(m, n=None, k=0, dtype=<class 'float'>, format=None) |
Sparse matrix with ones on diagonal [extrait de eye.__doc__] |
| eye_array(m, n=None, *, k=0, dtype=<class 'float'>, format=None) |
Identity matrix in sparse array format [extrait de eye_array.__doc__] |
| find(A) |
Return the indices and values of the nonzero elements of a matrix [extrait de find.__doc__] |
| get_index_dtype(arrays=(), maxval=None, check_contents=False) |
|
| hstack(blocks, format=None, dtype=None) |
|
| identity(n, dtype='d', format=None) |
Identity matrix in sparse format [extrait de identity.__doc__] |
| issparse(x) |
Is `x` of a sparse array or sparse matrix type? [extrait de issparse.__doc__] |
| isspmatrix(x) |
Is `x` of a sparse matrix type? [extrait de isspmatrix.__doc__] |
| isspmatrix_bsr(x) |
Is `x` of a bsr_matrix type? [extrait de isspmatrix_bsr.__doc__] |
| isspmatrix_coo(x) |
Is `x` of coo_matrix type? [extrait de isspmatrix_coo.__doc__] |
| isspmatrix_csc(x) |
Is `x` of csc_matrix type? [extrait de isspmatrix_csc.__doc__] |
| isspmatrix_csr(x) |
Is `x` of csr_matrix type? [extrait de isspmatrix_csr.__doc__] |
| isspmatrix_dia(x) |
Is `x` of dia_matrix type? [extrait de isspmatrix_dia.__doc__] |
| isspmatrix_dok(x) |
Is `x` of dok_array type? [extrait de isspmatrix_dok.__doc__] |
| isspmatrix_lil(x) |
Is `x` of lil_matrix type? [extrait de isspmatrix_lil.__doc__] |
| kron(A, B, format=None) |
kronecker product of sparse matrices A and B [extrait de kron.__doc__] |
| kronsum(A, B, format=None) |
kronecker sum of square sparse matrices A and B [extrait de kronsum.__doc__] |
| load_npz(file) |
Load a sparse array/matrix from a file using ``.npz`` format. [extrait de load_npz.__doc__] |
| rand(m, n, density=0.01, format='coo', dtype=None, rng=None) |
|
| random(m, n, density=0.01, format='coo', dtype=None, rng=None, data_rvs=None) |
|
| random_array(shape, *, density=0.01, format='coo', dtype=None, rng=None, data_sampler=None) |
|
| safely_cast_index_arrays(A, idx_dtype=<class 'numpy.int32'>, msg='') |
Safely cast sparse array indices to `idx_dtype`. [extrait de safely_cast_index_arrays.__doc__] |
| save_npz(file, matrix, compressed=True) |
Save a sparse matrix or array to a file using ``.npz`` format. [extrait de save_npz.__doc__] |
| spdiags(data, diags, m=None, n=None, format=None) |
|
| test(label='fast', verbose=1, extra_argv=None, doctests=False, coverage=False, tests=None, parallel=None) |
|
| tril(A, k=0, format=None) |
Return the lower triangular portion of a sparse array or matrix [extrait de tril.__doc__] |
| triu(A, k=0, format=None) |
Return the upper triangular portion of a sparse array or matrix [extrait de triu.__doc__] |
| vstack(blocks, format=None, dtype=None) |
|
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