scipy.sparse.sparsetoolsΒΆ
sparsetools - a collection of routines for sparse matrix operations
Functions
| bsr_diagonal(n_brow, n_bcol, R, C, Ap, Aj, ...) | |
| bsr_eldiv_bsr(n_row, n_col, R, C, Ap, Aj, ...) | |
| bsr_elmul_bsr(n_row, n_col, R, C, Ap, Aj, ...) | |
| bsr_matmat_pass2(n_brow, n_bcol, R, C, N, ...) | |
| bsr_matvec(n_brow, n_bcol, R, C, Ap, Aj, Ax, ...) | |
| bsr_matvecs(n_brow, n_bcol, n_vecs, R, C, ...) | |
| bsr_minus_bsr(n_row, n_col, R, C, Ap, Aj, ...) | |
| bsr_plus_bsr(n_row, n_col, R, C, Ap, Aj, Ax, ...) | |
| bsr_scale_columns(n_brow, n_bcol, R, C, Ap, ...) | |
| bsr_scale_rows(n_brow, n_bcol, R, C, Ap, Aj, ...) | |
| bsr_sort_indices(n_brow, n_bcol, R, C, Ap, ...) | |
| bsr_transpose(n_brow, n_bcol, R, C, Ap, Aj, ...) | |
| coo_count_diagonals(*args) | coo_count_diagonals(int nnz, int Ai, int Aj) -> int |
| coo_matvec(nnz, Ai, Aj, Ax, Xx, nnz, Ai, Aj, ...) | |
| coo_tocsc(n_row, n_col, nnz, Ai, Aj, Ax, Bp, ...) | |
| coo_tocsr(n_row, n_col, nnz, Ai, Aj, Ax, Bp, ...) | |
| coo_todense(n_row, n_col, nnz, Ai, Aj, Ax, ...) | |
| cs_graph_components(*args) | cs_graph_components(int n_nod, int Ap, int Aj, int flag) -> int |
| csc_diagonal(n_row, n_col, Ap, Aj, Ax, ...) | |
| csc_eldiv_csc(n_row, n_col, Ap, Ai, Ax, Bp, ...) | |
| csc_elmul_csc(n_row, n_col, Ap, Ai, Ax, Bp, ...) | |
| csc_matmat_pass1(n_row, n_col, Ap, Ai, Bp, ...) | |
| csc_matmat_pass2(n_row, n_col, Ap, Ai, Ax, ...) | |
| csc_matvec(n_row, n_col, Ap, Ai, Ax, Xx, ...) | |
| csc_matvecs(n_row, n_col, n_vecs, Ap, Ai, ...) | |
| csc_minus_csc(n_row, n_col, Ap, Ai, Ax, Bp, ...) | |
| csc_plus_csc(n_row, n_col, Ap, Ai, Ax, Bp, ...) | |
| csc_tocsr(n_row, n_col, Ap, Ai, Ax, Bp, Bj, ...) | |
| csr_count_blocks(*args) | csr_count_blocks(int n_row, int n_col, int R, int C, int Ap, int Aj) -> int |
| csr_diagonal(n_row, n_col, Ap, Aj, Ax, ...) | |
| csr_eldiv_csr(n_row, n_col, Ap, Aj, Ax, Bp, ...) | |
| csr_eliminate_zeros(n_row, n_col, Ap, Aj, ...) | |
| csr_elmul_csr(n_row, n_col, Ap, Aj, Ax, Bp, ...) | |
| csr_has_sorted_indices(*args) | csr_has_sorted_indices(int n_row, int Ap, int Aj) -> bool |
| csr_matmat_pass1(n_row, n_col, Ap, Aj, Bp, ...) | |
| csr_matmat_pass2(n_row, n_col, Ap, Aj, Ax, ...) | |
| csr_matvec(n_row, n_col, Ap, Aj, Ax, Xx, ...) | |
| csr_matvecs(n_row, n_col, n_vecs, Ap, Aj, ...) | |
| csr_minus_csr(n_row, n_col, Ap, Aj, Ax, Bp, ...) | |
| csr_plus_csr(n_row, n_col, Ap, Aj, Ax, Bp, ...) | |
| csr_sample_values(n_row, n_col, Ap, Aj, Ax, ...) | |
| csr_scale_columns(n_row, n_col, Ap, Aj, Ax, ...) | |
| csr_scale_rows(n_row, n_col, Ap, Aj, Ax, ...) | |
| csr_sort_indices(n_row, Ap, Aj, n_row, Ap, ...) | |
| csr_sum_duplicates(n_row, n_col, Ap, Aj, ...) | |
| csr_tobsr(n_row, n_col, R, C, Ap, Aj, Ax, ...) | |
| csr_tocsc(n_row, n_col, Ap, Aj, Ax, Bp, Bi, ...) | |
| dia_matvec(n_row, n_col, n_diags, L, ...) | |
| expandptr(n_row, Ap, Bi) | |
| get_csr_submatrix(n_row, n_col, Ap, Aj, Ax, ...) |
