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# scipy.sparse.bsr

Compressed Block Sparse Row matrix format

Functions

`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_sort_indices`(n_brow, n_bcol, R, C, Ap, ...) |
`bsr_transpose`(n_brow, n_bcol, R, C, Ap, Aj, ...) |
`csr_matmat_pass1`(n_row, n_col, Ap, Aj, Bp, ...) |
`getdtype`(dtype[, a, default]) | Function used to simplify argument processing.
`isshape`(x) | Is x a valid 2-tuple of dimensions?
`isspmatrix`(x) |
`isspmatrix_bsr`(x) |
`to_native`(A) |
`upcast`(*args) | Returns the nearest supported sparse dtype for the combination of one or more types.
`warn`(message[, category, stacklevel]) | Issue a warning, or maybe ignore it or raise an exception.

Classes

`bsr_matrix`(arg1[, shape, dtype, copy, blocksize]) | Block Sparse Row matrix

### Navigation

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- SciPy v0.9 Reference Guide (DRAFT) »
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