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# scipy.sparse.coo

A sparse matrix in COOrdinate or ‘triplet’ format

Functions

`coo_matvec`(nnz, Ai, Aj, Ax, Xx, nnz, Ai, Aj, ...) |
`coo_tocsr`(n_row, n_col, nnz, Ai, Aj, Ax, Bp, ...) |
`coo_todense`(n_row, n_col, nnz, Ai, Aj, Ax, ...) |
`getdtype`(dtype[, a, default]) | Function used to simplify argument processing.
`isintlike`(x) | Is x appropriate as an index into a sparse matrix? Returns True
`isshape`(x) | Is x a valid 2-tuple of dimensions?
`isspmatrix`(x) |
`isspmatrix_coo`(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

`coo_matrix`(arg1[, shape, dtype, copy]) | A sparse matrix in COOrdinate format.

### Navigation

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- SciPy v0.9 Reference Guide (DRAFT) »
- Sparse matrices (`scipy.sparse`) »