# scipy.sparse.spmatrix#

class scipy.sparse.spmatrix(maxprint=50)[source]#

This class provides a base class for all sparse matrices. It cannot be instantiated. Most of the work is provided by subclasses.

Attributes:
`nnz`

Number of stored values, including explicit zeros.

`shape`

Get shape of a matrix.

Methods

 `asformat`(format[, copy]) Return this matrix in the passed format. Upcast matrix to a floating point format (if necessary) `astype`(dtype[, casting, copy]) Cast the matrix elements to a specified type. `conj`([copy]) Element-wise complex conjugation. `conjugate`([copy]) Element-wise complex conjugation. Returns a copy of this matrix. Number of non-zero entries, equivalent to `diagonal`([k]) Returns the kth diagonal of the matrix. `dot`(other) Ordinary dot product Return the Hermitian transpose of this matrix. Get shape of a matrix. Returns a copy of column j of the matrix, as an (m x 1) sparse matrix (column vector). Format of a matrix representation as a string. Maximum number of elements to display when printed. `getnnz`([axis]) Number of stored values, including explicit zeros. Returns a copy of row i of the matrix, as a (1 x n) sparse matrix (row vector). `maximum`(other) Element-wise maximum between this and another matrix. `mean`([axis, dtype, out]) Compute the arithmetic mean along the specified axis. `minimum`(other) Element-wise minimum between this and another matrix. `multiply`(other) Point-wise multiplication by another matrix nonzero indices `power`(n[, dtype]) Element-wise power. `reshape`(self, shape[, order, copy]) Gives a new shape to a sparse matrix without changing its data. `resize`(shape) Resize the matrix in-place to dimensions given by `shape` `set_shape`(shape) `setdiag`(values[, k]) Set diagonal or off-diagonal elements of the array. `sum`([axis, dtype, out]) Sum the matrix elements over a given axis. `toarray`([order, out]) Return a dense ndarray representation of this matrix. `tobsr`([blocksize, copy]) Convert this matrix to Block Sparse Row format. `tocoo`([copy]) Convert this matrix to COOrdinate format. `tocsc`([copy]) Convert this matrix to Compressed Sparse Column format. `tocsr`([copy]) Convert this matrix to Compressed Sparse Row format. `todense`([order, out]) Return a dense matrix representation of this matrix. `todia`([copy]) Convert this matrix to sparse DIAgonal format. `todok`([copy]) Convert this matrix to Dictionary Of Keys format. `tolil`([copy]) Convert this matrix to List of Lists format. `trace`([offset]) Returns the sum along diagonals of the sparse matrix. `transpose`([axes, copy]) Reverses the dimensions of the sparse matrix.
 __mul__