# 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. asfptype() 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. copy() Returns a copy of this matrix. count_nonzero() Number of non-zero entries, equivalent to diagonal([k]) Returns the k-th diagonal of the matrix. dot(other) Ordinary dot product getH() Return the Hermitian transpose of this matrix. get_shape() Get shape of a matrix. getcol(j) Returns a copy of column j of the matrix, as an (m x 1) sparse matrix (column vector). getformat() Format of a matrix representation as a string. getmaxprint() Maximum number of elements to display when printed. getnnz([axis]) Number of stored values, including explicit zeros. getrow(i) 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() 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) See reshape. 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 LInked List format. transpose([axes, copy]) Reverses the dimensions of the sparse matrix.

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