scipy.sparse.spmatrix

class scipy.sparse.spmatrix(maxprint=50)

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