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SciPy Reference Guide, Release 0.8.dev todense() todia([copy]) todok() tolil() transpose() asformat(format) Return this matrix in a given sparse format Parameters format : {string, None} Table 3.8 – continued from previous page desired sparse matrix format • None for no format conversion • “csr” for csr_matrix format • “csc” for csc_matrix format • “lil” for lil_matrix format • “dok” for dok_matrix format and so on asfptype() Upcast matrix to a floating point format (if necessary) astype(t) conj() conjugate() copy() diagonal() Returns the main diagonal of the matrix dot(*args, **kwds) dot is deprecated! getH() get_shape() getcol(j) Returns a copy of column j of the matrix, as an (m x 1) sparse matrix (column vector). getdata(*args, **kwds) getdata is deprecated! getformat() 382 Chapter 3. Reference
getmaxprint() getnnz() number of nonzero values explicit zero values are included in this number getrow(i) Returns a copy of row i of the matrix, as a (1 x n) sparse matrix (row vector). listprint(*args, **kwds) listprint is deprecated! Provides a way to print over a single index. matmat(*args, **kwds) matmat is deprecated! matvec(*args, **kwds) matvec is deprecated! SciPy Reference Guide, Release 0.8.dev mean(axis=None) Average the matrix over the given axis. If the axis is None, average over both rows and columns, returning a scalar. multiply(other) Point-wise multiplication by another matrix nonzero() nonzero indices Returns a tuple of arrays (row,col) containing the indices of the non-zero elements of the matrix. reshape(shape) rmatvec(*args, **kwds) rmatvec is deprecated! Multiplies the vector ‘other’ by the sparse matrix, returning a dense vector as a result. If ‘conjugate’ is True: Otherwise: rowcol(*args, **kwds) rowcol is deprecated! • returns A.transpose().conj() * other • returns A.transpose() * other. save(file_name, format=’%d %d %fn’) set_shape(shape) setdiag(values, k=0) Fills the diagonal elements {a_ii} with the values from the given sequence. If k != 0, fills the off-diagonal elements {a_{i,i+k}} instead. 3.14. Sparse matrices (<strong>scipy</strong>.sparse) 383
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