scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
asformat(format) Return this matrix in a given sparse format
asfptype() Upcast matrix to a floating point format (if necessary)
astype(t)
check_format([full_check]) check whether the matrix format is valid
conj()
conjugate()
copy()
diagonal() Returns the main diagonal of the matrix
dot(*args, **kwds) dot is deprecated!
eliminate_zeros() Remove zero entries from the matrix
ensure_sorted_indices([inplace]) Return a copy of this matrix where the column indices are sorted
getH()
get_shape()
getcol(j) Returns a copy of column j of the matrix, as an (m x 1) sparse
getdata(*args, **kwds) getdata is deprecated!
getformat()
getmaxprint()
getnnz()
getrow(i) Returns a copy of row i of the matrix, as a (1 x n) sparse
listprint(*args, **kwds) listprint is deprecated!
matmat(*args, **kwds) matmat is deprecated!
matvec(*args, **kwds) matvec is deprecated!
mean([axis]) Average the matrix over the given axis.
multiply(other) Point-wise multiplication by another matrix
nonzero() nonzero indices
prune() Remove empty space after all non-zero elements.
reshape(shape)
rmatvec(*args, **kwds) rmatvec is deprecated!
rowcol(*args, **kwds) rowcol is deprecated!
save(file_name[, format])
set_shape(shape)
setdiag(values[, k]) Fills the diagonal elements {a_ii} with the values from the given sequence.
sort_indices() Sort the indices of this matrix in place
sorted_indices() Return a copy of this matrix with sorted indices
sum([axis]) Sum the matrix over the given axis.
sum_duplicates() Eliminate duplicate matrix entries by adding them together
toarray()
tobsr([blocksize, copy])
tocoo([copy]) Return a COOrdinate representation of this matrix
tocsc()
tocsr([copy])
todense()
todia()
todok()
tolil()
transpose([copy])
asformat(format)
Return this matrix in a given sparse format
Parameters
format : {string, None}
358 Chapter 3. Reference