scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
Table 3.6 – continued from previous page
iterkeys D.iterkeys() -> an iterator over the keys of D
itervalues D.itervalues() -> an iterator over the values of D
keys D.keys() -> list of D’s keys
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
pop D.pop(k[,d]) -> v, remove specified key and return the corresponding value
popitem D.popitem() -> (k, v), remove and return some (key, value) pair as a
reshape(shape)
resize(shape) Resize the matrix to dimensions given by ‘shape’, removing any
rmatvec(*args, **kwds) rmatvec is deprecated!
rowcol(*args, **kwds) rowcol is deprecated!
save(file_name[, format])
set_shape(shape)
setdefault D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
setdiag(values[, k]) Fills the diagonal elements {a_ii} with the values from the given sequence.
split(cols_or_rows[, columns])
sum([axis]) Sum the matrix over the given axis.
take(cols_or_rows[, columns])
toarray()
tobsr([blocksize])
tocoo() Return a copy of this matrix in COOrdinate format
tocsc() Return a copy of this matrix in Compressed Sparse Column format
tocsr() Return a copy of this matrix in Compressed Sparse Row format
todense()
todia()
todok([copy])
tolil()
transpose() Return the transpose
update D.update(E, **F) -> None. Update D from E and F: for k in E: D[k] = E[k]
values D.values() -> list of D’s values
asformat(format)
Return this matrix in a given sparse format
Parameters
format : {string, None}
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)
372 Chapter 3. Reference