scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
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.
values may have any length. If the diagonal is longer than values, then the remaining diagonal entries will
not be set. If values if longer than the diagonal, then the remaining values are ignored.
sum(axis=None)
Sum the matrix over the given axis. If the axis is None, sum over both rows and columns, returning a
scalar.
toarray()
tobsr(blocksize=None)
tocoo(copy=False)
tocsc()
Return a copy of this matrix in Compressed Sparse Column format
Duplicate entries will be summed together.
tocsr()
Return a copy of this matrix in Compressed Sparse Row format
Duplicate entries will be summed together.
todense()
todia()
todok()
tolil()
transpose(copy=False)
class dia_matrix(arg1, shape=None, dtype=None, copy=False)
Sparse matrix with DIAgonal storage
This can be instantiated in several ways:
dia_matrix(D)
with a dense matrix
dia_matrix(S)
with another sparse matrix S (equivalent to S.todia())
dia_matrix((M, N), [dtype])
to construct an empty matrix with shape (M, N), dtype is optional, defaulting to dtype=’d’.
dia_matrix((data, offsets), shape=(M, N))
where the data[k,:] stores the diagonal entries for diagonal offsets[k] (See example below)
380 Chapter 3. Reference