scipy tutorial - Baustatik-Info-Server

matrix([[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]], dtype=int8)
>>> row = array([0,3,1,0])
>>> col = array([0,3,1,2])
>>> data = array([4,5,7,9])
>>> coo_matrix( (data,(row,col)), shape=(4,4) ).todense()
matrix([[4, 0, 9, 0],
[0, 7, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 5]])
>>> # example with duplicates
>>> row = array([0,0,1,3,1,0,0])
>>> col = array([0,2,1,3,1,0,0])
>>> data = array([1,1,1,1,1,1,1])
>>> coo_matrix( (data,(row,col)), shape=(4,4)).todense()
matrix([[3, 0, 1, 0],
[0, 2, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 1]])
Methods
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)
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
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
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.
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3.14. Sparse matrices (scipy.sparse) 377