This is documentation for an old release of SciPy (version 0.9.0). Read this page in the documentation of the latest stable release (version 1.15.1).
scipy.sparse.dok_matrix¶
- class scipy.sparse.dok_matrix(arg1, shape=None, dtype=None, copy=False)¶
Dictionary Of Keys based sparse matrix.
This is an efficient structure for constructing sparse matrices incrementally.
- This can be instantiated in several ways:
- dok_matrix(D)
- with a dense matrix, D
- dok_matrix(S)
- with a sparse matrix, S
- dok_matrix((M,N), [dtype])
- create the matrix with initial shape (M,N) dtype is optional, defaulting to dtype=’d’
Notes
Allows for efficient O(1) access of individual elements. Duplicates are not allowed. Can be efficiently converted to a coo_matrix once constructed.
Examples
>>> from scipy.sparse import * >>> from scipy import * >>> S = dok_matrix((5,5), dtype=float32) >>> for i in range(5): >>> for j in range(5): >>> S[i,j] = i+j # Update element
Methods
asformat asfptype astype clear conj conjtransp conjugate copy Generic (shallow and deep) copying operations. diagonal dot fromkeys get getH get_shape getcol getformat getmaxprint getnnz getrow has_key items iteritems iterkeys itervalues keys mean multiply nonzero pop popitem reshape resize set_shape setdefault setdiag split sum take toarray tobsr tocoo tocsc tocsr todense todia todok tolil transpose update values
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