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bundles / scipy 1.17.1 / scipy / sparse / _dok / dok_matrix

ABCMeta

scipy.sparse._dok:dok_matrix

source: /scipy/sparse/_dok.py :615

Signature

def   dok_matrix ( arg1 ,  shape = None ,  dtype = None ,  copy = False ,  * ,  maxprint = None )

Members

Summary

Dictionary Of Keys based sparse matrix.

Extended Summary

This is an efficient structure for constructing sparse matrices incrementally.

This can be instantiated in several ways:

dok_matrix(D)

where D is a 2-D ndarray

dok_matrix(S)

with another sparse array or matrix S (equivalent to S.todok())

dok_matrix((M,N), [dtype])

create the matrix with initial shape (M,N) dtype is optional, defaulting to dtype='d'

Attributes

dtype : dtype

Data type of the matrix

shape : 2-tuple

Shape of the matrix

ndim : int

Number of dimensions (this is always 2)

nnz

Number of nonzero elements

size
T

Notes

Sparse matrices can be used in arithmetic operations: they support addition, subtraction, multiplication, division, and matrix power.

  • Allows for efficient O(1) access of individual elements.

  • Duplicates are not allowed.

  • Can be efficiently converted to a coo_matrix once constructed.

Examples

import numpy as np
from scipy.sparse import dok_matrix
S = dok_matrix((5, 5), dtype=np.float32)
for i in range(5):
    for j in range(5):
        S[i, j] = i + j    # Update element
✓

Aliases

  • scipy.sparse.dok_matrix

Referenced by

This package