Data type of the array
Shape of the array
Number of dimensions (this is always 2)
Number of nonzero elements
This is an efficient structure for constructing sparse arrays incrementally.
This can be instantiated in several ways:
dok_array(D)
with a dense array, D
dok_array(S)
with a sparse array, S
dok_array((M,N), [dtype])
create the array with initial shape (M,N) dtype is optional, defaulting to dtype='d'
Sparse arrays can be used in arithmetic operations: they support addition, subtraction, multiplication, division, and array power.
Allows for efficient O(1) access of individual elements. Duplicates are not allowed. Can be efficiently converted to a coo_array once constructed.
Dictionary Of Keys based sparse array.
>>> import numpy as npSee :
... from scipy.sparse import dok_array
... S = dok_array((5, 5), dtype=np.float32)
... for i in range(5):
... for j in range(5):
... S[i, j] = i + j # Update element
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.sparse._arrays.dok_array
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