eye(m, n=None, k=0, dtype=<class 'float'>, format=None)

Returns a sparse (m x n) matrix where the kth diagonal is all ones and everything else is zeros.

Parameters

m : int

Number of rows in the matrix.

n : int, optional

Number of columns. Default: m.

k : int, optional

Diagonal to place ones on. Default: 0 (main diagonal).

dtype : dtype, optional

Data type of the matrix.

format : str, optional

Sparse format of the result, e.g., format="csr", etc.

Sparse matrix with ones on diagonal

Examples

>>> from scipy import sparse
... sparse.eye(3).toarray()
array([[ 1.,  0.,  0.],
       [ 0.,  1.,  0.],
       [ 0.,  0.,  1.]])

>>> sparse.eye(3, dtype=np.int8)
<3x3 sparse matrix of type '<class 'numpy.int8'>'
    with 3 stored elements (1 diagonals) in DIAgonal format>

See :

Back References

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networkx.convert_matrix.from_scipy_sparse_array networkx.convert_matrix.from_scipy_sparse_matrix scipy.sparse._construct.eye

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GitHub : /scipy/sparse/_construct.py#222
type: <class 'function'>
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