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Identity matrix in sparse format
Returns an identity matrix with shape (n,n) using a given
sparse format and dtype. This differs from `eye_array` in
that it has a square shape with ones only on the main diagonal.
It is thus the multiplicative identity. `eye_array` allows
rectangular shapes and the diagonal can be offset from the main one.
.. warning::
This function returns a sparse matrix -- not a sparse array.
You are encouraged to use ``eye_array`` to take advantage
of the sparse array functionality.
Parameters
----------
n : int
Shape of the identity matrix.
dtype : dtype, optional
Data type of the matrix
format : str, optional
Sparse format of the result, e.g., format="csr", etc.
Examples
--------
>>> import scipy as sp
>>> sp.sparse.identity(3).toarray()
array([[ 1., 0., 0.],
[ 0., 1., 0.],
[ 0., 0., 1.]])
>>> sp.sparse.identity(3, dtype='int8', format='dia')
<DIAgonal sparse matrix of dtype 'int8'
with 3 stored elements (1 diagonals) and shape (3, 3)>
>>> sp.sparse.eye_array(3, dtype='int8', format='dia')
<DIAgonal sparse array of dtype 'int8'
with 3 stored elements (1 diagonals) and shape (3, 3)>
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