numpy.identity

numpy.identity(n, dtype=None, *, like=None)

Return the identity array.

The identity array is a square array with ones on the main diagonal.

Parameters:

• n (int) – Number of rows (and columns) in n x n output.

• dtype (data-type, optional) – Data-type of the output. Defaults to float.

• like (array_like, optional) –

  Reference object to allow the creation of arrays which are not

  NumPy arrays. If an array-like passed in as like supports the __array_function__ protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.

  Added in version 1.20.0.

Returns:

out – n x n array with its main diagonal set to one, and all other elements 0.

Return type:

ndarray

Examples

>>> import numpy as np
>>> np.identity(3)
array([[1.,  0.,  0.],
       [0.,  1.,  0.],
       [0.,  0.,  1.]])