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:

nint

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

dtypedata-type, optional

Data-type of the output. Defaults to float.

likearray_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.

在 1.20.0 版本加入.

Returns:

outndarray

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

Examples

Try it in your browser!

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

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