numpy.identity#
- numpy.identity(n, dtype=None, *, like=None)[source]#
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.New in version 1.20.0.
- Returns:
- outndarray
n x n array with its main diagonal set to one, and all other elements 0.
Examples
>>> np.identity(3) array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]])