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Module « numpy »

Fonction eye - module numpy

Signature de la fonction eye

def eye(N, M=None, k=0, dtype=<class 'float'>, order='C', *, device=None, like=None) 

Description

help(numpy.eye)

Return a 2-D array with ones on the diagonal and zeros elsewhere.

Parameters
----------
N : int
  Number of rows in the output.
M : int, optional
  Number of columns in the output. If None, defaults to `N`.
k : int, optional
  Index of the diagonal: 0 (the default) refers to the main diagonal,
  a positive value refers to an upper diagonal, and a negative value
  to a lower diagonal.
dtype : data-type, optional
  Data-type of the returned array.
order : {'C', 'F'}, optional
    Whether the output should be stored in row-major (C-style) or
    column-major (Fortran-style) order in memory.
device : str, optional
    The device on which to place the created array. Default: None.
    For Array-API interoperability only, so must be ``"cpu"`` if passed.

    .. versionadded:: 2.0.0
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.

    .. versionadded:: 1.20.0

Returns
-------
I : ndarray of shape (N,M)
  An array where all elements are equal to zero, except for the `k`-th
  diagonal, whose values are equal to one.

See Also
--------
identity : (almost) equivalent function
diag : diagonal 2-D array from a 1-D array specified by the user.

Examples
--------
>>> import numpy as np
>>> np.eye(2, dtype=int)
array([[1, 0],
       [0, 1]])
>>> np.eye(3, k=1)
array([[0.,  1.,  0.],
       [0.,  0.,  1.],
       [0.,  0.,  0.]])

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