Vous êtes un professionnel et vous avez besoin d'une formation ? Mise en oeuvre d'IHM
avec Qt et PySide6 Voir le programme détaillé

Module « numpy »

Fonction atleast_3d - module numpy

Signature de la fonction atleast_3d

def atleast_3d(*arys) 

Description

help(numpy.atleast_3d)

View inputs as arrays with at least three dimensions.

Parameters
----------
arys1, arys2, ... : array_like
    One or more array-like sequences.  Non-array inputs are converted to
    arrays.  Arrays that already have three or more dimensions are
    preserved.

Returns
-------
res1, res2, ... : ndarray
    An array, or tuple of arrays, each with ``a.ndim >= 3``.  Copies are
    avoided where possible, and views with three or more dimensions are
    returned.  For example, a 1-D array of shape ``(N,)`` becomes a view
    of shape ``(1, N, 1)``, and a 2-D array of shape ``(M, N)`` becomes a
    view of shape ``(M, N, 1)``.

See Also
--------
atleast_1d, atleast_2d

Examples
--------
>>> import numpy as np
>>> np.atleast_3d(3.0)
array([[[3.]]])

>>> x = np.arange(3.0)
>>> np.atleast_3d(x).shape
(1, 3, 1)

>>> x = np.arange(12.0).reshape(4,3)
>>> np.atleast_3d(x).shape
(4, 3, 1)
>>> np.atleast_3d(x).base is x.base  # x is a reshape, so not base itself
True

>>> for arr in np.atleast_3d([1, 2], [[1, 2]], [[[1, 2]]]):
...     print(arr, arr.shape) # doctest: +SKIP
...
[[[1]
  [2]]] (1, 2, 1)
[[[1]
  [2]]] (1, 2, 1)
[[[1 2]]] (1, 1, 2)

Vous êtes un professionnel et vous avez besoin d'une formation ? RAG (Retrieval-Augmented Generation)
et Fine Tuning d'un LLM Voir le programme détaillé