Vous êtes un professionnel et vous avez besoin d'une formation ? Programmation Python
Les fondamentaux Voir le programme détaillé

Module « numpy.matlib »

Fonction astype - module numpy.matlib

Signature de la fonction astype

def astype(x, dtype, /, *, copy=True, device=None) 

Description

help(numpy.matlib.astype)

Copies an array to a specified data type.

This function is an Array API compatible alternative to
`numpy.ndarray.astype`.

Parameters
----------
x : ndarray
    Input NumPy array to cast. ``array_likes`` are explicitly not
    supported here.
dtype : dtype
    Data type of the result.
copy : bool, optional
    Specifies whether to copy an array when the specified dtype matches
    the data type of the input array ``x``. If ``True``, a newly allocated
    array must always be returned. If ``False`` and the specified dtype
    matches the data type of the input array, the input array must be
    returned; otherwise, a newly allocated array must be returned.
    Defaults to ``True``.
device : str, optional
    The device on which to place the returned array. Default: None.
    For Array-API interoperability only, so must be ``"cpu"`` if passed.

    .. versionadded:: 2.1.0

Returns
-------
out : ndarray
    An array having the specified data type.

See Also
--------
ndarray.astype

Examples
--------
>>> import numpy as np
>>> arr = np.array([1, 2, 3]); arr
array([1, 2, 3])
>>> np.astype(arr, np.float64)
array([1., 2., 3.])

Non-copy case:

>>> arr = np.array([1, 2, 3])
>>> arr_noncpy = np.astype(arr, arr.dtype, copy=False)
>>> np.shares_memory(arr, arr_noncpy)
True

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