`numpy:astype`

Signature

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

Copies an array to a specified data type.

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

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

import numpy as np
arr = np.array([1, 2, 3]); arr
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