dpnp.dpnp_array.dpnp_array.astype
method
- dpnp_array.astype(dtype, order='K', casting='unsafe', subok=True, copy=True, device=None)[source]
Copy the array with data type casting.
Refer to
dpnp.astype
for full documentation.- Parameters:
x1 ({dpnp.ndarray, usm_ndarray}) -- Array data type casting.
dtype (dtype) -- Target data type.
order ({"C", "F", "A", "K"}, optional) -- Row-major (C-style) or column-major (Fortran-style) order. When
order
is 'A', it uses 'F' ifa
is column-major and uses 'C' otherwise. And whenorder
is 'K', it keeps strides as closely as possible.copy ({bool}, optional) -- If it is False and no cast happens, then this method returns the array itself. Otherwise, a copy is returned.
casting ({'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional) --
Controls what kind of data casting may occur. Defaults to
'unsafe'
for backwards compatibility.'no' means the data types should not be cast at all.
'equiv' means only byte-order changes are allowed.
'safe' means only casts which can preserve values are allowed.
'same_kind' means only safe casts or casts within a kind, like float64 to float32, are allowed.
'unsafe' means any data conversions may be done.
copy -- By default,
astype
always returns a newly allocated array. If this is set toFalse
, and the dtype, order, and subok requirements are satisfied, the input array is returned instead of a copy.device ({None, string, SyclDevice, SyclQueue}, optional) -- An array API concept of device where the output array is created. The device can be
None
(the default), an OneAPI filter selector string, an instance ofdpctl.SyclDevice
corresponding to a non-partitioned SYCL device, an instance ofdpctl.SyclQueue
, or a Device object returned bydpnp.dpnp_array.dpnp_array.device
property. Default:None
.
- Returns:
arr_t -- Unless copy is
False
and the other conditions for returning the input array are satisfied, arr_t is a new array of the same shape as the input array, with dtype, order given by dtype, order.- Return type:
dpnp.ndarray
Limitations
Parameter subok is supported with default value. Otherwise
NotImplementedError
exception will be raised.Examples
>>> import dpnp as np >>> x = np.array([1, 2, 2.5]) >>> x array([1. , 2. , 2.5]) >>> x.astype(int) array([1, 2, 2])