`numpy._core._multiarray_umath:can_cast`

Signature

built-in can_cast ( from_ , to , casting = safe )

Returns True if cast between data types can occur according to the casting rule.

from_ : dtype, dtype specifier, NumPy scalar, or array

Data type, NumPy scalar, or array to cast from.

to : dtype or dtype specifier

Data type to cast to.

casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional

Controls what kind of data casting may occur.

'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.

Basic examples

import numpy as np
np.can_cast(np.int32, np.int64)
np.can_cast(np.float64, complex)
np.can_cast(complex, float)

np.can_cast('i8', 'f8')
np.can_cast('i8', 'f4')
np.can_cast('i4', 'S4')