bundles / numpy 2.4.3 / numpy / result_type

_ArrayFunctionDispatcher

`numpy:result_type`

Signature

def result_type(*arrays_and_dtypes)

Summary

Returns the type that results from applying the NumPy type promotion rules to the arguments.

Parameters

arrays_and_dtypes : list of arrays and dtypes: The operands of some operation whose result type is needed.

Returns

out : dtype: The result type.

Examples

import numpy as np
np.result_type(3, np.arange(7, dtype='i1'))

✓

dtype('int8')

np.result_type('i4', 'c8')

✓

dtype('complex128')

np.result_type(3.0, -2)

✓

dtype('float64')

See also

can_cast
dtype
min_scalar_type
promote_types

Aliases

numpy.result_type