numpy.result_type

numpy.result_type(*arrays_and_dtypes)

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

Parameters:

arrays_and_dtypeslist of arrays and dtypes

The operands of some operation whose result type is needed.

Returns:

outdtype

The result type.

See also

dtype, promote_types, min_scalar_type, can_cast

Examples

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>>> 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')

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