numpy.result_type() function – Python

numpy.result_type() function returns the type that results from applying the NumPy type promotion rules to the arguments.

NumPy type promotion by example :
Suppose calculating 3*arr, where arr is an array of 32-bit floats, intuitively should result in a 32-bit float output. If the 3 is a 32-bit integer, the NumPy rules indicate it can’t convert losslessly into a 32-bit float, so a 64-bit float should be the result type.

Syntax : numpy.result_type(arrays_and_dtypes)

Parameters :
arrays_and_dtypes : [list of arrays and dtypes] The operands of some operation whose result type is needed.
Return : [dtype] Return the result type.

Code #1 :

# Python program explaining
# numpy.result_type() function

# importing numpy as geek
import numpy as geek

gfg = geek.result_type('f4', 'i8')

print (gfg)

Output :

float64

Code #2 :

# Python program explaining
# numpy.result_type() function

# importing numpy as geek
import numpy as geek

gfg = geek.result_type(3, geek.arange(7, dtype = 'i1'))

print (gfg)

Output :

int8