numpy.find_common_type() function – Python

numpy.find_common_type() function determine common type following standard coercion rules.

Syntax : numpy.find_common_type(array_types, scalar_types)

Parameters :
array_types : [sequence] A list of dtypes or dtype convertible objects representing arrays.
scalar_types : [sequence] A list of dtypes or dtype convertible objects representing scalars.
Return : [dtype] The common data type, which is the maximum of array_types ignoring scalar_types, unless the maximum of scalar_types is of a different kind.

Code #1 :

# Python program explaining
# numpy.find_common_type() function

# importing numpy as geek
import numpy as geek

gfg = geek.find_common_type([geek.float32], [geek.int64, geek.float64])

print (gfg)

Output :

float32

Code #2 :

# Python program explaining
# numpy.find_common_type() function

# importing numpy as geek
import numpy as geek

gfg = geek.find_common_type([geek.float32], [complex])

print (gfg)

Output :

complex128