numpy.find_common_type() function - Python

numpy.find_common_type() function - Python

Last Updated : 18 Jun, 2020

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 :

Python3

# 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 :

Python3

# 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

numpy.find_common_type() function - Python

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