numpy.typename() 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 :

# 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

numpy.typename() function – Python

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