numpy.mintypecode() function – Python

numpy.mintypecode() function return the character for the minimum-size type to which given types can be safely cast.

Syntax : numpy.mintypecode(typechars, typeset = ‘GDFgdf’, default = ‘d’)

Parameters :
typechars : [list of str or array_like] If a list of strings, each string should represent a dtype. If array_like, the character representation of the array dtype is used.
typeset : [str or list of str, optional] The set of characters that the returned character is chosen from. The default set is ‘GDFgdf’.
default : [str, optional] The default character, this is returned if none of the characters in typechars matches a character in typeset.
Return : [str] The character representing the minimum-size type that was found.

Code #1 :

# Python program explaining
# numpy.mintypecode() function

# importing numpy as geek
import numpy as geek

gfg = geek.mintypecode(['d', 'f', 'S'])

print (gfg)

Output :

d

Code #2 :

# Python program explaining
# numpy.mintypecode() function

# importing numpy as geek
import numpy as geek

x = geek.array([1.1, 2-1.j])

gfg = geek.mintypecode(x)

print (gfg)

Output :

D