numpy.mintypecode() function – Python (original) (raw)

Last Updated : 18 Jun, 2020

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 :

import numpy as geek

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

print (gfg)

Output :

d

Code #2 :

import numpy as geek

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

gfg = geek.mintypecode(x)

print (gfg)

Output :

D

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