numpy.typename() function return a description for the given data type code.
Syntax : numpy.typename(char)
Parameters :
char : [str] Data type code.
Return : [str] Description of the input data type code.
Code #1 :
# Python program explaining # numpy.typename() function # importing numpy as geek import numpy as geek typechars = ['?', 'O', 'b', 'd', 'g', 'f', 'i', 'h', 'l', 'q'] for typechar in typechars: print(typechar, ' : ', geek.typename(typechar)) |
Output :
? : bool O : object b : signed char d : double precision g : long precision f : single precision i : integer h : short l : long integer q : long long integer
Code #2 :
# Python program explaining # numpy.typename() function # importing numpy as geek import numpy as geek typechars = ['S1', 'B', 'D', 'G', 'F', 'I', 'H', 'L', 'Q', 'S', 'U', 'V'] for typechar in typechars: print(typechar, ' : ', geek.typename(typechar)) |
Output :
S1 : character B : unsigned char D : complex double precision G : complex long double precision F : complex single precision I : unsigned integer H : unsigned short L : unsigned long integer Q : unsigned long long integer S : string U : unicode V : void
