numpy.typename() function – Python
Last Updated :
18 Jun, 2020
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 :
import numpy as geek
typechars = [ '?' , 'O' , 'b' , 'd' , 'g' , 'f' , 'i' , 'h' , 'l' , 'q' ]
for typechar in typechars:
print (typechar, ' : ' , geek.typename(typechar))
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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 :
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
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