numpy.common_type() function – Python

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 :

Python3

# 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 :

Python3

# 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

numpy.common_type() function – Python

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