NumPy Data type: typename() function
numpy.typename() function
The typename() function is used to get a description for the given data type code.
Version: 1.15.0
Syntax:
numpy.typename(char)
Parameter:
Name | Description | Required / Optional |
---|---|---|
char : str | Data type code. | Required |
Return value:
out : str - Description of the input data type code.
Example: numpy.typename() function
>>> import numpy as np
>>> typechars = ['S1', '?', 'B', 'D', 'G', 'F', 'I', 'H', 'L', 'O', 'Q',
'S', 'U', 'V', 'b', 'd', 'g', 'f', 'i', 'h', 'l', 'q']
>>> for typechar in typechars:
print(typechar, ' : ', np.typename(typechar))
S1 : character
? : bool
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
O : object
Q : unsigned long long integer
S : string
U : unicode
V : void
b : signed char
d : double precision
g : long precision
f : single precision
i : integer
h : short
l : long integer
q : long long integer
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