Return a description for the given data type code in Python

To return a description for the given data type code, use the typename() method in Python NumPy. This method provides human-readable descriptions for NumPy data type codes, making it easier to understand what each code represents.

Syntax

numpy.typename(char)

Parameters

char ? The data type code (single character string) for which you want the description.

Return Value

Returns a string describing the data type corresponding to the given type code.

Example

First, import the required library ?

import numpy as np

# Array of common NumPy data type codes
type_codes = ['S1', '?', 'B', 'D', 'G', 'F', 'I', 'H', 'L', 'O', 'Q', 'S', 'U', 'V', 'b', 'd', 'g', 'f', 'i', 'h', 'l', 'q']

# Get description for each data type code
for code in type_codes:
    print(f"{code} : {np.typename(code)}")

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

Common Data Type Codes

Conclusion

The np.typename() method is useful for understanding NumPy data type codes. It helps in debugging and data type verification by providing clear descriptions for single-character type codes used throughout NumPy.