numpy.frombuffer() function – Python

numpy.frombuffer() function interpret a buffer as a 1-dimensional array.

Syntax : numpy.frombuffer(buffer,  dtype = float,  count = -1,  offset = 0)

Parameters :

buffer : [buffer_like] An object that exposes the buffer interface.

dtype : [data-type, optional] Data-type of the returned array, default data-type is float.

count : [int, optional] Number of items to read.

offset : [int, optional] Start reading the buffer from this offset, default is 0.

Return : This function interpret a buffer as a 1-dimensional array.

Code #1 :

Python3

# Python program explaining
# numpy.frombuffer() function

# importing numpy as geek
import numpy as geek

gfg = geek.frombuffer(b'\x01\x02\x03', dtype = geek.uint8)

print (gfg)

Output :

[1 2 3]

Code #2 :

Python3

# Python program explaining
# numpy.frombuffer() function

# importing numpy as geek
import numpy as geek

gfg = geek.frombuffer(b'\x01\x02\x03\x04\x05\x06\x07', dtype = geek.uint8, count = 5)

print (gfg)

Output :

[1 2 3 4 5]