numpy.frombuffer() function – Python Last Updated : 18 Aug, 2020 Comments Improve Suggest changes Like Article Like Report 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] Comment More infoAdvertise with us Next Article numpy.fromiter() function â Python S sanjoy_62 Follow Improve Article Tags : Python Python-numpy Practice Tags : python Similar Reads numpy.fromiter() function – Python NumPy's fromiter() function is a handy tool for creating a NumPy array from an iterable object. This iterable can be any Python object that provides elements one at a time. The function is especially useful when you need to convert data from a custom data source, like a file or generator, into a Num 2 min read numpy.fromstring() function – Python numpy.fromstring() function create a new one-dimensional array initialized from text data in a string. Syntax : numpy.fromstring(string, dtype = float, count = -1, sep = ' ') Parameters : string : [str] A string that contained the data. dtype : [data-type, optional] Data-type of the array. Default d 1 min read Python PIL | Image.frombuffer() method PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. The Image module provides a class with the same name which is used to represent a PIL image. The module also provides a number of factory functions, including functions to load images from files, 2 min read Python PIL | Image.frombuffer() method PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. The Image module provides a class with the same name which is used to represent a PIL image. The module also provides a number of factory functions, including functions to load images from files, 2 min read bytearray() function - Python The bytearray() function in Python creates a mutable sequence of bytes, which is essentially an array of integers in the range 0 to 255 (representing byte values). Unlike the immutable bytes type, bytearray allows us to modify its contents after creation, making it useful for tasks like binary data 5 min read bytearray() function - Python The bytearray() function in Python creates a mutable sequence of bytes, which is essentially an array of integers in the range 0 to 255 (representing byte values). Unlike the immutable bytes type, bytearray allows us to modify its contents after creation, making it useful for tasks like binary data 5 min read Like