numpy.unpackbits() in Python Last Updated : 21 Feb, 2019 Comments Improve Suggest changes Like Article Like Report numpy.unpackbits() is another function for doing binary operations in numpy. It is used to unpacks elements of a uint8 array into a binary-valued output array. Syntax : numpy.unpackbits(arr, axis=None) Parameters : arr : [array_like ndarray] An uint8 type array whose elements should be unpacked. axis : The dimension over which unpacking is done.If none then unpacking is done in flattened array. Return : [unpacked ndarray] Array of type uint8 whose elements are binary-valued (0 or 1). Code #1 : Python3 # Python program explaining # numpy.unpackbits() function # importing numpy import numpy as geek # creating input array using # array function in_arr = geek.array([171, 16], dtype = geek.uint8) print ("Input array : ", in_arr) # unpacking elements of an array # using unpackbits() function out_arr = geek.unpackbits(in_arr) print ("Output unpacked array : ", out_arr) Output : Input array : [171 16] Output unpacked array : [1 0 1 0 1 0 1 1 0 0 0 1 0 0 0 0] Code #2 : Python3 # Python program explaining # numpy.unpackbits() function # importing numpy import numpy as geek # creating input array using # array function in_arr = geek.array([[ 64, 128], [ 17, 25]], dtype = geek.uint8) print ("Input array : ", in_arr) # unpacking elements of an array # using unpackbits() function out_arr = geek.unpackbits(in_arr, axis = 0) print ("Output unpacked array along axis 0 : ", out_arr) Output : Input array : [[ 64 128] [ 17 25]] Output unpacked array along axis 0 : [[0 1] [1 0] [0 0] [0 0] [0 0] [0 0] [0 0] [0 0] [0 0] [0 0] [0 0] [1 1] [0 1] [0 0] [0 0] [1 1]] Comment More infoAdvertise with us Next Article Python | Numpy matrix.tobytes() J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-Binary Operation Practice Tags : python Similar Reads numpy.signbit() in Python numpy.signbit(array, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None) : This mathematical function helps user to element - wise check whether the signbit is set or not. Parameters : array : [array_like]Input array or object whose elements, we need to check. out : [ndarray, 2 min read numpy.packbits() in Python numpy.packbits() is another function for doing binary operations in numpy.It is used to packs the elements of a binary-valued array into bits in a uint8 array.The result is padded to full bytes by inserting zero bits at the end. Syntax : numpy.packbits(arr, axis=None) Parameters : arr : [array_like] 2 min read Python | Numpy matrix.tobytes() With the help of Numpy matrix.tobytes() method, we can find the byte code for the matrix by using the matrix.tobytes() method. Syntax : matrix.tobytes() Return : Return byte code for matrix Example #1 : In this example we can see that by using matrix.tobytes() method we are able to find the byte cod 1 min read numpy.load() in Python numpy.load() function return the input array from a disk file with npy extension(.npy). Syntax : numpy.load(file, mmap_mode=None, allow_pickle=True, fix_imports=True, encoding='ASCII') Parameters: file : : file-like object, string, or pathlib.Path.The file to read. File-like objects must support the 2 min read struct.pack() in Python The struct.pack() function in Python converts values like integers and floats into a bytes object based on a specified format. This is useful for storing or transmitting data in binary format.Example:Pythonimport struct # Pack an integer (10) as an unsigned short (2 bytes, big-endian) s = struct.pac 2 min read struct.pack() in Python The struct.pack() function in Python converts values like integers and floats into a bytes object based on a specified format. This is useful for storing or transmitting data in binary format.Example:Pythonimport struct # Pack an integer (10) as an unsigned short (2 bytes, big-endian) s = struct.pac 2 min read Like