numpy.packbits() in Python Last Updated : 20 Feb, 2019 Comments Improve Suggest changes Like Article Like Report 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] An array of integers or booleans whose elements should be packed to bits. axis : [ int, optional] The dimension over which bit-packing is done.If none then packing is done in flattened array. Return : [packed ndarray] Array of type uint8 whose elements represent bits corresponding to the logical (0 or nonzero) value of the input elements. Code #1 : Python3 # Python program explaining # numpy.packbits() function # importing numpy import numpy as geek # creating input array using # array function in_arr = geek.array([[[1, 0, 1], [0, 1, 0]], [[1, 1, 0], [0, 0, 1]]]) print ("Input array : ", in_arr) # packing elements of an array # using packbits() function out_arr = geek.packbits(in_arr) print ("Output packed array : ", out_arr) Output : Input array : [[[1 0 1] [0 1 0]] [[1 1 0] [0 0 1]]] Output packed array : [171 16] Code #2 : Python3 # Python program explaining # numpy.packbits() function # importing numpy import numpy as geek # creating input array using # array function in_arr = geek.array([[[0, 0, 1], [1, 1, 0]], [[1, 0, 0], [1, 1, 1]]]) print ("Input array : ", in_arr) # packing elements of an array # using packbits() function out_arr = geek.packbits(in_arr, axis = 1) print ("Output packed array along axis 1 : ", out_arr) Output : Input array : [[[0 0 1] [1 1 0]] [[1 0 0] [1 1 1]]] Output packed array along axis 1 : [[[ 64 64 128]] [[192 64 64]]] Comment More infoAdvertise with us Next Article numpy.signbit() in Python J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-Binary Operation Practice Tags : python Similar Reads numpy.unpackbits() in Python 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. axi 2 min read numpy.unpackbits() in Python 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. axi 2 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 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 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.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 Like