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 :
# 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 :
# 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]]]
