numpy.packbits() in Python
Last Updated : 20 Feb, 2019
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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 :
Code #2 :Input array : [[[1 0 1] [0 1 0]] [[1 1 0] [0 0 1]]] Output packed array : [171 16]
# 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]]]
