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 :
# 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]
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Code #2 :
# 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]]
