numpy.unpackbits() in Python (original) (raw)

Last Updated : 21 Feb, 2019

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 :

import numpy as geek

in_arr = geek.array([ 171 , 16 ], dtype = geek.uint8)

print ( "Input array : " , in_arr)

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 :

import numpy as geek

in_arr = geek.array([[ 64 , 128 ], [ 17 , 25 ]], dtype = geek.uint8)

print ( "Input array : " , in_arr)

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]]

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