numpy.unpackbits() in Python
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)
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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)
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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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