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