numpy.unpackbits() in Python

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 :

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python program explaining
# numpy.unpackbits() function
  
# importing numpy
import numpy as geek
  
# creating input array using 
# array function
in_arr = geek.array([17116], 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)

chevron_right


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 :

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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) 

chevron_right


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]]


My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.