numpy.take() in Python

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 :

Python3

# 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]

Code #2 :

Python3

# 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]]

numpy.take() in Python

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