numpy.left_shift() in Python

Syntax : numpy.left_shift(arr1, arr2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, ufunc ‘left_shift’) Parameters : arr1 : array_like of integer type arr2 : array_like of integer type Number of zeros to append to arr1.The value of arr2 should be positive integer. out : [ndarray, optional] A location into which the result is stored.   -> If provided, it must have a shape that the inputs broadcast to.   -> If not provided or None, a freshly-allocated array is returned. **kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function. where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone. Return : array of integer type. Return arr1 with bits shifted arr2 times to the left. This is a scalar if both arr1 and arr2 are scalars.

# Python program explaining
# left_shift() function

import numpy as geek
in_num = 5
bit_shift = 2

print ("Input  number : ", in_num)
print ("Number of bit shift : ", bit_shift ) 
  
out_num = geek.left_shift(in_num, bit_shift) 
print ("After left shifting 2 bit  : ", out_num) 

Input  number :  5
Number of bit shift :  2
After left shifting 2 bit  :  20

# Python program explaining
# left_shift() function

import numpy as geek

in_arr = [2, 8, 15]
bit_shift =[3, 4, 5]
 
print ("Input array : ", in_arr) 
print ("Number of bit shift : ", bit_shift)
  
out_arr = geek.left_shift(in_arr, bit_shift) 
print ("Output array after left shifting: ", out_arr) 

Input array :  [2, 8, 15]
Number of bit shift :  [3, 4, 5]
Output array after left shifting:  [ 16 128 480]

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Article Tags :

• Python
• Python numpy-Binary Operation
• Python-numpy

Practice Tags :

• python