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numpy.ldexp() in Python

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In Python, numpy.ldexp(arr1, arr2[, out]) function returns arr1 * (2**arr2), element-wise. This is also called as inverse of numpy.frexp() function. 

Syntax: numpy.ldexp()
Parameters: 
arr1: [array_like] Array of multipliers. 
arr2: [array_like, int] Array of twos exponents. 
out: [ndarray, optional] Output array for the result.
Returns: [ndarray, scalar] Return the result of arr1 * (2**arr2). This is a scalar if both arr1 and arr2 are scalars. 
 

Code #1:  

Python3




# Python program explaining
# numpy.ldexp() method
 
# importing numpy 
import numpy as geek
 
# ldexp() Function on + ve nd -ve Numbers
print(geek.ldexp(6, geek.arange(4)))
print(geek.ldexp(-8, geek.arange(4)))
 
# ldexp() Function on fractional Number
print(geek.ldexp(5.2, geek.arange(3)))
print(geek.ldexp(-3.2, geek.arange(3)))


Output: 

[  6.  12.  24.  48.]
[ -8. -16. -32. -64.]
[  5.2  10.4  20.8]
[ -3.2  -6.4 -12.8]

 

Code #2: Complex data-types are not supported, they will raise a TypeError.  

Python3




# Python program explaining
# numpy.ldexp() method
 
# importing numpy
import numpy as geek
 
# ldexp() Function on complex dtypes
print(geek.ldexp(-5 + 9J, geek.arange(4)))


Output: 

 TypeError: ufunc 'ldexp' not supported for the input types

 


Last Updated : 22 Jul, 2021
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