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numpy.exp2 () in Python

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Parameters:

array: [array_like] Input array or object whose elements, we need to test.
out: [ndarray, optional] Output array with same dimensions as Input array,
placed with result.
** 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:

 An array with 2 ** x (power of 2) for all x ie array elements 

Code 1: Working

# Python program explaining
 # exp2 () function

import numpy as np

 

in_array = [ 1 , 3 , 5 , 4 ]

print ( "Input array:" , in_array)

 

exp2_values ​​ = np.exp2 (in_array)

print ( "2 ** x values:" , exp2_values)

Output:

 Input array: [1, 3, 5, 4] 2 ** x values: [2. 8. 32. 16.] 

Code 2: Graphic representation

# Show Python program
# Graphical representation
function # exp2 ()

import numpy as np

import matplotlib.pyplot as plt

 

in_array = [ 1 , 2 , 3 , 4 , 5 , 6 ]

out_array = np.exp2 (in_array)

 

print ( "out_array:" , out_array)

 

y = [ 1 , 2 , 3 , 4 , 5 , 6 ]

plt.plot (in_array, y, color  = ’blue’ , marker = "*" )

 
# red for numpy.exp2 ()

plt.plot (out_array, y, color = ’red’ , marker = "o" )

plt.title ( "numpy.exp2 ()" )

plt.xlabel ( "X" )

plt.ylabel ( "Y" )

plt.show () 

Exit:
out_array: [2. 4. 8. 16. 32. 64.]

Links:
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.exp2.html
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