numpy.exp2() in Python

numpy.exp2(array, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None) :
This mathematical function helps user to calculate 2**x for all x being the array elements.

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 i.e. array elements

Code 1 : Working

 # Python program explaining # exp2() function import numpy as np    in_array = [1, 3, 5, 4] print ("Input array : \n", in_array)    exp2_values = np.exp2(in_array) print ("\n2**x values : \n", exp2_values)

Output :

Input array :
[1, 3, 5, 4]

2**x values :
[  2.   8.  32.  16.]

Code 2 : Graphical representation

 # Python program showing # Graphical representation of  # exp2() function 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()

Output :
out_array : [ 2. 4. 8. 16. 32. 64.] My Personal Notes arrow_drop_up Aspire to Inspire before I expire

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