Last Updated : 29 Nov, 2018
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 elementsCode 1 : Working Python
# 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
# 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.]
References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.exp2.html.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4