Python numpy.exp()用法及代码示例

numpy.exp(array，out = None，where = True，cast ='same_kind'，order ='K'，dtype = None)：
此数学函数可帮助用户计算输入数组中所有元素的指数。

参数：

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.

返回：

An array with exponential of all elements of input array. 

代码1：工作

# Python program explaining 
# exp() function 
import numpy as np 
  
in_array = [1, 3, 5] 
print ("Input array : ", in_array) 
  
out_array = np.exp(in_array) 
print ("Output array : ", out_array)

输出：

Input array :  [1, 3, 5]
Output array :  [   2.71828183   20.08553692  148.4131591 ]

代码2：图形表示

# Python program showing 
# Graphical representation of  
# exp() function 
import numpy as np 
import matplotlib.pyplot as plt 
  
in_array = [1, 1.2, 1.4, 1.6, 1.8, 2] 
out_array = np.exp(in_array) 
  
y = [1, 1.2, 1.4, 1.6, 1.8, 2] 
plt.plot(in_array, y, color = 'blue', marker = "*") 
  
# red for numpy.exp() 
plt.plot(out_array, y, color = 'red', marker = "o") 
plt.title("numpy.exp()") 
plt.xlabel("X") 
plt.ylabel("Y") 
plt.show()  

输出：

参考文献：
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.exp.html
。