Python numpy.log10()用法及代码示例

关于：
numpy.log10(arr，out =无，*，其中= True，强制转换='same_kind'，order ='K'，dtype = None，ufunc'log10')：此数学函数可帮助用户计算x的10进制对数，其中x属于所有输入数组元素。

参数：

array    : [array_like]Input array or object.
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 Base-10 logarithmic value of x; 
where x belongs to all elements of input array. 

代码1：工作

# Python program explaining 
# log10() function 
  
import numpy as np 
  
in_array = [1, 3, 5, 10**8] 
print ("Input array : ", in_array) 
  
out_array = np.log10(in_array) 
print ("Output array : ", out_array) 
  
  
print("\nnp.log10(4**4) : ", np.log10(100**4)) 
print("np.log10(2**8) : ", np.log10(10**8))

输出：

Input array :  [1, 3, 5, 100000000]
Output array :  [ 0.          0.47712125  0.69897     8.        ]

np.log10(4**4) :  8.0
np.log10(2**8) :  8.0

代码2：图形表示

# Python program showing 
# Graphical representation of  
# log10() function 
  
import numpy as np 
import matplotlib.pyplot as plt 
  
in_array = [1, 2, 3, 4, 5] 
out_array = np.log10(in_array) 
  
print ("out_array : ", out_array) 
  
plt.plot(in_array, in_array, color = 'blue', marker = "*") 
  
# red for numpy.log10() 
plt.plot(out_array, in_array, color = 'red', marker = "o") 
plt.title("numpy.log10()") 
plt.xlabel("out_array") 
plt.ylabel("in_array") 
plt.show()  

输出：

out_array :  [ 0.          0.30103     0.47712125  0.60205999  0.69897   ]

参考文献：
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.log10.html#numpy.log10
。