关于: 努比。log10(arr,out=None,*,其中=True,casting=’same_kind’,order=’K’,dtype=None,ufunc’log10’): 这个数学函数帮助用户计算 x的10进制对数 其中x属于所有输入数组元素。
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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 ( "np.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 ]
参考资料: https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.log10.html#numpy.log10 .
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