Python可以执行向量化操作吗? [英] Can Python perform vectorized operations?

问题描述

我想在Python中实现以下Matlab代码:

I want to implement the following Matlab code in Python:

x=1:100;
y=20*log10(x);

我尝试使用Numpy来做到这一点:

I tried using Numpy to do this:

y = numpy.zeros(x.shape)
for i in range(len(x)):
    y[i] = 20*math.log10(x[i])

但这使用了for循环；无论如何，像Matlab一样进行矢量化运算?我知道对于一些简单的数学运算(例如除法和乘法)，这是可能的.但是其他更复杂的运算(如对数)在这里呢?

But this uses a for loop; is there anyway to do a vectorized operation like in Matlab? I know for some simple math such as division and multiplication, it's possible. But what about other more sophisticated operations like logarithm here?

推荐答案

y = numpy.log10(numpy.arange(1, 101)) * 20

---

In [30]: numpy.arange(1, 10)
Out[30]: array([1, 2, 3, 4, 5, 6, 7, 8, 9])

In [31]: numpy.log10(numpy.arange(1, 10))
Out[31]:
array([ 0.        ,  0.30103   ,  0.47712125,  0.60205999,  0.69897   ,
        0.77815125,  0.84509804,  0.90308999,  0.95424251])

In [32]: numpy.log10(numpy.arange(1, 10)) * 20
Out[32]:
array([  0.        ,   6.02059991,   9.54242509,  12.04119983,
        13.97940009,  15.56302501,  16.9019608 ,  18.06179974,  19.08485019])

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