Python 矩阵标量乘法
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Matrix scalar multiplication
提问by David542
Is there a more 'mathematical' way to do the following:
是否有更“数学”的方法来执行以下操作:
1.2738 * (list_of_items)
So for what I'm doing is:
所以我正在做的是:
[1.2738 * item for item in list_of_items]
采纳答案by Nitish
The mathematical equivalent of what you're describing is the operation of multiplication by a scalar for a vector. Thus, my suggestion would be to convert your list of elements into a "vector" and then multiply that by the scalar.
您所描述的数学等价物是向量乘以标量的运算。因此,我的建议是将您的元素列表转换为“向量”,然后将其乘以标量。
A standard way of doing that would be using numpy
.
这样做的标准方法是使用numpy
.
Instead of
代替
1.2738 * (list_of_items)
You can use
您可以使用
import numpy
1.2738 * numpy.array(list_of_items)
Sample Output:
示例输出:
In [8]: list_of_items
Out[8]: [1, 2, 4, 5]
In [9]: import numpy
In [10]: 1.2738 * numpy.array(list_of_items)
Out[10]: array([ 1.2738, 2.5476, 5.0952, 6.369 ])
回答by levi
Another approach
另一种方法
map(lambda x:x*1.2738,list_of_items)