分母中的元素可能为零时的高效逐元素矩阵除法 [英] Efficient element-wise matrix division when elements in denominator may be zero

问题描述

我正在使用numpy使用Python 2.7.6进行编程.我在两个Numpy矩阵V/np.dot(W,H)之间进行了这种划分.有时会发生分母具有等于0的某些单元格值的情况，因此出现运行时错误.我想以有效的方式实施安全划分.我该如何编写执行矩阵除法的代码，并针对分母等于0的元素在输出Matrix中放入0?

I'm programming with Python 2.7.6 using numpy. I have this division between two numpy matrixes V/np.dot(W,H). Sometimes happens that the denominator has some cell values equal to 0, so i get a Runtime error. I would like to implement a safe division in a efficient way. How can i write a code that performs the Matrix division and for the elements where the denominator is equal to 0 puts 0 in the output Matrix?

推荐答案

Numpy实际上允许您设置除零错误时要执行的操作-请参见

Numpy actually allows you to set what you'd like to do in the case of a divide by zero error - see seterr. I believe this is a global flag, though - I'm not aware of a more localized solution - if it's an issue I suppose you can just set seterr before and after your safe division.

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