例如-1000和-4000,需要得到25%的结果,-1000和4000,需要得到-25%的结果
我是想把两个数都取正,先计算出正数的百分比,然后自定义标签,判断两个数乘积>0则显示当前百分比,小于零则显示当前百分比的负数
求大神教我自定义标签的js怎么写,怎么判断!!!!!!
或者有什么其他方法能实现我想要的功能!
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
编辑于 2018-4-9 21:20
编辑于 2018-4-9 21:20