python - 为列表中的多个条件选择最佳状态

Question

我在下面有一个列表，其中有不同的状态表示：

list = [[array1,0.1,100,0.04] , [array2,0.4,220,0.02] , [array3,0.2,145,0.3],[array4,0.6,246,0.06] , [array5,0.8,170,0.08] , [array6,0.3,120,0.5],[array7,0.5,190,1.1] , [array8,0.9,286,0.4]]

例如 [array1,0.1,100,0.04] 的状态为 1，基于数字 0.1、100、0.04。现在我有三个基于此的列表：

list1 = [0.1,0.4,0.2,0.6,0.8,0.3,0.5,0.9]

list2 = [100,220,145,246,170,120,190,286]

list3 = [0.04,0.02,0.3,0.06,0.08,0.5,1.1,0.4]

现在每个列表对我来说最好的情况如下：每个列表的零索引是我的程序的最佳情况

list1 = [0.1,0.2,0.3,0.4,0.5,0.6,0.8,0.9]

list2 = [286,246,220,190,170,145,120,100]

list3 = [0.02,0.04,0.06,0.08,0.3,0.4,0.5,1.1]

但问题是每个列表的每个列表都依赖于其他列表，例如，列表 1 中的索引 1、列表 2 中的索引 4 和列表 3 中的索引 2 可能是最好的。如何为这些条件编写最佳模式，以便我可以选择最佳索引？提前感谢您的回复

标签： pythonpython-3.xlistnumpynumpy-ndarray