第一次发帖,向各位大佬请教一点问题
现在有一个小问题需要用python解决。主要是说,100个数据,每个都有序号是不断变化的。第一次变化之后先按照从小到大的顺序排好序(用的sort排序),找到其中小于0的数,记录下序号,画出条形图。
接下来数据接着变化,在下一次统计时,重新按照从小到大的顺序排序。但是要把上一次统计时小于0的数据在新的条形图中用红色标记出来。
现在自己做出来的新的条形图(第一次统计)
data:image/png;base64,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
(第二次统计。红色的标记的序号还是第一次的序号,不过由于重新排序,每个序号对应的都是新的数据了,和变化的数据不对应。)
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
想问问各位应该用什么函数或算法,能在重新排序后某一个序号还是对应之前的数据所变化的值。
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