这是样本数据-
Product Type Name Time Value
Product a Medicare CVS 2018-10-05 10
Product a Medicare Cigna 2018-10-05 20
Product a Medicare United 2018-10-05 30
Product a Medicare Humana 2018-10-05 40
Product a Medicare Centene 2018-10-05 50
Product a Comm CVS 2018-10-05 20
Product a Comm Cigna 2018-10-05 30
Product a Comm United 2018-10-05 40
Product a Comm Humana 2018-10-05 50
Product a Comm Centene 2018-10-05 60
Product a Medicare CVS 2019-10-03 30
Product a Medicare Cigna 2019-10-03 20
Product a Medicare United 2019-10-03 10
Product a Medicare Humana 2019-10-03 5
Product a Medicare Centene 2019-10-03 12
Product a Comm CVS 2019-10-03 87
Product a Comm Cigna 2019-10-03 43
Product a Comm United 2019-10-03 50
Product a Comm Humana 2019-10-03 30
Product a Comm Centene 2019-10-03 90
首先,我需要找到《时代》杂志最近一周的内容
上表为2019-10-03
现在,对于这一周,我需要按每个“类型”的值对前2个“名称”进行排序/查找
然后,我需要创建一个如下所示的数据帧-
2019-10-03周“医疗保险”的前两个“名称”是CVS和信诺。 2019-10-03周“通信”的前两个“名称”是Centene和CVS
Product Type Name Time Value
Product a Medicare CVS 2018-10-05 10
Product a Medicare Cigna 2018-10-05 20
Product a Comm Centene 2018-10-05 60
Product a Comm CVS 2018-10-05 20
Product a Medicare CVS 2019-10-03 30
Product a Medicare Cigna 2019-10-03 20
Product a Comm Centene 2019-10-03 90
Product a Comm CVS 2019-10-03 87
首先对最新日期时间使用
Product
、Type
和Name
组合进行筛选,然后对所有日期时间使用merge
组合进行筛选:IIUC,首先对数据帧进行排序,然后分组并使用head:
输出:
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