Python 数据硝基与模糊逻辑

我试图在Excel电子表格上对从Microsoft CRM导出的两个数据源执行模糊逻辑。一个是账户数据，另一个是Lead的数据

账户表包含-所有现有客户。 潜在客户的工作表是“脏表”，包含-所有现有客户+潜在客户

我想使用模糊逻辑将两张表匹配在一起，因为精确匹配对我的案例不起作用，因此从潜在客户表中过滤掉所有“实际潜在客户”

例如：

帐目表-

Courtyard by Marriott-Calgary
Courtyard Middletown
Granite Broadway Development LLC
Infinity formerly known as Residence inn
Inversiones Hoteleras CH de Escazú S.A
Marriott Chicago O'Hare Hotel
Marriott Residence Inn
Marriott Residence Inn
Marriott Residence Inn

Residence Inn by Marriott
Residence Inn and Courtyard by Marriott Manhattan
Residence Inn by Marriott Edinburgh
Residence Inn
Residence Inn Bellevue
Residence Inn Phoenix Glendale
Residence Inn Phoenix Glendale
Residence Inn Phoenix Glendale
Residence Inn Phoenix Glendale

铅表-

Courtyard by Marriott-Calgary
Courtyard Middletown
Granite Broadway Development LLC
Infinity formerly known as Residence inn
Inversiones Hoteleras CH de Escazú S.A
Marriott Chicago O'Hare Hotel
Marriott Residence Inn
Marriott Residence Inn
Marriott Residence Inn

Residence Inn by Marriott
Residence Inn and Courtyard by Marriott Manhattan
Residence Inn by Marriott Edinburgh
Residence Inn
Residence Inn Bellevue
Residence Inn Phoenix Glendale
Residence Inn Phoenix Glendale
Residence Inn Phoenix Glendale
Residence Inn Phoenix Glendale

在本例中，我只给出了company name列，但实际上我将在company name、address 1、address 2等列的集合上执行此操作

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使用DataNitro有什么方法可以实现这一点吗？

问题到底是什么，这与DataNitro有什么特别的关系？没有用于进行模糊字符串匹配的DN函数，但可以将任何python库导入DN脚本。如果你能更具体地回答这个问题，也许我可以补充一些有用的东西。同时，我建议您查看水母库中的字符串匹配。我希望在Excel中对一组列与另一组列进行模糊匹配，这个问题与DataNitro有关，因为我想在Excel中使用Python进行模糊匹配。感谢您提供有关用于字符串匹配的水母库的信息，我将查看它。在任何情况下，我都会将数据读入pandas对象或类似对象，不要直接在excel中工作，然后您可以使用DN粘贴匹配的值。我准备了三本关于水母的笔记本，因为文档很少：非常感谢woody，我将按照这个程序进行操作，如果我有任何问题，我会发布。