Python 匹配具有相似但不精确匹配的数据行的两个数据库中的名称

我尝试了difflib和fuzzy wuzzy来匹配这个问题中的名称，但是由于名称的变化，匹配率很低。我现在正试图使用我拥有的其他数据字段作为名称，但完全不确定如何处理这样的问题。如果我不清楚，请让我知道，我会尽力澄清

我有两个数据框，它们保存着相似但不精确匹配的人的信息。我希望将每个数据帧的参考号与另一个数据帧的参考号进行匹配，每个人的参考号都是唯一的。举例来说，在下表中，我想知道Jimmy/James Random是同一个人，但在第一个数据帧中不匹配的名称参考号在DF1中是1234，在DF2中是89。请注意，一个人的排名可能会发生变化，但会同时在两个表中发生变化。每个人的参考号、样式、ID和国籍将始终保持不变

df1 = pd.DataFrame(columns=["Ref","Date","Name", "Rank","Nationality","Style","ID"], \
                      data=[["1234","20200104","Jimmy Random","General","France","Aggressive",""],\
                           ["1333","20200104","Ian Fleming","Brigadier","England","Passive","14"],\
                           ["1234","20191204","Jimmy Random","Major","France","","15"],\
                           ["1000","20200404","Peter Nisbett","Corporal","","Passive","12"]])
df2 = pd.DataFrame(columns=["Ref","Date","Name", "Rank","Nationality","Style","ID"], \
                      data=[["89","20200104","James Random","","France","Aggressive","104"],\
                           ["10","20200104","I. Fleming","Brigadier","England","","4"],\
                           ["156","20200404","P. Nisbett","","Spain","Passive","5"],\
                           ["89","20191204","James Random","Major","France","Aggressive","104"]])

提前非常感谢您提供的任何帮助

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奶酪汉堡

您基本上需要将字符串与其他分析进行比较，对吗？检查余弦相似性，它在scit learn中实现。

请在问题文本中提供示例数据，而不是图片或链接，以便将代码、数据和错误消息作为文本。Python无法读取图像来运行代码。明白了，在文本formI中添加代码，我现在就去看看，谢谢你的提示！！