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Elasticsearch Python - 索引分析器和搜索分析器(Elasticsearch Python - Index Analyzer & Search Analyzer)
Elasticsearch Python - 索引分析器和搜索分析器(Elasticsearch Python - Index Analyzer & Search Analyzer)
我正在使用python api - http://elasticsearch-py.readthedocs.org
如何设置更改索引的索引分析器和标记器？ 谢谢
我找到了改变索引映射的建议，但没有关于如何从python中做到这一点的文档。
在ElasticSearch中使用Analyzer进行部分搜索显示n-gram-analyzer的设置，但没有代码在python中实现它。
I am using python api - http://elasticsearch-py.readthedocs.org
How can I set change the index analyzer and tokenizer for the index? Thanks
I found suggestions to change the mapping of the index, but there was no documentation on how to do that from python.
Partial Search using Analyzer in ElasticSearch shows settings for n-gram-analyzer but no code to implement it in python.
原文：https://stackoverflow.com/questions/21507165
更新时间：2021-11-25 12:11
最满意答案
选项1
isindf2[~df2.Email.isin(df1.Email)] Email 4 dddd@abc.com 5 dddd@abc.com 6 3333@abc.com选项2
querydf2.query('Email not in @df1.Email') Email 4 dddd@abc.com 5 dddd@abc.com 6 3333@abc.com选项3
merge
pd.DataFrame.mergewithindicator=True，使您可以查看该行来自哪个数据帧。 然后我们可以过滤它。df2.merge( df1, 'outer', indicator=True ).query('_merge == "left_only"').drop('_merge', 1) Email 20 dddd@abc.com 21 dddd@abc.com 22 3333@abc.comOption 1
isindf2[~df2.Email.isin(df1.Email)] Email 4 dddd@abc.com 5 dddd@abc.com 6 3333@abc.comOption 2
querydf2.query('Email not in @df1.Email') Email 4 dddd@abc.com 5 dddd@abc.com 6 3333@abc.comOption 3
merge
pd.DataFrame.mergewithindicator=True, enables you to see which dataframe the row came from. We can then filter on it.df2.merge( df1, 'outer', indicator=True ).query('_merge == "left_only"').drop('_merge', 1) Email 20 dddd@abc.com 21 dddd@abc.com 22 3333@abc.com
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