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I have single column of address and I want to calculate levenshtein distance of all address in one column containing many address.

There are 40 address and I have to compare each address with eachother and find distance. Please help.

spyder
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  • Hence for 40 addresses, you'll make 40*39 comaprisions, right? – taurus05 Aug 01 '19 at 09:03
  • aboslutely right – spyder Aug 01 '19 at 09:49
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    Possible duplicate of [Compute Edit distance for a dataframe which has only column and multiple rows in python](https://stackoverflow.com/questions/47156739/compute-edit-distance-for-a-dataframe-which-has-only-column-and-multiple-rows-in) – taurus05 Aug 01 '19 at 10:24
  • it worked. what if I have multiple columns and I have to check for each coloum text similarity – spyder Aug 01 '19 at 11:23
  • you can ask a separate question regarding the new problem you are facing. Maybe, you can get answer from the members in a much better way. – taurus05 Aug 01 '19 at 18:12

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