I have a large pandas DataFrame consisting of 1 million rows, and I want to get the Levenshtein distance between every entity in one column of the Dat ...
I have a large pandas DataFrame consisting of 1 million rows, and I want to get the Levenshtein distance between every entity in one column of the Dat ...
I have a similarity matrix of words and would like to apply an algorithm that can put the words in clusters. Here's the example I have so far: Obv ...
Let's say i have two dataframes Dataframe 1: ID1 NAME1 1 JUANA 2 LUCAS ...
I have 2 DataFrames namely 'Master_data_df' & 'My_records_df'. I am required to find out records which are missed out from 'Master_data_df' by com ...
I have a function distance/2 which calculates the Levenshtein Distance between two strings. I would like to use this as an argument for order_by/3 (d ...
Running pip install pandas-dedupe, I get the following error: I tried manually installing python-Levenshtein first and got the same problem with the ...
I have a set and a string How can I return a list The typos are at most 2 edit distance away from the original city name. If the cities had 1 ...
I am working on a project that uses fuzzy logic on a list of names that could go about 100,000 unique records. On the recent screening that we have co ...
I want to find identical and very similar images within a truckload of photos. To do this, I want to compare the Levenstein (or Hamming, not decided y ...
I have a dataframe with different values in a column (about 6,000 rows), which I need to replace with similar (but differents) values found in ano ...
I have a corpus that looks something like this LETTER AGREEMENT N°5 CHINA SOUTHERN AIRLINES COMPANY LIMITED Bai Yun Airport, Guangzhou 510405, Peo ...
I want to install paddleocr for the project and during installation in Ubuntu 20.04 I received the following error Followed various answers here on ...
I have a table where each row has two columns of names representing an intersection. there is a second table, in which each row presenting one street ...
I'm attempting to use the Myers bit-parallel algorithm to perform fast approximate string matching in Java. I found an excellent implementation in C, ...
I want to add the results calculated by the Levenshtein method to an existing dataframe. The calculation for the Levenshtein distances looks as follow ...
I have a csv file that looks as follows: Now I want to calculate the Levenshtein distance for each pair of name. So compare "John Doe" to "John Doe ...
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I have dataframe column with typos. ID Banknane 1 Bank of America 2 bnk of Ame ...
Say I have a table like this: Person1 Person2 Dave Fred Dave Dave ...
I used Agrepl for fuzzy matching between two sets of addresses. The documentation says that the default is: If cost is not given, all defaults to ...