FuzzyMatcher | Fast fuzzy regex matcher : specify max edit distance | Regex library
kandi X-RAY | FuzzyMatcher Summary
kandi X-RAY | FuzzyMatcher Summary
A C++ class extension of the [RE/flex] Matcher class for efficient fuzzy matching and fuzzy search with regex patterns.
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Trending Discussions on FuzzyMatcher
QUESTION
I'm observing odd behaviour while performing fuzzy_left_join
from fuzzymatcher
library. Trying to join two df, left one with 5217 records and right one with 8734, the all records with best_match_score
is 71 records, which seems really odd . To achieve better results I even remove all the numbers and left only alphabetical charachters for joining columns. In the merged table the id column from the right table is NaN
, which is also strange result.
left table - column for join "amazon_s3_name". First item - limonig
ANSWER
Answered 2021-Mar-21 at 20:29You could give polyfuzz
a try. Use the examples' setup, for example using TF-IDF
or Bert
, then run:
QUESTION
In this article, the author suggests the following
To install fuzzy matcher, I found it easier to conda install the dependencies (pandas, metaphone, fuzzywuzzy) then use pip to install fuzzymatcher. Given the computational burden of these algorithms you will want to use the compiled c components as much as possible and conda made that easiest for me.
Can someone explain why he is suggesting to use Conda
to install dependencies and then use pip
to install the actual package i.e fuzzymatcher
? Why can't we just use Conda
for both? Also, how do we know if we are using the compiled C packages as he suggested?
ANSWER
Answered 2021-Feb-21 at 00:34For the compiled C packages, you could import a package, see where it's located, and check the package itself to see what it imports. At some point, you would read into an import of a compiled module (.so extension on *nix). There's possibly an easier way, but that may depend on at what point in the import sequence of the package the compiled module is loaded.
Fuzzymatcher may not be available through Conda, or only an outdated version, or only a version that matches an outdated set of dependencies. Then you may end up with an out-of-date set of packages. Pip may have a more recent version of fuzzymatcher, and likely cares less (for better or worse) on the versions of various other packages in your environment. I'm not familiar with fuzzymatcher, so I can't give you an exact reason: you'd have to ask the author.
Note that the point of that paragraph, on installing the necessary packages with Conda, is that some packages require (C) libraries (not necessary compiled packages, though these will depend on these libraries) that may not be installed by default on your system. Conda will install these for you; Pip will not.
QUESTION
I am trying to use fuzzymatcher, but when I run the code I get the following error:
...ANSWER
Answered 2020-Nov-02 at 07:14These are the Steps I Followed & Extensions got enabled,
QUESTION
Background info
I'm working on a DataFrame where I have successfully joined two different datasets of football players using fuzzymatcher. These datasets did not have keys for an exact match and instead had to be done by their names. An example match of the name column from two databases to merge as one is the following
ANSWER
Answered 2020-Apr-20 at 21:28IICU:
Please Try np.where
.
Works as follows;
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