textdistance | Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, op | Learning library
kandi X-RAY | textdistance Summary
kandi X-RAY | textdistance Summary
TextDistance -- python library for comparing distance between two or more sequences by many algorithms.
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- Returns a quick answer
- Return the answer for the given sequences
- Check if elements are equal
- Return the library base for the given algorithm
- Return the size of the data
- Compute the fractional distribution
- Compute the start and end of the data
- Create probabilities for sequences
- Run benchmarks
- Filter out benchmarks that are less than external
- Get an iterator over the external benchmarks
- Get installed libraries
- Return the normalized similarity of sequences
- Compute the distance between two sequences
- Return the distance between sequences
- Return the distance between two sequences
- Distance between two sequences
- Computes the similarity between two sequences
- Sort libs by speed
- Calculate the similarity between two sequences
- Shortcut for quick answer
textdistance Key Features
textdistance Examples and Code Snippets
Lines of Code : 17License : Permissive (MIT)
Copy$ go get github.com/masatana/go-textdistance
package main
import (
"fmt"
"github.com/masatana/go-textdistance"
)
func main() {
s1 := "this is a test"
s2 := "that is a test"
fmt.Println(textdistance.LevenshteinDistance(s1, s2))
fmt.Println(t >>> import timeit
>>> #fastDamerauLevenshtein:
... timeit.timeit(setup="import fastDamerauLevenshtein; text1='afwafghfdowbihgp'; text2='goagumkphfwifawpte'", stmt="fastDamerauLevenshtein.damerauLevenshtein(text1, text2)", number=100 $ go test
PASS
ok github.com/masatana/go-textdistance 0.002s
Community Discussions
Trending Discussions on textdistance
QUESTION
I am currently trying to cluster a list of sequences based on their similarity using python.
ex:
DFKLKSLFD
DLFKFKDLD
LDPELDKSL
...
The way I pre process my data is by computing the pairwise distances using for example the Levenshtein distance. After calculating all the pairwise distances and creating the distance matrix, I want to use it as input for the clustering algorithm.
I have already tried using Affinity Propagation, but convergence is a bit unpredictable and I would like to go around this problem.
Does anyone have any suggestions regarding other suitable clustering algorithms for this case?
Thank you!!
...ANSWER
Answered 2021-Apr-01 at 22:38QUESTION
I have a data frame with a column named title, I want to apply textdistance to check similarities between different titles and remove any rows with similar titles (based on a specific threshold). Is there away to do that directly, or I need to define a custom function and group similar titles togother before removing "duplicates" (titles that are similar)? A sample would look like this.
...ANSWER
Answered 2021-Feb-13 at 10:03So I have done it in a different way. I have created a column to mask which rows to keep and to delete. I accessed the target row and checked the similarity with the rows below it.
QUESTION
I am trying to use pandas_udf since my data is in a PySpark dataframe but I would like to use a pandas library. I have a lot of rows so I cannot convert my PySpark dataframe into a Pandas dataframe.
I use textdistance (pip3 install textdistance)
And import it: import textdistance.
ANSWER
Answered 2021-Feb-12 at 15:56A normal Python UDF could do the job:
QUESTION
I've been coding in Jupyter primarily due to a professors preference so when I opened Sypder to use recently it wanted me to update it up and I did via Conda and now it is giving me this when I try to open it. I tried to force Sypder back to the previous version but no luck. Can someone help??
...ANSWER
Answered 2021-Feb-08 at 02:30(Spyder maintainer here) This error was caused by an incorrectly packaged version of Spyder but it's fixed now.
To get the fix, please open the Anaconda Prompt and run there
QUESTION
I am using Python 3.9.0 and Spyder 4.2.0 on Windows 10 (x64) machine. Via official repo, I installed the spyder-terminal plugin using pip. It installed successfully. After installation, when I open the Spyder IDE, I can't see the terminal. I tried digging into View>Panes and also under Preferences, but couldn't see any hints towards enabling/checking the spyder-terminal?
Did someone come across the same issue and has a workaround to suggest? Am I missing some dependencies?
Here is the output of pip list:
ANSWER
Answered 2020-Dec-20 at 20:18Click on View => Pane => IPython Console. Ipython console should open up at the bottom right corner
QUESTION
I'm using the textdistance.needleman_wunsch.normalized_distance from textdistance library (https://github.com/life4/textdistance). I'm using it with cdist from Scipy library to compute pair distance of sequences. But the process is very long due to a nested enumerate for loop.
Here you can find the code used in textdistance library that takes time, I wanted to know if you had any idea of how I could speed up the nested nested for loop, maybe using list comprehension ?
ANSWER
Answered 2020-Oct-31 at 11:16This code is slow for several reasons:
- it is (probably) executed in CPython and written in pure Python which is a slow interpreter not designed for this kind of numerical code;
sim_funcis a generic way to compare various kind of elements but is also very inefficient (allocations, hashing, exception handling and string manipulation).
The code cannot be parallelized easily and so vectorized numpy. However, you can use Numba to speed it up. It will worth it only if the input string are quite big or this processing is executed a lot of time. If this is not the case, please use a more appropriate programming language (eg. C, C++, D, Rust, etc.) or a native Python module dedicated for that.
Here is the optimized Numba code:
QUESTION
I have two CSV files which I need to compare. The first one is called SAP.csv, and the second is SAPH.csv.
SAP.csv has these cells:
...ANSWER
Answered 2020-Oct-23 at 16:31@George_Pipas's answer to this question demonstrates an example using the library textdistance (I'm paraphrasing part of his answer here):
A solution is to work with the
textdistancelibrary. I will provide an example ofCosine Similarity
QUESTION
I am trying to calculate the normalized editex similarity between two strings using python. ASo far I have used this code to get the raw editex distance which has worked fine:
...ANSWER
Answered 2020-Jun-17 at 11:40Turns out I didn't read the documentatation properly and the arguments to use are defined.
For clarity I have pasted the arguments below:
All algorithms have 2 interfaces:
QUESTION
Please check my code below, I am trying to iterate across two dataframes and check whether country name is same for both dataframe. But I am getting Na/NaN values error time and again and I am not able to understand why? Both datasets have no Na/NaN values but despite that I keep getting this error. Please help! Error is thrown at the IF statement. Country_name is a string such as United States, India etc.
...ANSWER
Answered 2020-May-03 at 20:07Take a careful look at how iterrows() works (for example here).row and row1are already the rows you want to access, you just have to get the column within them, e.g.
QUESTION
Have this code , i want to have levenshtein distance between two list of numbers.
...ANSWER
Answered 2019-Jun-14 at 12:22Try to use jellyfish library as such:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install textdistance
You can use textdistance like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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