textpack | Group thousands of similar spreadsheet

by lukewhyte Python Version: 0.0.7 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions Vulnerabilities Install Support

kandi X-RAY | textpack Summary

textpack is a Python library. textpack has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install textpack' or download it from GitHub, PyPI.

TextPack efficiently groups similar values in large (or small) datasets. Under the hood, it builds a document term matrix of n-grams assigned a TF-IDF score. It then uses matrix multiplication to calculate the cosine similarity between these values. For a technical explination, I wrote a blog post.

Support

Quality

Security

License

Reuse

Support

textpack has a low active ecosystem.

It has 38 star(s) with 12 fork(s). There are no watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 28 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of textpack is 0.0.7

Quality

textpack has 0 bugs and 0 code smells.

Security

textpack has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

textpack code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

textpack is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

textpack releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

textpack saves you 49 person hours of effort in developing the same functionality from scratch.

It has 130 lines of code, 23 functions and 4 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed textpack and discovered the below as its top functions. This is intended to give you an instant insight into textpack implemented functionality, and help decide if they suit your requirements.

Export the main dataframe to a CSV file
Remove columns from the main dataframe

Get all kandi verified functions for this library.

textpack Key Features

No Key Features are available at this moment for textpack.

textpack Examples and Code Snippets

How do I use it?

Python

Lines of Code : 18

License : Permissive (MIT)

Copy

pip install textpack

from textpack import tp

tp.TextPack(df, columns_to_group, match_threshold=0.75, ngram_remove=r'[,-./]', ngram_length=3)

tp.read_csv(csv_path, columns_to_group, match_threshold=0.75, ngram_remove=r'[,-./]', ngram_length=3)

tp.

Community Discussions

No Community Discussions are available at this moment for textpack.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install textpack

You can install using 'pip install textpack' or download it from GitHub, PyPI.
You can use textpack 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.