pandas-dedupe | Simplifies use of the Dedupe library via Pandas | Data Manipulation library

by Lyonk71 Python Version: 1.5.0 License: No License

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

kandi X-RAY | pandas-dedupe Summary

pandas-dedupe is a Python library typically used in Utilities, Data Manipulation applications. pandas-dedupe has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install pandas-dedupe' or download it from GitHub, PyPI.

Simplifies use of the Dedupe library via Pandas

Support

Quality

Security

License

Reuse

Support

pandas-dedupe has a low active ecosystem.

It has 72 star(s) with 17 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 20 have been closed. On average issues are closed in 225 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pandas-dedupe is 1.5.0

Quality

pandas-dedupe has 0 bugs and 10 code smells.

Security

pandas-dedupe has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pandas-dedupe code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pandas-dedupe does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pandas-dedupe 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.

It has 335 lines of code, 14 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Link dataframes
Select fields
Convert field properties to float
Convert to lat longitude
Clean punctuation
Trim a string
Generate a dataframe from a dataframe
Performs clustering
Train the model
Perform active labeling
Perform a dedupe of the dataframe

Get all kandi verified functions for this library.

pandas-dedupe Key Features

No Key Features are available at this moment for pandas-dedupe.

pandas-dedupe Examples and Code Snippets

No Code Snippets are available at this moment for pandas-dedupe.

Community Discussions

Trending Discussions on pandas-dedupe

Settings for pandas_dedupe to stop automatically printing

QUESTION

Settings for pandas_dedupe to stop automatically printing

Asked 2021-Mar-07 at 16:05

Are there any settings for pandas-dedupe to stop automatically printing. It always prints

...

ANSWER

Answered 2021-Mar-06 at 15:52

I'm one of the maintener of pandas-dedupe.

Thank for your interest in the library. At the moment there is no setting to stop automatic printing.

Feel free to open an issue on the pandas-dedupe github page if this is an essential feature for your work. Also, we are happy to receive a PR, if you want.

Source https://stackoverflow.com/questions/65529967

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

Vulnerabilities

No vulnerabilities reported

Install pandas-dedupe

You can install using 'pip install pandas-dedupe' or download it from GitHub, PyPI.
You can use pandas-dedupe 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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