fuzzy_pandas | Fuzzy matches and merging of datasets in pandas
kandi X-RAY | fuzzy_pandas Summary
kandi X-RAY | fuzzy_pandas Summary
fuzzy_pandas is a Python library. fuzzy_pandas 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 fuzzy_pandas' or download it from GitHub, PyPI.
A razor-thin layer over csvmatch that allows you to do fuzzy matching with pandas dataframes.
A razor-thin layer over csvmatch that allows you to do fuzzy matching with pandas dataframes.
Support
Quality
Security
License
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Support
fuzzy_pandas has a low active ecosystem.
It has 46 star(s) with 16 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of fuzzy_pandas is current.
Quality
fuzzy_pandas has 0 bugs and 0 code smells.
Security
fuzzy_pandas has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
fuzzy_pandas code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
fuzzy_pandas is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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fuzzy_pandas 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.
fuzzy_pandas saves you 33 person hours of effort in developing the same functionality from scratch.
It has 90 lines of code, 1 functions and 3 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of fuzzy_pandas
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of fuzzy_pandas
fuzzy_pandas Key Features
No Key Features are available at this moment for fuzzy_pandas.
fuzzy_pandas Examples and Code Snippets
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name,location,codename
George Smiley,London,Beggerman
Percy Alleline,London,Tinker
Roy Bland,London,Soldier
Toby Esterhase,Vienna,Poorman
Peter Guillam,Brixton,none
Person Name,Location
Maria Andreyevna Ostrakova,Russia
Otto Leipzig,Estonia
George S
Community Discussions
No Community Discussions are available at this moment for fuzzy_pandas.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fuzzy_pandas
You can install using 'pip install fuzzy_pandas' or download it from GitHub, PyPI.
You can use fuzzy_pandas 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.
You can use fuzzy_pandas 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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