pandas_dq | Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible

by AutoViML Python Version: Current License: Apache-2.0

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

kandi X-RAY | pandas_dq Summary

pandas_dq is a Python library. pandas_dq 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 pandas_dq' or download it from GitHub, PyPI.

Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.

Support

Quality

Security

License

Reuse

Support

pandas_dq has a low active ecosystem.

It has 86 star(s) with 9 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pandas_dq is current.

Quality

pandas_dq has no bugs reported.

Security

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

License

pandas_dq is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

pandas_dq 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, examples and code snippets are available.

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pandas_dq Key Features

No Key Features are available at this moment for pandas_dq.

pandas_dq Examples and Code Snippets

No Code Snippets are available at this moment for pandas_dq.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pandas_dq

To install from source:. or download and unzip https://github.com/AutoViML/pandas_dq/archive/master.zip.
pandas_dq is built using pandas, numpy and scikit-learn - that's all. It should run on almost all Python3 Anaconda installations without additional installs. You won't have to import any special libraries.

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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