lux-pypi

by lux-org Python Version: Current License: Apache-2.0

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

kandi X-RAY | lux-pypi Summary

lux-pypi is a Python library. lux-pypi has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

lux-pypi

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Quality

Security

License

Reuse

Support

lux-pypi has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

lux-pypi has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lux-pypi is current.

Quality

lux-pypi has no bugs reported.

Security

lux-pypi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

lux-pypi 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

lux-pypi releases are not available. You will need to build from source code and install.

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

Installation instructions, examples and code snippets are available.

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lux-pypi Key Features

No Key Features are available at this moment for lux-pypi.

lux-pypi Examples and Code Snippets

No Code Snippets are available at this moment for lux-pypi.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install lux-pypi

To start using Lux, simply add an extra import statement along with your Pandas import. Lux can be used without modifying any existing Pandas code. Here, we use Pandas's read_csv command to load in a dataset of colleges and their properties. When the dataframe is printed out, Lux automatically recommends a set of visualizations highlighting interesting trends and patterns in the dataset.
Note: After installing the package, remember to run the setup instructions for your notebook IDE, e.g., jupyter notebook and jupyter lab. To get started, please follow both the installation and setup instructions in your command line. lux can be installed through PyPI or conda-forge.
To use Lux with any Jupyter notebook-based frontends (e.g., Jupyter notebook, JupyterHub, or VSCode), activate the notebook extension:. If the installation happens correctly, you should see two - Validating: OK after executing the two lines above. Note that you may have to restart the Jupyter Notebook server to ensure that the widget is displaying correctly.
Lux is compatible with both Jupyter Lab version 2 and 3. To use Lux in Jupyter Lab, activate the lab extension:. Note that JupyterLab and VSCode is supported only for lux-widget version >=0.1.2, if you have an earlier version, please upgrade to the latest version of lux-widget. Lux has only been tested with the Chrome browser. If you encounter issues with the installation, please refer to this page to troubleshoot the installation. Follow these instructions to set up Lux for development purposes.