lux
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lux-org
Automatically visualize your pandas dataframe via a single print! 📊 💡
## Proposal [pre-commit](https://pre-commit.com) is able to run actions on every commit, this is very useful to automatically format the code and ensure all files formatted correctly when commiting, this avoids...
## Overview This PR introduces a way to incorporate different sorters for Vis Objects. Currently, this only includes interestingness and alphabetical sorts, but later on, we can extend this class....
**Describe the bug** Install of luxwidget as a jupyter lab extension fails, while the notebook extension is working fine. **To Reproduce** 1. build a conda python 3.8 environment 2. pip...
**Is your feature request related to a problem? Please describe.** I can see the graphs in jupyter notebook but it is not suitable to present to client in jupyter notebook...
Hello, first of all thanks for the great work! Going through the documentation/FAQ, I have not yet found a description how to export a selected plot to a per default...
Running the binder tutorial I receive the following error ``` /srv/conda/envs/notebook/lib/python3.7/site-packages/IPython/core/formatters.py:918: UserWarning: Unexpected error in rendering Lux widget and recommendations. Falling back to Pandas display. Please report the following issue...
## Overview This change (along with the frontend changes) implements lazy loading of the tabs. In essence, all tabs are initially greyed out and tabs are loaded one by one....
**Problem** When using lux with VL / Altair, it seems like each visualization has its own copy of the data that is then serialized through JSON to the frontend jupyter...
## Overview This PR addresses #240 by adding support for the ordinal data type. Currently, the only way to set the data type to ordinal is by using `df.set_data_type({"col_name": "ordinal})`...
**Is your feature request related to a problem? Please describe.** Distributions show single dimensions. There are fewer distribution plots than correlations so they can be explored more quickly. Also one...
