Installation

The best way to install adix (other than from source) is to use pip:

pip install adix

adix is still under development If you encounter any data, compatibility, or installation issues, please don’t hesitate to reach out!

Quick start

The system is designed for rapid visualization of target values and dataset, facilitating quick analysis of target characteristics with just one function ix.eda(). Similar to pandas’ df.describe() function, it provides extended analysis capabilities, accommodating time-series and text data for comprehensive insights.

import adix as ix
from adix.datasets import load_dataset

titanic = load_dataset('titanic')

10 minutes to adix

1. Rendering the whole dataframe

ix.eda(titanic)

using forest color theme

2. Accesing variables of specific dtype

Render the DataFrame containing only categorical variables.

ix.eda(titanic,val='categorical')

3. Accesing individual variables

ix.eda(titanic,'Age')

using forest color theme

Pairwise sample

4. Pandas .loc & .iloc

An easy way to render only a part of the DataFrame you are interested in.

ix.eda(titanic.loc[:10:2,['Age','Pclass','Fare'])

5. Changing theme colors

ix.Configs.get_theme()
...
ix.Configs.set_theme('FOREST')

6. Bivariate relationships: numerical & numerical

ix.eda(titanic,'Age','Fare')

7. Bivariate relationships: categorical & numerical

ix.eda(titanic,'Sex','Age')

8. Bivariate relationships: categorical & categorical

ix.eda(titanic,'Sex','Survived')

Get started