Metadata-Version: 2.1
Name: dython
Version: 0.6.2
Summary: A set of data tools in Python
Home-page: http://shakedzy.xyz/dython
Author: Shaked Zychlinski
Author-email: shakedzy@gmail.com
License: BSD (3-clause)
Download-URL: https://github.com/shakedzy/dython
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas (>=0.23.4)
Requires-Dist: seaborn
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: scikit-learn

# Dython

A set of **D**ata analysis tools in p**YTHON** 3.x.

**Key features:**
* Measures of association for categorical features
* Plot features correlation and association for mixed data-sets (categorical and continuous features) 
in an easy and simple way
* Plot ROC curves with AUC scores and estimated-optimal thresholds 

Dython was designed with analysis usage in mind - meaning ease-of-use, functionality and readability are the core 
values of this library. Production-grade performance, on the other hand, were not considered.

## Resources:
* Documentation is available at [shakedzy.xyz/dython](http://shakedzy.xyz/dython)
* Project source is available at [https://github.com/shakedzy/dython](https://github.com/shakedzy/dython)

## Related blogposts:
* Read more about the categorical tools on [The Search for Categorical Correlation](https://medium.com/@shakedzy/the-search-for-categorical-correlation-a1cf7f1888c9)
* Read more about using ROC graphs on [Hard ROC: Really Understanding & Properly Using ROC and AUC](https://medium.com/@shakedzy/hard-roc-really-understanding-and-properly-using-roc-and-auc-13413cf0dc24)


