A set of Data analysis tools in pYTHON 3.x.
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.
Modules documentation can be found on shakedzy.xyz/dython
Dython can be installed directly using pip:
pip install dython
If you wish to install from source:
pip install git+https://github.com/shakedzy/dython.git
Dependencies: numpy, pandas, seaborn, scipy, matplotlib, sklearn
Contributions are always welcomed - if you found something you can fix, or have an idea for a new feature, feel free to write it and open a pull request. Please make sure to go over the contributions guidelines.
Change log is available, see CHANGELOG.md.
- Read more about the categorical tools on The Search for Categorical Correlation
- Read more about using ROC graphs on Hard ROC: Really Understanding & Properly Using ROC and AUC