Dataset

(C) J. Renero

This class attempts, through a very simple approach, collect all the common tasks that are normally done over pandas dataframes, like:

• load data
• set the target variable
• describe the health status of the dataset
• drop/keep columns or sample from simple lists
• split the dataset
• count categorical and numerical features
• fix NA's
• find correlations
• detect skewness
• scale numeric values
• detect outliers
• one hot encoding
• find under represented categorical features
• perform stepwise feature selection

Install

To install this package, first of all, be sure you have Python 3.7, and then do the following:

$ pip install git+http://github.com/renero/dataset

Or, if you prefer, clone the repository using git clone https:/github.com/renero/dataset.git, and then move into the just created folder to install it:

$ git clone https:/github.com/renero/dataset.git
$ cd dataset
$ pip install -e .

Examples

Check the example.ipynb to see how to start using it.

Documentation

Please, check the latest documentation at ReadTheDocs PyDataset Project page.