Data_impute

Data imputation library for pandas data-frame

Data_impute is a data imputation library which imputes the missing data in the data-frame.

Overview

data_impute performs the following operations on the pandas data-frames

Imputes contentious missing data

• Mean Imputation
• Mode Imputation
• Median Imputation
• Random Sample Imputation
• end Of Distribution Imputation

Imputes categorical missing data

• frequent Category Imputation
• capture NaN with Feature Imputation
• capture NaN with Category Imputation

Usage

In the following paragraphs, I am going to describe how you can get and use Data Impute for your own projects.

Getting it

To download Data Impute, either fork this github repo or simply use Pypi via pip.

$ pip install data_impute

Using it

data_impute was programmed with ease-of-use in mind. First, import null_imputer from data_impute

from data_impute import null_imputer

#Run it Run the App by calling null_imputer.run() and providing the Data Frame

null_imputer.run(<DataFrame Name>)