outliers-navkiran 1.0.1

Outlier Removal Using Z-score

Library for removing outliers from pandas dataframe

PROJECT 2, UCS633 - Data Analysis and Visualization
Navkiran Singh  
COE17
Roll number: 101703365

Takes two inputs - filename of input csv, intended filename of output csv. Third optional argument is threshold, by default it's 1.5. Output is the number of rows removed from the input dataset. Resulting csv is saved as output.csv.

Installation

pip install outliers_navkiran

Recommended - test in a virtual environment.

Use via command line

outliers_navkiran_cli in.csv out.csv

When providing custom threshold:

outliers_navkiran_cli in.csv out.csv 1.5

First argument after outcli is the input csv filename from which the dataset is extracted. The second argument is for storing the final dataset after processing.

Use in .py script

from outliers_navkiran import remove_outliers
remove_outliers('input.csv', 'output.csv',1.5)