iqr-outlier 0.1.2

A library to detect and remove outliers using IQR.

IQR Outlier Detection Library

This Python package helps in detecting and removing outliers from a dataset using the Interquartile Range (IQR) method.

Features

• Detects outliers using IQR.
• Removes outliers from a dataset.
• Works with Pandas DataFrames and Series.

Installation

Clone the repository and install the package in editable mode:

pip install iqr-outlier

Usage

Import the package:

from iqr_outlier.detection import detect_outliers # Returns list with outliers
from iqr_outlier.removal import remove_outliers # Return a pandas series with outliers removed
import pandas as pd

Example

# Sample dataset
data = pd.Series([10, 12, 14, 15, 18, 20, 22, 24, 30, 100])

# Detect outliers
outliers = detect_outliers(data)
print("Outliers:", outliers.tolist())

# Remove outliers
cleaned_data = remove_outliers(data)
print("Cleaned Data:", cleaned_data.tolist())

Project Structure

iqr_outliers/
│-- iqr_outlier/
│   │-- __init__.py
│   │-- detection.py
│   │-- removal.py
│-- setup.py
│-- test.py
│-- README.md