Outlier Detection
Detect outliers from pandas dataframe using various statistical tools
INSTALLATION AND USAGE
!pip install outlier-detection
from outlier_detection import detect_outliers_using_iqr
import pandas as pd
# Pandas Dataframe
data = pd.read_csv('titanic.csv')
# Detect outliers using IQR Method
# On overall data
detect_outliers_using_iqr(df, 'Fare')
# Based on factors data
detect_outliers_using_iqr(data, 'Fare', is_factor=True, factor='Sex')
Github Repository: https://github.com/bilalProgTech/outlier-detection.git
Tutorial Data Credit: https://www.kaggle.com/c/titanic
1 maintainer
Release files for outlier-detection 1.0.6
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| outlier_detection-1.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Release files / outlier_detection-1.0.6-py3-none-any.whl
| Download URL | outlier_detection-1.0.6-py3-none-any.whl |
|---|---|
| Size | 10.7 kB |
| Tags | Python 3 |
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