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adtk_threshold_anomaly_detection_with_visualization.py

python

This quickstart demonstrates how to load a sample dataset, apply a threshold-based

15d ago18 linesadtk.readthedocs.io
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adtk_threshold_anomaly_detection_with_visualization.py
1import pandas as pd
2from adtk.data import validate_series
3from adtk.visualization import plot
4from adtk.detector import ThresholdAD
5
6# Load example data
7from adtk.datasets import load_airline
8s = load_airline()
9s = validate_series(s)
10
11# Initialize a threshold-based anomaly detector
12threshold_ad = ThresholdAD(high=300, low=200)
13
14# Detect anomalies
15anomalies = threshold_ad.detect(s)
16
17# Plot the time series and detected anomalies
18plot(s, anomaly=anomalies, anomaly_color="red", anomaly_tag="marker")