evidently_data_drift_report_with_iris_dataset.py

1import pandas as pd
2from sklearn import datasets
3
4from evidently.report import Report
5from evidently.metric_preset import DataDriftPreset
6
7# Load sample data
8iris_data = datasets.load_iris(as_frame=True)
9iris_frame = iris_data.frame
10
11# Split data into reference and current (e.g., first 75 rows vs last 75 rows)
12reference_data = iris_frame[:75]
13current_data = iris_frame[75:]
14
15# Create a Report object with the Data Drift preset
16report = Report(metrics=[
17    DataDriftPreset(),
18])
19
20# Run the report by comparing the two datasets
21report.run(reference_data=reference_data, current_data=current_data)
22
23# To view the report in a Jupyter notebook:
24report.show(mode='inline')
25
26# To save the report as an HTML file:
27# report.save_html("report.html")