PROJECT 084 · PYTHON SOURCE
Fault geometry profiles
Study-specific code. Shared modules, dependency versions, and reproduction instructions are included in all project files.
Download Python file ↓from pathlib import Path
import sys
ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(ROOT))
import numpy as np
import pandas as pd
from scipy.stats import spearmanr
from sklearn.decomposition import PCA
from sklearn.ensemble import IsolationForest
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import confusion_matrix, precision_score, recall_score
from portfolio.data import load
from portfolio.constants import *
from portfolio.methods import result, sql, rates, associations, distribution, regression, classification, cluster
from portfolio.engine import execute
META = {'id': 84, 'dataset': 'steel', 'title': 'Fault geometry profiles', 'question': 'How do pixel area and perimeter profiles differ by recorded fault class?', 'method': 'Class-level median geometry with sample sizes.', 'action': 'Discuss whether geometry can support inspection triage with process engineers.', 'limitations': 'Every source row is a recorded fault. The data cannot estimate a production defect rate or distinguish healthy plates. Batch and machine IDs are absent, so grouped exact-input holdouts do not prove factory transfer. '}
def analyze():
df = load('steel').copy()
t=df.groupby('fault').agg(records=('row_id','size'),median_pixels=('pixels_areas','median'),median_x_perimeter=('x_perimeter','median'),median_y_perimeter=('y_perimeter','median')).reset_index()
out=result(t,'fault','median_pixels','Pixels','Image-scale and acquisition conditions may differ; geometry is not a physical damage severity measure.')
return out
if __name__ == "__main__":
execute(Path(__file__).parent, META, analyze)