# tools/plotter.py
import os
import matplotlib.pyplot as plt
import pandas as pd
def plot_outliers(
df: pd.DataFrame,
x_col: str,
y_col: str,
output_path: str = "static/plot.png"
) -> str:
plt.figure(figsize=(8, 6))
# Plot inliers and outliers
inliers = df[df["outlier"] == "inlier"]
outliers = df[df["outlier"] == "outlier"]
plt.scatter(inliers[x_col], inliers[y_col], c="blue", label="Inlier", alpha=0.6)
plt.scatter(outliers[x_col], outliers[y_col], c="red", label="Outlier", alpha=0.8)
plt.xlabel(x_col)
plt.ylabel(y_col)
plt.title("Outlier Detection")
plt.legend()
plt.tight_layout()
os.makedirs(os.path.dirname(output_path), exist_ok=True)
plt.savefig(output_path)
plt.close()
return output_path
