Create utils/visualize.py

utils/visualize.py

@@ -0,0 +1,28 @@
+```
+import matplotlib.pyplot as plt
+import pandas as pd
+import logging
+
+logger = logging.getLogger(__name__)
+
+def plot_usage(df):
+    """Plot daily usage trends from log data."""
+    logger.info("Generating usage plot...")
+    try:
+        df["timestamp"] = pd.to_datetime(df["timestamp"])
+        daily_usage = df.groupby([df["timestamp"].dt.date, "equipment"]).size().unstack(fill_value=0)
+        
+        fig, ax = plt.subplots(figsize=(10, 6))
+        daily_usage.plot(kind="line", ax=ax)
+        ax.set_title("Daily Usage Trends")
+        ax.set_xlabel("Date")
+        ax.set_ylabel("Usage Count")
+        ax.legend(title="Equipment")
+        plt.tight_layout()
+        
+        logger.info("Usage plot generated successfully.")
+        return fig
+    except Exception as e:
+        logger.error(f"Failed to generate usage plot: {e}")
+        raise
+```