Create utils.py

utils.py

@@ -0,0 +1,38 @@
+# Utility functions for data conversion
+import pandas as pd
+import numpy as np
+from datetime import datetime
+
+
+def safe_convert_numeric(series):
+    """
+    Safely convert a pandas Series to numeric values, coercing errors to NaN.
+    
+    Args:
+        series: Pandas Series to convert
+        
+    Returns:
+        Pandas Series with numeric values
+    """
+    try:
+        return pd.to_numeric(series, errors='coerce')
+    except Exception as e:
+        print(f"Error converting to numeric: {e}")
+        return series
+
+
+def safe_convert_datetime(series):
+    """
+    Safely convert a pandas Series to datetime, coercing errors to NaN.
+    
+    Args:
+        series: Pandas Series to convert
+        
+    Returns:
+        Pandas Series with datetime values
+    """
+    try:
+        return pd.to_datetime(series, errors='coerce')
+    except Exception as e:
+        print(f"Error converting to datetime: {e}")
+        return series