Extend pipelines/steps/adjust_uncertainty_column_in_nas_file.py to handle list of variables.

pipelines/steps/utils.py

@@ -93,8 +93,28 @@ def generate_missing_value_code(max_val, num_decimals):
 
     return missing_code
 
-def compute_uncertainty_estimate(x,x_err):
-    return ((0.5*x_err)**2+(0.5*x)**2)**0.5
+import math
+import numpy as np
+
+def compute_uncertainty_estimate(x, x_err):
+    """
+    Computes uncertainty estimate: sqrt((0.5 * x_err)^2 + (0.5 * x)^2)
+    for scalar inputs. Prints errors if inputs are invalid.
+    """
+    try:
+        x = float(x)
+        x_err = float(x_err)
+
+        if math.isnan(x) or math.isnan(x_err):
+            print(f"Warning: One or both inputs are NaN -> x: {x}, x_err: {x_err}")
+            return np.nan
+
+        return math.sqrt((0.5 * x_err)**2 + (0.5 * x)**2)
+
+    except (ValueError, TypeError) as e:
+        print(f"Error computing uncertainty for x: {x}, x_err: {x_err} -> {e}")
+        return np.nan
+
 
 
 def generate_error_dataframe(df: pd.DataFrame, datetime_var):