Create filter_helpers.py

helper/filter_helpers.py

@@ -0,0 +1,31 @@
+# helpers/filter_helpers.py
+
+def apply_filters(
+    df,
+    filters=None
+):
+    """
+    Generic filtering helper.
+
+    Example filters:
+    {
+        "sourcing_channel": ["Digital"],
+        "fico_band": ["651-700", "701-750"]
+    }
+    """
+
+    if filters is None:
+        return df
+
+    filtered_df = df.copy()
+
+    for col, values in filters.items():
+
+        if not isinstance(values, list):
+            values = [values]
+
+        filtered_df = filtered_df[
+            filtered_df[col].isin(values)
+        ]
+
+    return filtered_df