diff --git a/README.md b/README.md
index 2ca09a5..47a1bc8 100644
--- a/README.md
+++ b/README.md
@@ -82,6 +82,15 @@ sd.compile(
     full_validation=True,  # Optional: to save time, leave the default False value. If True, analyze consistency on modalities between columns.
     date_compile_auc="01/01/2022",  # Optional: useful when computing the drift for a time that is not now
     datadrift_file="datadrift_auc.csv",  # Optional: name of the csv file that contains the performance history of data drift
+    filter_column="name",  # Optional: Name of the column you wish to filter
+    filter_values=[
+        "France",
+        "Ottomans",
+        "Austria",
+        "Poland",
+        "Brandenburg",
+        "Bohemia",
+    ],  # Optional: Names of the values from the column you chose above that you wish to filter.
 )
 ```
 
diff --git a/eurybia/core/smartdrift.py b/eurybia/core/smartdrift.py
index ec21f75..d79ebef 100644
--- a/eurybia/core/smartdrift.py
+++ b/eurybia/core/smartdrift.py
@@ -198,6 +198,8 @@ def __init__(
     def compile(
         self,
         full_validation=False,
+        filter_column=None,
+        filter_values=None,
         ignore_cols: list = list(),
         sampling=True,
         sample_size=100000,
@@ -236,6 +238,10 @@ def compile(
         >>> SD.compile()
 
         """
+        print("FILTERING")
+        if filter_column and filter_values:
+            self.df_current = self.df_current[self.df_current[filter_column].isin(filter_values)]
+            self.df_baseline = self.df_baseline[self.df_baseline[filter_column].isin(filter_values)]
         if datadrift_file is not None:
             self.datadrift_file = datadrift_file
         if hyperparameter is not None: