diff --git a/fractalis/data/etls/picsure/picsure_etl_categorical.py b/fractalis/data/etls/picsure/picsure_etl_categorical.py
index b2d8f27723ee27a193bc70930ff5744410cfafea..c0e827c0142edf06324b24f236a3f7ab8444f077 100644
--- a/fractalis/data/etls/picsure/picsure_etl_categorical.py
+++ b/fractalis/data/etls/picsure/picsure_etl_categorical.py
@@ -30,7 +30,8 @@ class CategoricalETL(ETL):
             result_id=result_id, server=server, token=token)
         return raw_data
 
-    def transform(self, raw_data: List[dict], descriptor: dict) -> pd.DataFrame:
+    def transform(self, raw_data: List[dict],
+                  descriptor: dict) -> pd.DataFrame:
         df = pd.read_csv(StringIO(raw_data))
         feature = df.columns[1]
         df.columns = ['id', 'value']
diff --git a/fractalis/data/etls/picsure/picsure_etl_numerical.py b/fractalis/data/etls/picsure/picsure_etl_numerical.py
index 7056f9831739e12f53ad58ea25c971989e27f1fe..41f462bd3244ab4a24346557adec7913f2f72610 100644
--- a/fractalis/data/etls/picsure/picsure_etl_numerical.py
+++ b/fractalis/data/etls/picsure/picsure_etl_numerical.py
@@ -30,7 +30,8 @@ class NumericalETL(ETL):
             result_id=result_id, server=server, token=token)
         return raw_data
 
-    def transform(self, raw_data: List[dict], descriptor: dict) -> pd.DataFrame:
+    def transform(self, raw_data: List[dict],
+                  descriptor: dict) -> pd.DataFrame:
         df = pd.read_csv(StringIO(raw_data))
         feature = df.columns[1]
         df.columns = ['id', 'value']