diff --git a/machine_learning/labels.py b/machine_learning/labels.py
index 6e17c3e..7f30478 100644
--- a/machine_learning/labels.py
+++ b/machine_learning/labels.py
@@ -9,7 +9,7 @@ from pyprojroot import here
 import participants.query_db
 from features import esm
 from machine_learning import QUESTIONNAIRE_IDS, QUESTIONNAIRE_IDS_RENAME
-from machine_learning.helper import to_csv_with_settings, read_csv_with_settings
+from machine_learning.helper import read_csv_with_settings, to_csv_with_settings
 
 WARNING_PARTICIPANTS_LABEL = (
     "Before aggregating labels, please set participants label using self.set_participants_label() "
@@ -88,7 +88,7 @@ class Labels:
                 self.folder,
                 self.filename_prefix,
                 data_type="_".join(self.questionnaires),
-                grouping_variable=self.grouping_variable
+                grouping_variable=self.grouping_variable,
             )
             print("Read labels from the file.")
         except FileNotFoundError:
diff --git a/test/test_esm.py b/test/test_esm.py
index ddfee37..065bcf2 100644
--- a/test/test_esm.py
+++ b/test/test_esm.py
@@ -1,6 +1,7 @@
 import unittest
 
 from pandas.testing import assert_series_equal
+from pyprojroot import here
 
 from features.esm import *
 from features.esm_JCQ import *
@@ -9,7 +10,7 @@ from features.esm_JCQ import *
 class EsmFeatures(unittest.TestCase):
     @classmethod
     def setUpClass(cls) -> None:
-        cls.esm = pd.read_csv("../data/example_esm.csv", sep=";")
+        cls.esm = pd.read_csv(here("data/example_esm.csv"), sep=";")
         cls.esm["esm_json"] = cls.esm["esm_json"].apply(eval)
         cls.esm_processed = preprocess_esm(cls.esm)
         cls.esm_clean = clean_up_esm(cls.esm_processed)
diff --git a/test/test_features_sensor.py b/test/test_features_sensor.py
index 3a9a215..8474f9b 100644
--- a/test/test_features_sensor.py
+++ b/test/test_features_sensor.py
@@ -18,8 +18,10 @@ class SensorFeaturesTest(unittest.TestCase):
         self.assertIsInstance(sensor_features_params, dict)
         self.assertIsInstance(sensor_features_params.get("grouping_variable"), str)
         self.assertIsInstance(sensor_features_params.get("features"), dict)
-        self.assertIsInstance(sensor_features_params.get("participants_usernames"), list)
+        self.assertIsInstance(
+            sensor_features_params.get("participants_usernames"), list
+        )
 
     def test_participants_label(self):
         sensor_features = SensorFeatures(**self.sensor_features_params)
-        self.assertRaises(ValueError, sensor_features.calculate_features)
\ No newline at end of file
+        self.assertRaises(ValueError, sensor_features.calculate_features)
diff --git a/test/test_proximity.py b/test/test_proximity.py
index 18fbf09..ec8da87 100644
--- a/test/test_proximity.py
+++ b/test/test_proximity.py
@@ -1,5 +1,7 @@
 import unittest
 
+from pyprojroot import here
+
 from features.proximity import *
 
 
@@ -10,7 +12,7 @@ class ProximityFeatures(unittest.TestCase):
 
     @classmethod
     def setUpClass(cls) -> None:
-        cls.df_proximity = pd.read_csv("../data/example_proximity.csv")
+        cls.df_proximity = pd.read_csv(here("data/example_proximity.csv"))
         cls.df_proximity["participant_id"] = 99
 
     def test_recode_proximity(self):