diff --git a/Handle_emg_data.py b/Handle_emg_data.py
index f194ee9..695b678 100644
--- a/Handle_emg_data.py
+++ b/Handle_emg_data.py
@@ -443,6 +443,7 @@ class CSV_handler:
         self.data_type = 'soft'
         return self.data_container_dict
 
+    # Retrieves df via the data_dict in the handler object
     def get_df_from_data_dict(self, subject_nr, which_arm, round, emg_nr):
         data_type = self.data_type
         container = self.data_container_dict.get(subject_nr)
diff --git a/Signal_prep.py b/Signal_prep.py
index 2c98681..fc43388 100644
--- a/Signal_prep.py
+++ b/Signal_prep.py
@@ -71,9 +71,8 @@ def inverse_wavelet(df, cA_filt, cD_filt):
     return y_new_values
 
 # Takes in handler and detailes to denoise. Returns arrays and df
-def denoice_dataset(handler:Handler.CSV_handler, subject_nr, which_arm, emg_nr, round):
-    
-    print(df.head)
+def denoice_dataset(handler:Handler.CSV_handler, subject_nr, which_arm, round, emg_nr):
+    df = handler.get_df_from_data_dict(subject_nr, which_arm, round, emg_nr)
 
     N = get_xory_from_df('x', df)
     N_trans, cA, cD = wavelet_db4_denoising(df)