diff --git a/saqc/funcs/functions.py b/saqc/funcs/functions.py
index 1821c7db53520cf96de85eae6b4eb0db0612acde..66ea41e38e34b3ee8015f7f836e5388db5af4a20 100644
--- a/saqc/funcs/functions.py
+++ b/saqc/funcs/functions.py
@@ -196,7 +196,7 @@ def flagManual(data, field, flagger, mdata, mflag: Any = 1, method='plain', **kw
         It also determine the column in mdata if its of type pd.Dataframe or dios.DictOfSeries.
 
     flagger : flagger
-
+range_dict.keys()
     mdata : {pd.Series, pd.Dataframe, DictOfSeries, str}
         The manual data
 
diff --git a/saqc/funcs/spikes_detection.py b/saqc/funcs/spikes_detection.py
index 0f1f3a6177851f470896f1a94906d8b00992fb1e..3f5f714a5d09ed0d54bd34be226c1f15e7897dc3 100644
--- a/saqc/funcs/spikes_detection.py
+++ b/saqc/funcs/spikes_detection.py
@@ -742,7 +742,5 @@ def spikes_flagGrubbs(data, field, flagger, winsz, alpha=0.05, min_periods=8, **
         if partition.shape[0] > min_periods:
             to_flag = smirnov_grubbs.two_sided_test_indices(partition['data'].values, alpha=alpha)
             to_flag = partition['ts'].iloc[to_flag]
-            if not to_flag.empty:
-                print(to_flag)
             flagger = flagger.setFlags(field, loc=to_flag, **kwargs)
     return data, flagger