Suggest to call  if wrong data is detected
@@ -312,7 +312,8 @@ class Frequency(object):
"""
increase = npy.diff(self.f) > 0
if not increase.all():
- warnings.warn("Frequency values are not monotonously increasing", InvalidFrequencyWarning)
+ warnings.warn("Frequency values are not monotonously increasing!\n"
+ "To get rid of the invalid values call `drop_invalid`", InvalidFrequencyWarning)
def drop_invalid(self) -> List[int]:
"""Drop duplicate and invalid frequency values and return the dropped indices
