ValueError: Time series must have a monotonic time index.

[bigbprp]

Code is as follows:

from adtk.transformer import ClassicSeasonalDecomposition
s_transformed = ClassicSeasonalDecomposition().fit_transform(s).rename("Seasonal decomposition residual")
plot(pd.concat([s, s_transformed], axis=1), ts_markersize=1);

my data frame has multiple numeric ( float & int columns with date as index ).

and I am getting following error:

ValueError Traceback (most recent call last)

in 1 from adtk.transformer import ClassicSeasonalDecomposition ----> 2 s_transformed = ClassicSeasonalDecomposition().fit_transform(s).rename("Seasonal decomposition residual") 3 plot(pd.concat([s, s_transformed], axis=1), ts_markersize=1); ~/jbooks/notebooks/lib/python3.6/site-packages/adtk/_transformer_base.py in fit_predict(self, ts) 94 95 """ ---> 96 self.fit(ts) 97 return self.predict(ts) 98 ~/jbooks/notebooks/lib/python3.6/site-packages/adtk/_transformer_base.py in fit(self, ts) 47 48 """ ---> 49 self._fit(ts) 50 51 def predict( ~/jbooks/notebooks/lib/python3.6/site-packages/adtk/_base.py in _fit(self, ts) 172 # fit model for each column 173 for col in df.columns: --> 174 self._models[col].fit(df[col]) 175 self._fitted = 2 176 else: ~/jbooks/notebooks/lib/python3.6/site-packages/adtk/_transformer_base.py in fit(self, ts) 47 48 """ ---> 49 self._fit(ts) 50 51 def predict( ~/jbooks/notebooks/lib/python3.6/site-packages/adtk/_base.py in _fit(self, ts) 152 if isinstance(ts, pd.Series): 153 s = ts.copy() # type: pd.Series --> 154 self._fit_core(s) 155 self._fitted = 1 156 elif isinstance(ts, pd.DataFrame): ~/jbooks/notebooks/lib/python3.6/site-packages/adtk/transformer/_transformer_1d.py in _fit_core(self, s) 684 s.index.is_monotonic_increasing or s.index.is_monotonic_decreasing 685 ): --> 686 raise ValueError("Time series must have a monotonic time index. ") 687 # remove starting and ending nans 688 s = s.loc[s.first_valid_index() : s[::-1].first_valid_index()].copy() ValueError: Time series must have a monotonic time index. Any help is highly appreciated...

[tailaiw]

For your input s, what does s.index.is_monotonic give you?

[bigbprp]

I am getting false for s.index.is_monotonic.. not sure.. what am I missing... for details review below screen capture...

[tailaiw]

That means the Series index is not monotonic. You need to make sure your Series index is DatetimeIndex and it is monotonic. adtk.data.validate_series may be helpful to you.

[bigbprp]

Thank you for your inputs.. my date column has duplicate as it's without timestamp... I mean without hours or minutes or seconds...

As per business requirements that is a valid scenario... also anomaly detection is on monthly transaction basis so I am confused how to proceed... Any help is highly appreciated

[bigbprp]

@tailaiw, thank you very much for guidance.. .I just created a new Data-frame with group-by on dates & started analyzing... appreciate your timely response... so taking a small break helped..