Multivariate Anomaly Dectector (Error when running tutorial) about kats HOT 5 OPEN

       if len(time_diff.unique()) == 1:  # check constant frequenccy
            freq = time_diff.unique()[0].astype("int")
            self.granularity_days = freq / (24 * 3600 * (10 ** 9))
        else:
            raise RuntimeError(
                "Frequency of metrics is not constant."
                "Please check for missing or duplicate values"
            )

`
~\anaconda3\lib\site-packages\pandas\_libs\index.pyx in pandas._libs.index.DatetimeEngine.get_loc()

pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()

pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()

KeyError: 1575417598142906000

During handling of the above exception, another exception occurred:

KeyError                                  Traceback (most recent call last)
~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
   3360             try:
-> 3361                 return self._engine.get_loc(casted_key)
   3362             except KeyError as err:

~\anaconda3\lib\site-packages\pandas\_libs\index.pyx in pandas._libs.index.DatetimeEngine.get_loc()

~\anaconda3\lib\site-packages\pandas\_libs\index.pyx in pandas._libs.index.DatetimeEngine.get_loc()

KeyError: Timestamp('2019-12-03 23:59:58.142906')

The above exception was the direct cause of the following exception:

KeyError                                  Traceback (most recent call last)
~\anaconda3\lib\site-packages\pandas\core\indexes\datetimes.py in get_loc(self, key, method, tolerance)
    701         try:
--> 702             return Index.get_loc(self, key, method, tolerance)
    703         except KeyError as err:

~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
   3362             except KeyError as err:
-> 3363                 raise KeyError(key) from err
   3364 

KeyError: Timestamp('2019-12-03 23:59:58.142906')

The above exception was the direct cause of the following exception:

KeyError                                  Traceback (most recent call last)
<ipython-input-51-5b7def4515a6> in <module>
      1 params = VARParams(maxlags=2)
      2 d = MultivariateAnomalyDetector(multi_anomaly_ts, params, training_days=40)
----> 3 anomaly_score_df = d.detector()
      4 d.plot()

~\anaconda3\lib\site-packages\kats\detectors\outlier.py in detector(self)
    300         while fcstTime < self.df.index.max():
    301             # forecast for fcstTime+ 1
--> 302             pred_df = self._generate_forecast(fcstTime)
    303             # calculate anomaly scores
    304             anomaly_scores_t = self._calc_anomaly_scores(pred_df)

~\anaconda3\lib\site-packages\kats\detectors\outlier.py in _generate_forecast(self, t)
    244             "index"
    245         )
--> 246         test = self.df.loc[t + dt.timedelta(days=self.granularity_days), :]
    247         pred_df["actual"] = test
    248 

~\anaconda3\lib\site-packages\pandas\core\indexing.py in __getitem__(self, key)
    923                 with suppress(KeyError, IndexError):
    924                     return self.obj._get_value(*key, takeable=self._takeable)
--> 925             return self._getitem_tuple(key)
    926         else:
    927             # we by definition only have the 0th axis

~\anaconda3\lib\site-packages\pandas\core\indexing.py in _getitem_tuple(self, tup)
   1098     def _getitem_tuple(self, tup: tuple):
   1099         with suppress(IndexingError):
-> 1100             return self._getitem_lowerdim(tup)
   1101 
   1102         # no multi-index, so validate all of the indexers

~\anaconda3\lib\site-packages\pandas\core\indexing.py in _getitem_lowerdim(self, tup)
    836                 # We don't need to check for tuples here because those are
    837                 #  caught by the _is_nested_tuple_indexer check above.
--> 838                 section = self._getitem_axis(key, axis=i)
    839 
    840                 # We should never have a scalar section here, because

~\anaconda3\lib\site-packages\pandas\core\indexing.py in _getitem_axis(self, key, axis)
   1162         # fall thru to straight lookup
   1163         self._validate_key(key, axis)
-> 1164         return self._get_label(key, axis=axis)
   1165 
   1166     def _get_slice_axis(self, slice_obj: slice, axis: int):

~\anaconda3\lib\site-packages\pandas\core\indexing.py in _get_label(self, label, axis)
   1111     def _get_label(self, label, axis: int):
   1112         # GH#5667 this will fail if the label is not present in the axis.
-> 1113         return self.obj.xs(label, axis=axis)
   1114 
   1115     def _handle_lowerdim_multi_index_axis0(self, tup: tuple):

~\anaconda3\lib\site-packages\pandas\core\generic.py in xs(self, key, axis, level, drop_level)
   3771                 raise TypeError(f"Expected label or tuple of labels, got {key}") from e
   3772         else:
-> 3773             loc = index.get_loc(key)
   3774 
   3775             if isinstance(loc, np.ndarray):

~\anaconda3\lib\site-packages\pandas\core\indexes\datetimes.py in get_loc(self, key, method, tolerance)
    702             return Index.get_loc(self, key, method, tolerance)
    703         except KeyError as err:
--> 704             raise KeyError(orig_key) from err
    705 
    706     def _maybe_cast_for_get_loc(self, key) -> Timestamp:

KeyError: Timestamp('2019-12-03 23:59:58.142906')

multi_ts is a dataset with 'time' as time series object, created using pd.to_datetime(multi_ts['time']
/Documents/personal/resume/test.ipynb Cell 80' in <cell line: 10>()