Resolve "release v1.4.0"

Closes #317 (closed)

mlair/data_handler/data_handler_mixed_sampling.py

@@ -205,9 +205,9 @@ class DataHandlerSeparationOfScalesSingleStation(DataHandlerMixedSamplingWithFil
         """
         window = -abs(window)
         data = self.input_data
-        self.history = self.stride(data, dim_name_of_shift, window)
+        self.history = self.stride(data, dim_name_of_shift, window, offset=self.window_history_offset)
 
-    def stride(self, data: xr.DataArray, dim: str, window: int) -> xr.DataArray:
+    def stride(self, data: xr.DataArray, dim: str, window: int, offset: int = 0) -> xr.DataArray:
 
         # this is just a code snippet to check the results of the kz filter
         # import matplotlib
@@ -218,12 +218,13 @@ class DataHandlerSeparationOfScalesSingleStation(DataHandlerMixedSamplingWithFil
         time_deltas = np.round(self.time_delta(self.cutoff_period)).astype(int)
         start, end = window, 1
         res = []
-        window_array = self.create_index_array(self.window_dim, range(start, end), squeeze_dim=self.target_dim)
+        _range = list(map(lambda x: x + offset, range(start, end)))
+        window_array = self.create_index_array(self.window_dim, _range, squeeze_dim=self.target_dim)
         for delta, filter_name in zip(np.append(time_deltas, 1), data.coords["filter"]):
             res_filter = []
             data_filter = data.sel({"filter": filter_name})
-            for w in range(start, end):
-                res_filter.append(data_filter.shift({dim: -w * delta}))
+            for w in _range:
+                res_filter.append(data_filter.shift({dim: -(w - offset) * delta - offset}))
             res_filter = xr.concat(res_filter, dim=window_array).chunk()
             res.append(res_filter)
         res = xr.concat(res, dim="filter").compute()