Add resampling of heat pump time series to EDisGo resampling

edisgo/edisgo.py

@@ -2359,7 +2359,10 @@ def resample_timeseries(
         self, method: str = "ffill", freq: str | pd.Timedelta = "15min"
     ):
         """
-        Resamples all generator, load and storage time series to a desired resolution.
+        Resamples time series data in
+        :class:`~.network.timeseries.TimeSeries` and :class:`~.network.heat.HeatPump`.
+
+        Both up- and down-sampling methods are possible.
 
         The following time series are affected by this:
 
@@ -2375,7 +2378,9 @@ def resample_timeseries(
 
         * :attr:`~.network.timeseries.TimeSeries.storage_units_reactive_power`
 
-        Both up- and down-sampling methods are possible.
+        * :attr:`~.network.heat.HeatPump.cop_df`
+
+        * :attr:`~.network.heat.HeatPump.heat_demand_df`
 
         Parameters
         ----------
@@ -2402,6 +2407,7 @@ def resample_timeseries(
 
         """
         self.timeseries.resample_timeseries(method=method, freq=freq)
+        self.heat_pump.resample_timeseries(method=method, freq=freq)
 
 
 def import_edisgo_from_pickle(filename, path=""):

tests/test_edisgo.py

@@ -1536,6 +1536,22 @@ def test_check_integrity(self, caplog):
             )
             caplog.clear()
 
+    def test_resample_timeseries(self):
+        self.setup_worst_case_time_series()
+        self.edisgo.resample_timeseries()
+        assert len(self.edisgo.timeseries.loads_active_power) == 16
+
+        self.edisgo.heat_pump.cop_df = pd.DataFrame(
+            data={
+                "hp1": [5.0, 6.0],
+                "hp2": [7.0, 8.0],
+            },
+            index=pd.date_range("1/1/2011 12:00", periods=2, freq="H"),
+        )
+        self.edisgo.resample_timeseries(freq="30min")
+        assert len(self.edisgo.timeseries.loads_active_power) == 8
+        assert len(self.edisgo.heat_pump.cop_df) == 4
+
 
 class TestEDisGoFunc:
     def test_import_edisgo_from_files(self):