further removal of pandas series

assume/common/fds.py

@@ -87,7 +87,7 @@ def get_date_list(self, start=None, end=None):
         return [start + i * self.freq for i in range(hour_count)]
 
     def get_idx_from_date(self, date: datetime):
-        if not date:
+        if date is None:
             return None
         idx = (date - self.start) / self.freq
         # todo check if modulo is 0 - else this is not a valid multiple of freq

assume/units/demand.py

@@ -104,7 +104,7 @@ def calculate_min_max_power(
             tuple[pandas.Series, pandas.Series]: The bid colume as both the minimum and maximum power output of the unit.
         """
         end_excl = end - self.index.freq
-        bid_volume = self.index.copy_empty(
+        bid_volume = FastDatetimeSeries(start, end_excl, self.index.freq,
             self.volume[start:end_excl] - self.outputs[product_type][start:end_excl]
         )
         return bid_volume, bid_volume

assume/units/powerplant.py

@@ -145,14 +145,9 @@ def execute_current_dispatch(
         """
         start = max(start, self.index.start)
 
-        max_power = FastDatetimeSeries(
-            start,
-            end,
-            self.index.freq,
-            self.forecaster.get_availability(self.id)[start:end] * self.max_power,
-        )
-
-        for t in self.outputs["energy"].get_date_list(start, end):
+        max_power = self.forecaster.get_availability(self.id)[start:end] * self.max_power
+
+        for idx, t in enumerate(self.outputs["energy"].get_date_list(start, end)):
             current_power = self.outputs["energy"].at[t]
 
             previous_power = self.get_output_before(t)
@@ -161,7 +156,7 @@ def execute_current_dispatch(
             current_power = self.calculate_ramp(op_time, previous_power, current_power)
 
             if current_power > 0:
-                current_power = min(current_power, max_power[t])
+                current_power = min(current_power, max_power[idx])
                 current_power = max(current_power, self.min_power)
 
             self.outputs["energy"].at[t] = current_power
@@ -180,11 +175,8 @@ def set_dispatch_plan(
             marketconfig (MarketConfig): The market configuration.
             orderbook (Orderbook): The orderbook.
         """
-        products_index = list(get_products_index(orderbook))
-
-        max_power = self.index.copy_empty(
-            self.forecaster.get_availability(self.id)[products_index] * self.max_power
-        )
+        products_index = get_products_index(orderbook)
+        max_power = self.forecaster.get_availability(self.id)[list(products_index)] * self.max_power
 
         product_type = marketconfig.product_type
         for order in orderbook:
@@ -203,7 +195,7 @@ def set_dispatch_plan(
 
         self.calculate_cashflow(product_type, orderbook)
 
-        for start in products_index:
+        for idx, start in enumerate(products_index):
             current_power = self.outputs[product_type].at[start]
 
             previous_power = self.get_output_before(start)
@@ -212,7 +204,7 @@ def set_dispatch_plan(
             current_power = self.calculate_ramp(op_time, previous_power, current_power)
 
             if current_power > 0:
-                current_power = min(current_power, max_power[start])
+                current_power = min(current_power, max_power[idx])
                 current_power = max(current_power, self.min_power)
 
             self.outputs[product_type].at[start] = current_power

examples/world_script.py

@@ -33,6 +33,7 @@ def init(world, n=1):
     marketdesign = [
         MarketConfig(
             market_id="EOM",
+
             opening_hours=rr.rrule(
                 rr.HOURLY, interval=24, dtstart=start, until=end, cache=True
             ),