fixed correct process parameter for parsing of xml for query_load

added query_load_and_forecast as a helper function
fixes #140

README.md

@@ -95,8 +95,6 @@ type_marketagreement_type = 'A01'
 # methods that return Pandas Series
 client.query_day_ahead_prices(country_code, start=start,end=end)
 client.query_net_position_dayahead(country_code, start=start, end=end)
-client.query_load(country_code, start=start,end=end)
-client.query_load_forecast(country_code, start=start,end=end)
 client.query_crossborder_flows(country_code_from, country_code_to, start, end)
 client.query_scheduled_exchanges(country_code_from, country_code_to, start, end, dayahead=False)
 client.query_net_transfer_capacity_dayahead(country_code_from, country_code_to, start, end)
@@ -106,6 +104,9 @@ client.query_net_transfer_capacity_yearahead(country_code_from, country_code_to,
 client.query_intraday_offered_capacity(country_code_from, country_code_to, start, end,implicit=True)
 
 # methods that return Pandas DataFrames
+client.query_load(country_code, start=start,end=end)
+client.query_load_forecast(country_code, start=start,end=end)
+client.query_load_and_forecast(country_code, start=start, end=end)
 client.query_generation_forecast(country_code, start=start,end=end)
 client.query_wind_and_solar_forecast(country_code, start=start,end=end, psr_type=None)
 client.query_generation(country_code, start=start,end=end, psr_type=None)

entsoe/entsoe.py

@@ -966,7 +966,7 @@ def query_load(self, country_code: Union[Area, str], start: pd.Timestamp,
         area = lookup_area(country_code)
         text = super(EntsoePandasClient, self).query_load(
             country_code=area, start=start, end=end)
-        series = parse_loads(text)
+        series = parse_loads(text, process_type='A16')
         series = series.tz_convert(area.tz)
         series = series.truncate(before=start, after=end)
         return series
@@ -996,6 +996,27 @@ def query_load_forecast(
         df = df.truncate(before=start, after=end)
         return df
 
+    def query_load_and_forecast(
+            self, country_code: Union[Area, str], start: pd.Timestamp,
+            end: pd.Timestamp) -> pd.DataFrame:
+        """
+        utility function to combina query realised load and forecasted day ahead load.
+        this mimics the html view on the page Total Load - Day Ahead / Actual
+
+        Parameters
+        ----------
+        country_code : Area|str
+        start : pd.Timestamp
+        end : pd.Timestamp
+
+        Returns
+        -------
+        pd.DataFrame
+        """
+        df_load_forecast_da = self.query_load_forecast(country_code, start=start, end=end)
+        df_load = self.query_load(country_code, start=start, end=end)
+        return df_load_forecast_da.join(df_load, sort=True, how='inner')
+
 
     @year_limited
     def query_generation_forecast(