feat: ✨ working PoC

modules/__init__.py

@@ -1,3 +1,4 @@
 from .nimrod import Nimrod
 from .batch_nimrod import BatchNimrod
-from .generate_timeseries import GenerateTimeseries
+from .generate_timeseries import GenerateTimeseries
+from .combine_timeseries import CombineTimeseries

modules/combine_timeseries.py

@@ -0,0 +1,34 @@
+import pandas as pd
+
+class CombineTimeseries:
+    def __init__(self, config, locations):
+        self.config = config
+        self.locations = locations
+        self.grouped_locations = {}
+        self.build_location_groups()
+
+    
+    def build_location_groups(self):
+        for location in self.locations:
+            group = location[4]  # output group is at index 4
+            if group not in self.grouped_locations:
+                self.grouped_locations[group] = []
+            self.grouped_locations[group].append(location)
+
+    
+    
+    def combine_csv_files(self):
+        for group, loc_list in self.grouped_locations.items():
+            print(f"Group {group}:")
+            combined_df = None
+            for loc in loc_list:
+                csv_to_load = f'./csv_files/{loc[0]}_timeseries_data.csv'
+                df = pd.read_csv(csv_to_load, index_col=0)
+                if combined_df is None:
+                    combined_df = df
+                else:
+                    combined_df = combined_df.join(df, how='inner')
+            output_file = f'{self.config.COMBINED_FOLDER}/group_{group}_timeseries_data.csv'
+            combined_df.to_csv(output_file)
+
+

modules/generate_timeseries.py

@@ -45,7 +45,7 @@ class GenerateTimeseries:
         ncols_basin = 2  # hardcoded, likely to change?
 
         cellres_radar = radar_header[4]
-        cellres_basin = basin_header[4]
+        cellres_basin = 1000 # 1km
 
         xp = x0_basin - x0_radar
         yp = y0_basin - y0_radar