refactor!: migrate clustering from tsam to tsam_xarray

flixopt/clustering/__init__.py

@@ -22,16 +22,11 @@
     print(f'Dims: {clustering.dims}')  # e.g., ('period', 'scenario')
     print(f'Coords: {clustering.coords}')  # e.g., {'period': [2024, 2025]}
 
-    # Access tsam AggregationResult for detailed analysis
+    # Access tsam_xarray AggregationResult for detailed analysis
     # NOTE: Only available BEFORE saving/loading. Lost after IO.
-    result = clustering.sel(period=2024, scenario='high')
-    result.cluster_representatives  # DataFrame with aggregated time series
+    result = clustering.aggregation_result
+    result.cluster_representatives  # DataArray with aggregated time series
     result.accuracy  # AccuracyMetrics (rmse, mae)
-    result.plot.compare()  # tsam's built-in comparison plot
-
-    # Iterate over all results (only before IO)
-    for key, result in clustering.items():
-        print(f'{key}: {result.n_clusters} clusters')
 
     # Save and load - structure preserved, AggregationResult access lost
     fs_clustered.to_netcdf('system.nc')