add some basic analysis

example/download_dataset.py

@@ -13,17 +13,19 @@ topology = load_dataset('CelfAI/COOPER','topology')
 topology_data = topology['main'].to_pandas()
 
 
-#### Join Measurements by cell and Topology ###
-all_data = pd.merge(measurements_by_cell_data, topology_data, on='LocalCellName', how='left')
-
 
 ### Performance indicators meanings ###
 performance_indicators_meanings = load_dataset('CelfAI/COOPER','performance_indicators_meanings')
 performance_indicators_meanings_data = performance_indicators_meanings['main'].to_pandas()
 
+#### Optionally Join Measurements by cell and Topology ###
+all_data = pd.merge(measurements_by_cell_data, topology_data, on='LocalCellName', how='left')
+pm_columns=[x for x in measurements_by_cell_data.columns.tolist() if x not in ['LocalCellName', 'datetime']]
 
+mean_by_cell= measurements_by_cell_data.groupby('LocalCellName')[pm_columns].mean().reset_index()
+min_by_cell= measurements_by_cell_data.groupby('LocalCellName')[pm_columns].min().reset_index()
 
-
-
+mean_by_band= all_data.groupby('Band')[pm_columns].mean().reset_index()
+mean_by_site= all_data.groupby('SiteLabel')[pm_columns].mean().reset_index()