[STATIONS] modify sheetname used for comparisons

experiment/meteo_france_data/stations_data/comparison_analysis.py

@@ -51,7 +51,8 @@ class ComparisonAnalysis(object):
     ##################### STATION ATTRIBUTES ############################
 
     def load_main_df(self):
-        df = pd.read_excel(DATA_PATH, sheet_name='max alpes 2500m presentes')
+        # this sheet name: Mean metrics 24.666666666666668 for the sheet name it was worse Mean metrics 36.022222222222226
+        df = pd.read_excel(DATA_PATH, sheet_name='max alpes')
         df = df.iloc[:78]
 
         ind_altitude = self.altitude - self.margin < df[ALTITUDE_COLUMN_NAME]

experiment/meteo_france_data/stations_data/main_spatial_comparison.py

@@ -66,6 +66,14 @@ I should find the "optimal" years to remove
 Then I should find a way to remove the same years in the study
 """
 
+def test_data():
+    s = ComparisonAnalysis(altitude=900)
+    df = s.load_main_df()
+    print(df)
+    print(df.columns)
+    print(len(df))
+
 if __name__ == '__main__':
-    run_comparison_for_optimal_parameters_for_altitude_900()
+    test_data()
+    # run_comparison_for_optimal_parameters_for_altitude_900()
     # choice_of_altitude_and_nb_border_data_to_remove_to_get_data_without_nan()

experiment/meteo_france_data/stations_data/main_station_comparison.py

@@ -44,8 +44,8 @@ def wrong_example2():
 
 if __name__ == '__main__':
     # visualize_fast_comparison()
-    # visualize_all_stations()
-    wrong_example2()
+    visualize_all_stations()
+    # wrong_example2()
     # visualize_non_nan_station()
     # example()
 

experiment/meteo_france_data/stations_data/visualization/comparisons_visualization/comparisons_visualization.py

@@ -67,6 +67,7 @@ class ComparisonsVisualization(VisualizationParameters):
                 massif_and_altitude_and_metric.append((massif, c.altitude, metric))
                 ax_idx += 1
         metrics = [t[-1] for t in massif_and_altitude_and_metric]
+        print('Mean metrics', np.mean(metrics))
         print('max', [t for t in massif_and_altitude_and_metric if t[-1] == max(metrics)])
         print('min', [t for t in massif_and_altitude_and_metric if t[-1] == min(metrics)])
         plt.suptitle(title)