Udate

src/structures/gim.py

@@ -1,5 +1,6 @@
 import pandas as pd
 from pathlib import Path
+from ..styles import highlight_color
 
 # Define the absolute path to the file
 abs_path = Path(__file__).parent.parent.parent
@@ -38,5 +39,5 @@ def load_json_data(file_path):
 file_path = str(abs_path / "leaderboards/all_types_years.json")
 GIM_SCORES = load_json_data(file_path)
 GIM_SCORES = GIM_SCORES.style.highlight_max(
-    color = '#E52713',
+    color = highlight_color,
     subset=GIM_SCORES.columns[-18:]).format(precision=2)

src/structures/mat.py

@@ -1,5 +1,6 @@
 import pandas as pd
 from pathlib import Path
+from ..styles import highlight_color
 
 # Define the absolute path to the file
 abs_path = Path(__file__).parent.parent.parent
@@ -38,5 +39,5 @@ def load_json_data(file_path):
 file_path = str(abs_path / "leaderboards/all_types_years.json")
 MAT_SCORES = load_json_data(file_path)
 MAT_SCORES = MAT_SCORES.style.highlight_max(
-    color = '#E52713',
+    color = highlight_color,
     subset=MAT_SCORES.columns[-22:]).format(precision=2)

src/structures/osm.py

@@ -1,5 +1,6 @@
 import pandas as pd
 from pathlib import Path
+from ..styles import highlight_color
 
 # Define the absolute path to the file
 abs_path = Path(__file__).parent.parent.parent
@@ -38,5 +39,5 @@ def load_json_data(file_path):
 file_path = str(abs_path / "leaderboards/all_types_years.json")
 OSM_SCORES = load_json_data(file_path)
 OSM_SCORES = OSM_SCORES.style.highlight_max(
-    color = '#E52713',
+    color = highlight_color,
     subset=OSM_SCORES.columns[-5:]).format(precision=2)

src/structures/zaw.py

@@ -1,5 +1,6 @@
 import pandas as pd
 from pathlib import Path
+from ..styles import highlight_color
 
 # Define the absolute path to the file
 abs_path = Path(__file__).parent.parent.parent
@@ -38,5 +39,5 @@ def load_json_data(file_path):
 file_path = str(abs_path / "leaderboards/all_types_years.json")
 ZAW_SCORES = load_json_data(file_path)
 ZAW_SCORES = ZAW_SCORES.style.highlight_max(
-    color = '#E52713',
+    color = highlight_color,
     subset=ZAW_SCORES.columns[-12:]).format(precision=2)