update bars

app.py

@@ -27,6 +27,9 @@ try:
     os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = os.path.join(os.path.dirname(__file__), 'credentials.json')
 except KeyError:  # running locally
     pass
+except Exception as e:
+    print(f"Error loading credentials: {e}")
+    pass
 
 iso = pd.read_csv('iso.tsv', sep='\t')
 iso['Alpha-2 code'] = iso['Alpha-2 code'].str.strip()
@@ -120,12 +123,12 @@ def full_report():
     country_df = country_df.sort_values(by=['jumps'], ascending=False)
     top_10_countries = country_df.iloc[:10]['country'].tolist()
 
-    country_df_to_plot = df.groupby(['country', 'iso', 'city']).sum().reset_index()
+    country_df_to_plot = df.groupby(['country', 'iso']).sum().reset_index()
     country_df_to_plot = country_df_to_plot[country_df_to_plot['country'].isin(top_10_countries)].reset_index(drop=True)
-    country_df_to_plot = country_df_to_plot.sort_values(by=['day', 'jumps'], ascending=True)
+    country_df_to_plot = country_df_to_plot.sort_values(by=['jumps'], ascending=True)
     total = px.bar(country_df_to_plot, 
                    y='country', x='jumps', 
-                   color='city',
+                   color='country',
                    title='Total Jumps by Country/City', 
                    orientation='h',
                    category_orders={'country': top_10_countries},
@@ -137,14 +140,14 @@ def full_report():
     city_df['city'] = city_df.apply(lambda row: row['city'] + ', ' + row['iso'], axis=1)
     top_10_cities = city_df.iloc[:10]['city'].tolist()
 
-    city_df = df.groupby(['city', 'iso', 'day']).sum().reset_index()
+    city_df = df.groupby(['city', 'iso']).sum().reset_index()
     city_df = city_df[city_df['city'] != '(not set)']
     city_df['city'] = city_df.apply(lambda row: row['city'] + ', ' + row['iso'], axis=1)
     city_df = city_df[city_df['city'].isin(top_10_cities)].reset_index(drop=True)
-    city_df = city_df.sort_values(by=['day', 'jumps'], ascending=True)
+    city_df = city_df.sort_values(by=['jumps'], ascending=True)
 
     avg = px.bar(city_df, 
-                 y='city', x='jumps', color='day',
+                 y='city', x='jumps', color='city',
                  title='Total Jumps by City/Day', 
                  orientation='h',
                  category_orders={'city': top_10_cities},