reverse color scale

app.py

@@ -116,12 +116,12 @@ def full_report():
                  title='Average Jumps per Daily Session', 
                  template="plotly_dark")
 
-    country_df['rank'] = country_df['jumps'].rank(ascending=True)
+    country_df['rank'] = country_df['jumps'].rank(ascending=False)
     total_map = px.choropleth(country_df, locations="iso",
                                 color="rank", 
                                 hover_name="country", # column to add to hover information
                                 hover_data=["jumps"],
-                                color_continuous_scale ="YlOrRd",
+                                color_continuous_scale ="YlOrRd_r",
                                 projection='natural earth',
                                 template="plotly_dark")
     # remove the legend
@@ -132,9 +132,9 @@ def full_report():
     county_df['county'] = county_df['city'].map(city_county_map)
     county_df['count_name'] = county_df['city'].map(city_county_name_map)
     county_df = county_df.groupby(['county', 'count_name']).sum().reset_index()
-    county_df['rank'] = county_df['jumps'].rank(ascending=True)
+    county_df['rank'] = county_df['jumps'].rank(ascending=False)
     county_map = px.choropleth(county_df, geojson=counties, locations='county', color='rank',
-                           color_continuous_scale="YlOrRd",
+                           color_continuous_scale="YlOrRd_r",
                            scope="usa",
                            hover_name="count_name",
                             hover_data=["jumps"],