Update app.py

app.py

@@ -98,11 +98,11 @@ df_hail_cut["Lon_address"] = lon
 df_hail_cut['Miles to Hail'] = [
     distance(i) for i in df_hail_cut[['LAT', 'LON', 'Lat_address', 'Lon_address']].values]
 df_hail_cut['MAXSIZE'] = df_hail_cut['MAXSIZE'].round(1)
-
 df_hail_cut = df_hail_cut.query("`Miles to Hail`<10")
 df_hail_cut['Category'] =  np.where(df_hail_cut['Miles to Hail'] < 1, "Within 1 Mile",
                                             np.where(df_hail_cut['Miles to Hail'] < 3, "Within 3 Miles",
-                                                     np.where(df_hail_cut['Miles to Hail'] < 10, "Within 10 Miles", 'Other')))
+                                             np.where( df_hail_cut['Miles to Hail'] < 5, "Within 5 Miles",
+                                                     np.where(df_hail_cut['Miles to Hail'] < 10, "Within 10 Miles", 'Other'))))
 
 df_hail_cut_group = pd.pivot_table(df_hail_cut, index='Date_utc',
                                    columns='Category',
@@ -110,7 +110,7 @@ df_hail_cut_group = pd.pivot_table(df_hail_cut, index='Date_utc',
                                    aggfunc='max')
 
 cols = df_hail_cut_group.columns
-cols_focus = [ "Within 1 Mile",
+cols_focus = [ "Within 1 Mile","Within 5 Miles",
               "Within 3 Miles", "Within 10 Miles"]
 
 missing_cols = set(cols_focus)-set(cols)
@@ -120,14 +120,14 @@ for c in missing_cols:
 df_hail_cut_group2 = df_hail_cut_group[cols_focus].query(
     "`Within 3 Miles`==`Within 3 Miles`")
 
-for i in range(2):
+for i in range(len(cols)):
     df_hail_cut_group2[cols_focus[i+1]] = np.where(df_hail_cut_group2[cols_focus[i+1]].fillna(0) <
-                                                   df_hail_cut_group2[cols_focus[i]].fillna(
-                                                       0),
+                                                   df_hail_cut_group2[cols_focus[i]].fillna(0),
                                                    df_hail_cut_group2[cols_focus[i]],
                                                    df_hail_cut_group2[cols_focus[i+1]])
 
 
+
 df_hail_cut_group2 = df_hail_cut_group2.sort_index(ascending=False)
 
 df_hail_cut_group2.index = pd.to_datetime(