Update app.py

app.py

@@ -100,10 +100,9 @@ df_hail_cut['Miles to Hail'] = [
 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'] < .25, "At Location",
-                                   np.where(df_hail_cut['Miles to Hail'] < 1, "Within 1 Mile",
+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'] < 10, "Within 10 Miles", 'Other')))
 
 df_hail_cut_group = pd.pivot_table(df_hail_cut, index='Date_utc',
                                    columns='Category',
@@ -111,7 +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 = ['At Location', "Within 1 Mile",
+cols_focus = [ "Within 1 Mile",
               "Within 3 Miles", "Within 10 Miles"]
 
 missing_cols = set(cols_focus)-set(cols)