Update app.py

app.py

@@ -64,7 +64,7 @@ def geocode(address):
 #Side Bar
 address = st.sidebar.text_input(
     "Address", "Dallas, TX")
-date = st.sidebar.date_input("Loss Date",  pd.Timestamp(2021, 7, 14), key='date')
+date = st.sidebar.date_input("Loss Date",  pd.Timestamp(2023, 7, 14), key='date')
 df_hail=get_data()
 
 
@@ -83,7 +83,7 @@ df_hail_cut['Miles to Hail'] = [
 df_hail_cut['MAXSIZE'] = df_hail_cut['MAXSIZE'].round(2)
 
 df_hail_cut=df_hail_cut.query("`Miles to Hail`<10")
-df_hail_cut['Category']=np.where(df_hail_cut['Miles to Hail']<.1,"At Location",
+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",
                                   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'))))
@@ -103,10 +103,11 @@ for c in missing_cols:
 df_hail_cut_group2=df_hail_cut_group[cols_focus]  
 
 for i in range(3):
-    df_hail_cut_group2[cols_focus[i+1]]=np.where(df_hail_cut_group2[cols_focus[i+1]]<
-                                                 df_hail_cut_group2[cols_focus[i]],
-                                                 df_hail_cut_group2[cols_focus[i]],
-                                                 df_hail_cut_group2[cols_focus[i+1]])
+    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]],
+                                                   df_hail_cut_group2[cols_focus[i+1]])
+
 
 
 df_hail_cut_group2=df_hail_cut_group2.sort_index(ascending=False)