Update app.py

app.py

@@ -40,38 +40,38 @@ def geocode(address):
     return pd.DataFrame({'Lat': lat, 'Lon': lon}, index=[0])
 
 
-def get_data(row, col, radius=8):
-    files = [
-        "data/2023_hail.h5",
-        "data/2022_hail.h5",
-        "data/2021_hail.h5",
-        "data/2020_hail.h5"
-    ]
-    all_data = []
-    all_dates = []
-    for f in files:
-        with h5py.File(f, 'r') as f:
-            data = f['hail'][:, row - radius: row + radius+ 1,   col-radius: col+radius+1]
-            dates = f['dates'][:]
-            all_data.append(data)
-            all_dates.append(dates)
-
-    data_mat = np.concatenate(all_data)
-    data_mat = np.where(data_mat < 0, 0, data_mat)*0.0393701
-    dates_mat = np.concatenate(all_dates)
-
-    data_actual = [i[radius, radius] for i in data_mat]
-    data_max = np.max(data_mat, axis=(1, 2))
-    data_max_2 = np.max(data_mat, axis=0)
-
-    df = pd.DataFrame({'Date': dates_mat,
-                       'Actual': data_actual,
-                      'Max': data_max})
-
-    df['Date'] = pd.to_datetime(df['Date'], format='%Y%m%d')
-    df['Date']=df['Date']+pd.Timedelta(days=1)
-
-    return df, data_max_2
+# def get_data(row, col, radius=8):
+#     files = [
+#         "data/2023_hail.h5",
+#         "data/2022_hail.h5",
+#         "data/2021_hail.h5",
+#         "data/2020_hail.h5"
+#     ]
+#     all_data = []
+#     all_dates = []
+#     for f in files:
+#         with h5py.File(f, 'r') as f:
+#             data = f['hail'][:, row - radius: row + radius+ 1,   col-radius: col+radius+1]
+#             dates = f['dates'][:]
+#             all_data.append(data)
+#             all_dates.append(dates)
+
+#     data_mat = np.concatenate(all_data)
+#     data_mat = np.where(data_mat < 0, 0, data_mat)*0.0393701
+#     dates_mat = np.concatenate(all_dates)
+
+#     data_actual = [i[radius, radius] for i in data_mat]
+#     data_max = np.max(data_mat, axis=(1, 2))
+#     data_max_2 = np.max(data_mat, axis=0)
+
+#     df = pd.DataFrame({'Date': dates_mat,
+#                        'Actual': data_actual,
+#                       'Max': data_max})
+
+#     df['Date'] = pd.to_datetime(df['Date'], format='%Y%m%d')
+#     df['Date']=df['Date']+pd.Timedelta(days=1)
+
+#     return df, data_max_2
 
 
 def map_folium(lat, lon,files_dates_selected, within_days ):
@@ -224,7 +224,6 @@ for i in files:
     with h5py.File(i, 'r') as f:
         data = f['hail'][:, 100 - radius:100 + radius+ 1,
                 100-radius: 100+radius+1]
-        st.write(data)
         dates = f['dates'][:]
         all_data.append(data)
         all_dates.append(dates)