Update main.py

main.py

@@ -104,24 +104,24 @@ def get_data(address, start_date, end_date, radius_miles, get_max):
     disk_mask = np.where(disk(radius_miles) == 1, True, False)
     data_mat = np.where(disk_mask, data_mat, -1).round(3)
 
-    # # Process to DataFrame
-    # # Find Max of Data
-    # if get_max == True:
-    #     data_max = np.max(data_mat, axis=(1, 2))
-    #     df_data = pd.DataFrame({'Date': dates_all,
-    #                            'APCP_max': data_max})
-    # # Get all Data
-    # else:
-    #     data_all = list(data_mat)
-    #     df_data = pd.DataFrame({'Date': dates_all,
-    #                            'APCP_all': data_all})
-
-    # df_data['Date'] = pd.to_datetime(df_data['Date'], format='%Y%m%d%H')
-    # df_data = df_data.set_index('Date')
-
-    # df_data = df_data.reindex(date_range_days, fill_value=0).reset_index().rename(
-    #     columns={'index': 'Date'})
-    # df_data['Date'] = df_data['Date'].dt.strftime('%Y-%m-%d:%H')
+    # Process to DataFrame
+    # Find Max of Data
+    if get_max == True:
+        data_max = np.max(data_mat, axis=(1, 2))
+        df_data = pd.DataFrame({'Date': dates_all,
+                               'APCP_max': data_max})
+    # Get all Data
+    else:
+        data_all = list(data_mat)
+        df_data = pd.DataFrame({'Date': dates_all,
+                               'APCP_all': data_all})
+
+    df_data['Date'] = pd.to_datetime(df_data['Date'], format='%Y%m%d%H')
+    df_data = df_data.set_index('Date')
+
+    df_data = df_data.reindex(date_range_days, fill_value=0).reset_index().rename(
+        columns={'index': 'Date'})
+    df_data['Date'] = df_data['Date'].dt.strftime('%Y-%m-%d:%H')
 
     # return df_data
     return lat, lon, row, col