update app.py

app.py

@@ -442,42 +442,45 @@ def aggregate_data_weekly(collection):
     
     return ee.ImageCollection(weekly_images)
     
-# def aggregate_data_monthly(collection):
-#     # Extract month and year from the image date
-#     collection = collection.map(lambda image: image.set('month', ee.Date(image.get('system:time_start')).format('YYYY-MM')))
-    
-#     # Group images by month
-#     grouped_by_month = collection.aggregate_array('month').distinct()
-
-#     def calculate_monthly_mean(month):
-#         monthly_collection = collection.filter(ee.Filter.eq('month', month))
-#         monthly_mean = monthly_collection.mean()
-#         return monthly_mean.set('month', month)
-
-#     # Calculate the monthly mean for each month
-#     monthly_images = ee.List(grouped_by_month.map(calculate_monthly_mean))
-    
-    # return ee.ImageCollection(monthly_images)
-
-def aggregate_data_for_date_range(collection, start_date, end_date):
+def aggregate_data_monthly(collection, start_date, end_date):
     # Filter the collection for the specific date range
-    filtered_collection = collection.filterDate(start_date, end_date)
+    collection = collection.filterDate(start_date, end_date)
     
     # Extract month and year from the image date
-    filtered_collection = filtered_collection.map(lambda image: image.set('month', ee.Date(image.get('system:time_start')).format('YYYY-MM')))
+    collection = collection.map(lambda image: image.set('month', ee.Date(image.get('system:time_start')).format('YYYY-MM')))
     
     # Group images by month
-    grouped_by_month = filtered_collection.aggregate_array('month').distinct()
+    grouped_by_month = collection.aggregate_array('month').distinct()
 
     def calculate_monthly_mean(month):
-        monthly_collection = filtered_collection.filter(ee.Filter.eq('month', month))
+        monthly_collection = collection.filter(ee.Filter.eq('month', month))
         monthly_mean = monthly_collection.mean()
         return monthly_mean.set('month', month)
 
     # Calculate the monthly mean for each month
     monthly_images = ee.List(grouped_by_month.map(calculate_monthly_mean))
     
-    return monthly_images
+    return ee.ImageCollection(monthly_images)
+
+# def aggregate_data_for_date_range(collection, start_date, end_date):
+#     # Filter the collection for the specific date range
+#     filtered_collection = collection.filterDate(start_date, end_date)
+    
+#     # Extract month and year from the image date
+#     filtered_collection = filtered_collection.map(lambda image: image.set('month', ee.Date(image.get('system:time_start')).format('YYYY-MM')))
+    
+#     # Group images by month
+#     grouped_by_month = filtered_collection.aggregate_array('month').distinct()
+
+#     def calculate_monthly_mean(month):
+#         monthly_collection = filtered_collection.filter(ee.Filter.eq('month', month))
+#         monthly_mean = monthly_collection.mean()
+#         return monthly_mean.set('month', month)
+
+#     # Calculate the monthly mean for each month
+#     monthly_images = ee.List(grouped_by_month.map(calculate_monthly_mean))
+    
+#     return monthly_images
     
 def aggregate_data_yearly(collection):
     # Extract year from the image date