Merge branch 'master' of framagit.org:jebins/sen2chain

script_examples/download_and_process.py → examples/scripts/download_and_process.py

@@ -20,4 +20,4 @@ req = DataRequest(start_date="2016-08-01", end_date="2016-08-31").from_tiles(til
 #~ a list of indices (available : NDVI/NDWIGAO/NDWIMCF/BIGR/BIRNIR/BIBG),
 #~ And clouds_nodata (True/False) and quicklook (True/False)
 
-DownloadAndProcess(req, hubs_limit={"peps":1, "scihub":1}, process_products=False, indices_list=["NDVI"], nodata_clouds=False, quicklook=False)
+DownloadAndProcess(req, hubs_limit={"peps":1, "scihub":1}, process_products=True, indices_list=["NDVI"], nodata_clouds=False, quicklook=False)

script_examples/process_l2a_and_indices_multiprocessing.py → examples/scripts/process_l2a_and_indices_multiprocessing.py

@@ -65,7 +65,7 @@ logger.info("l1c_process_list ({} files): {}\n".format(len(l1c_process_list), l1
 l2a_res = False
 if l1c_process_list:
     if not arg:
-        l2a_res = l2a_multiprocessing(l1c_process_list, nb_proc=12)
+        l2a_res = l2a_multiprocessing(l1c_process_list, nb_proc=4)
 
 
 # Processing L2A cloud masks

sen2chain/time_series.py

@@ -233,7 +233,7 @@ class TimeSeries:
                 df_name,
                 self._date_min,
                 self._date_max)
-            df.sort_values(by=['fid', 'date']).to_csv(str(csv_path))
+            df.sort_values(by=['fid']).to_csv(str(csv_path))
             logger.info("exported to csv: {}".format(csv_path))
     
     def plot_global(self, out_path: Union[str, pathlib.PosixPath] = None) -> None: