updated docs

Deltares · Oct 11, 2024 · 6374273 · 6374273
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diff --git a/docs/examples/minimal_example.py b/docs/examples/minimal_example.py
@@ -10,14 +10,17 @@
 
 #select a set of parameters 
 # Filter the locations dataframe with the desired parameters and stations.
-bool_stations = locations.index.isin(['IJMDBTHVN', 'DANTZGZD','HOEKVHLD'])
-# measured (WATHTE) versus computed/astro
+bool_stations = locations.index.isin(['ijmuiden.buitenhaven', 'dantziggat.zuid', 'hoekvanholland', 'ameland.nes'])
+# meting/astronomisch/verwachting
+bool_procestype = locations['ProcesType'].isin(['meting'])
+# waterlevel/waterhoogte (WATHTE)
 bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE'])
 # timeseries (NVT) versus extremes
-bool_groepering = locations['Groepering.Code'].isin(['NVT'])
+bool_groepering = locations['Groepering.Code'].isin([''])
 # vertical reference (NAP/MSL)
 bool_hoedanigheid = locations['Hoedanigheid.Code'].isin(['NAP'])
-selected = locations.loc[bool_stations & bool_grootheid & 
+selected = locations.loc[bool_procestype &
+                         bool_stations & bool_grootheid & 
                          bool_groepering & bool_hoedanigheid]
 
 start_date = dt.datetime(2023, 1, 1)

diff --git a/docs/examples/retrieve_parallel_to_netcdf.py b/docs/examples/retrieve_parallel_to_netcdf.py
@@ -13,7 +13,6 @@
 
 
 def get_data(location, start_date, end_date, dir_output, overwrite=True):
-
     station_id = location.name
     station_messageid = location["Locatie_MessageID"]
     filename = os.path.join(dir_output, f"{station_id}-{station_messageid}.nc")
@@ -44,19 +43,18 @@ def get_data(location, start_date, end_date, dir_output, overwrite=True):
     ds.to_netcdf(filename, format="NETCDF4_CLASSIC")
 
 
-if ( __name__ == "__main__" ):
-
+if __name__ == "__main__":
     dir_output = './ddl_retrieved_data'
     os.makedirs(dir_output, exist_ok=True)
 
     # get locations
     locations = ddlpy.locations()
-    bool_stations = locations.index.isin(['IJMDBTHVN', 'DANTZGZD', 'HOEKVHLD', 'VLISSGN', 'HOEK', 'VLIS', "OLST"])
-    bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE']) # measured (WATHTE) versus computed/astro
-    bool_groepering = locations['Groepering.Code'].isin(['NVT']) # timeseries (NVT) versus extremes
+    bool_stations = locations.index.isin(['ijmuiden.buitenhaven', 'dantziggat.zuid', 'hoekvanholland', 'ameland.nes', 'vlissingen', 'olst'])
+    bool_procestype = locations['ProcesType'].isin(['meting']) # meting/astronomisch/verwachting
+    bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE']) # waterlevel (WATHTE)
+    bool_groepering = locations['Groepering.Code'].isin(['']) # timeseries (NVT) versus extremes
     bool_hoedanigheid = locations['Hoedanigheid.Code'].isin(['NAP']) # vertical reference (NAP/MSL)
-    selected = locations.loc[bool_stations & bool_grootheid & bool_groepering & bool_hoedanigheid]
-
+    selected = locations.loc[bool_stations & bool_procestype & bool_grootheid & bool_groepering & bool_hoedanigheid]
 
     start_date = dt.datetime(2022, 1, 1)
     end_date = dt.datetime(2022, 3, 1)
@@ -70,7 +68,6 @@ def get_data(location, start_date, end_date, dir_output, overwrite=True):
         for station_code, location in selected.iterrows():
             executor.submit(get_data, location, start_date, end_date, dir_output)
 
-
     file_list = glob.glob(os.path.join(dir_output, "*.nc"))
     fig, ax = plt.subplots()
     for file_nc in file_list: