Index: trunk/doc/SDToolBox - Test Plan/testAntolinez/testAntolinez.py
===================================================================
diff -u -r104 -r105
--- trunk/doc/SDToolBox - Test Plan/testAntolinez/testAntolinez.py	(.../testAntolinez.py)	(revision 104)
+++ trunk/doc/SDToolBox - Test Plan/testAntolinez/testAntolinez.py	(.../testAntolinez.py)	(revision 105)
@@ -39,9 +39,24 @@
     lon = ds['lon'][:]
 #era5 = pd.read_pickle(os.path.join(pth.data,'NS_WAM_ERA5.p'))
 plt.plot(lat,lon,'or');plt.axis('equal')
-#%% Extract data
+#%% Extract data non-gridded
 # 1st initialize the class
 inda = sd_eda.InputData(input_coordinates={'LON':lon,'LAT':lat},
                         input_variables=['swh'],input_scenarios=['era5'],
                         input_years=[1986])
 ds = sd_eda.ExtractData.get_era_5(directory_path=os.path.join(pth.era5),input_data=inda)
+dsxr = ds.generate_netcdf(dir_path=pth.out,base_name='test',dataset_code='era5')
+
+#%% Extract data gridded
+lonmin=-5;lonmax=11;dlon=0.5
+latmin=50;latmax=62;dlat=0.5
+lon = np.arange(latmin,latmax+dlat,dlat)
+lat = np.arange(lonmin,lonmax+dlon,dlon)
+#lon,lat = np.meshgrid(lon,lat)
+#plt.plot(lat,lon,'or');plt.axis('equal')
+del(inda)
+inda = sd_eda.InputData(input_coordinates={'LON':lon,'LAT':lat},
+                        input_variables=['msl_p'],input_scenarios=['era5'],
+                        input_years=[1986],is_gridded=True)
+
+ds = sd_eda.ExtractData.get_era_5(directory_path=os.path.join(pth.era5),input_data=inda)