Inline comment describing enocding attribute removal when reading a n…

…etcdf

src/pypromice/process/get_l2tol3.py

@@ -39,9 +39,12 @@ def get_l2tol3():
     # Define Level 2 dataset from file
     with xr.open_dataset(args.inpath) as l2:
         l2.load()
+
+    # Remove encoding attributes from NetCDF
     for varname in l2.variables:
         if 'encoding' in l2[varname].attrs:
-            del l2[varname].attrs['encoding']        
+            del l2[varname].attrs['encoding']     
+
     if 'bedrock' in l2.attrs.keys():
         l2.attrs['bedrock'] = l2.attrs['bedrock'] == 'True'
     if 'number_of_booms' in l2.attrs.keys():

src/pypromice/process/join_l2.py

@@ -30,6 +30,7 @@ def loadArr(infile):
     elif infile.split('.')[-1].lower() == 'nc':
         with xr.open_dataset(infile) as ds:
             ds.load()
+         # Remove encoding attributes from NetCDF
         for varname in ds.variables:
             if 'encoding' in ds[varname].attrs:
                 del ds[varname].attrs['encoding']

src/pypromice/process/join_l3.py

@@ -123,6 +123,7 @@ def loadArr(infile):
         f.close()
     elif infile.split('.')[-1].lower() in 'nc':
         ds = xr.open_dataset(infile)
+        # Remove encoding attributes from NetCDF
         for varname in ds.variables:
             if 'encoding' in ds[varname].attrs:
                 del ds[varname].attrs['encoding']

src/pypromice/process/write.py

@@ -167,8 +167,7 @@ def writeNC(outfile, Lx, col_names=None):
         names = [c for c in col_names if c in list(Lx.keys())]
     else:
         names = list(Lx.keys())
-    for var in names:
-        Lx[var].encoding = {}
+
     Lx[names].to_netcdf(outfile, mode='w', format='NETCDF4', compute=True)
 
 def getColNames(vars_df, ds, remove_nan_fields=False):