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Clean up RegridLoop #21

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Clean up RegridLoop #21

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b688b37
Loop through all vars in RegridLoop().
samsrabin Aug 23, 2024
0b56f3d
Simplify RegridLoop() with enumerate().
samsrabin Aug 23, 2024
2c59873
Reduce indentation in RegridLoop().
samsrabin Aug 23, 2024
8021c75
Further reduce indentation in RegridLoop().
samsrabin Aug 23, 2024
c2a025e
first_var now True for first variable.
samsrabin Aug 23, 2024
38d0314
Simplify messaging in RegridLoop().
samsrabin Aug 23, 2024
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47 changes: 23 additions & 24 deletions src/landusedata/regrid.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,30 +35,29 @@ def RegridLoop(ds_to_regrid, regridder):
# Loop through the variables one at a time to conserve memory
ds_varnames = list(ds_to_regrid.variables.keys())
varlen = len(ds_to_regrid.variables)
first_var = False
for i in range(varlen-1):

# Skip time variable
if (not "time" in ds_varnames[i]):

# Only regrid variables that match the lat/lon shape.
if (ds_to_regrid[ds_varnames[i]][0].shape == (ds_to_regrid.lat.shape[0], ds_to_regrid.lon.shape[0])):
print("regridding variable {}/{}: {}".format(i+1, varlen, ds_varnames[i]))

# For the first non-coordinate variable, copy and regrid the dataset as a whole.
# This makes sure to correctly include the lat/lon in the regridding.
if (not(first_var)):
ds_regrid = ds_to_regrid[ds_varnames[i]].to_dataset() # convert data array to dataset
ds_regrid = regridder(ds_regrid)
first_var = True

# Once the first variable has been included, then we can regrid by variable
else:
ds_regrid[ds_varnames[i]] = regridder(ds_to_regrid[ds_varnames[i]])
else:
print("skipping variable {}/{}: {}".format(i+1, varlen, ds_varnames[i]))
first_var = True
for i, var in enumerate(ds_to_regrid):
msg_text = " variable {}/{}: {}\n".format(i+1, varlen, var)

# Skip time variable and only regrid variables that match the lat/lon shape.
do_regrid = not "time" in var
do_regrid = do_regrid and \
ds_to_regrid[var][0].shape == (ds_to_regrid.lat.shape[0], ds_to_regrid.lon.shape[0])
if not do_regrid :
print("skipping" + msg_text)
continue

print("regridding" + msg_text)

# For the first non-coordinate variable, copy and regrid the dataset as a whole.
# This makes sure to correctly include the lat/lon in the regridding.
if first_var:
ds_regrid = ds_to_regrid[var].to_dataset() # convert data array to dataset
ds_regrid = regridder(ds_regrid)
first_var = False

# Once the first variable has been included, then we can regrid by variable
else:
print("skipping variable {}/{}: {}".format(i+1, varlen, ds_varnames[i]))
ds_regrid[var] = regridder(ds_to_regrid[var])

print("\n")
return(ds_regrid)