ka = np.arange(ijk1[2],ijk2[2]+1)
dims = list(np.shape(ka))
dims.extend(list(np.shape( Xa )))
Cfs = np.zeros( dims, float )
print(' Cfs.shape={}'.format(np.shape(Cfs)))
# = = = = = = = = = = = = = = =
scales = ya # Rename, that's all
kList = ka
k = 0
for kt in kList:
vt = v[:,kt, ijk1[1], ijk1[0]]
C, freqs = continuousWaveletAnalysis( vt, wlDict )
print(' Cfs[kt,:,:].shape = {}, Q.shape = {}'.format(np.shape(Cfs[k,:,:]), np.shape(C)))
Cfs[k,:,:] = C.copy()
k += 1
# = = output file = = = = =
# Create a NETCDF output dataset (dso) for writing out the data.
dso = netcdfOutputDataset( fileout )
xv = createNetcdfVariable( dso, xa , 'x' , len(xa) , 'm', 'f4', ('x',) , parameter )
yv = createNetcdfVariable( dso, ya , 'y' , len(ya) , 'm', 'f4', ('y',) , parameter )
zv = createNetcdfVariable( dso, ka , 'z' , len(ka) , 'm', 'f4', ('z',) , parameter )
Qv = createNetcdfVariable( dso, Cfs, 'Cfs', dims[0], '-', 'f4',('z','y','x',) , variable )
# - - - - Done , finalize the output - - - - - - - - - -
netcdfWriteAndClose( dso )
yv = nct.createCoordinateAxis(dso,
nPc,
dpx,
1,
'y',
'f4',
'm',
parameter=True)
zv = nct.createCoordinateAxis(dso,
nPc,
dpx,
2,
'z',
'f4',
'm',
parameter=True)
lad_3d = np.rollaxis(lad_3d, 2)
lad_3d = np.swapaxes(lad_3d, 1, 2)
nc_ds = nct.createNetcdfVariable(dso,
lad_3d,
"leaf_area_density",
0,
'm',
'f4', ('z', 'y', 'x'),
parameter=False)
nct.netcdfWriteAndClose(dso)
elif (args.output == "npz"):
np.savez(args.fileout, R=lad_3d, dPx=dpx, GlobOrig=ds["GlobOrig"])
else:
raise ValueError("Unknown output format: {}".format(args.output))