def test_writeGrid(self):
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
file0 = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/geophy.fst')
funit = rmn.fstopenall(file0)
rec = rmn.fstlir(funit, nomvar='ME')
grid0 = rmn.readGrid(funit, rec)
rmn.fstcloseall(funit)
grid1 = rmn.defGrid_L(180,60,0.,180.,1.,0.5)
grid2 = rmn.defGrid_ZE(90,45,10.,11.,1.,0.5,0.,180.,1.,270.)
grid3 = rmn.defGrid_YY(31,5,0.,180.,1.,270.)
self.erase_testfile()
myfile = self.fname
funit = rmn.fstopenall(myfile, rmn.FST_RW)
rmn.fstecr(funit,rec['d'],rec)
rmn.writeGrid(funit, grid0)
rmn.writeGrid(funit, grid1)
rmn.writeGrid(funit, grid2)
rmn.writeGrid(funit, grid3)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(myfile, rmn.FST_RO)
rec = rmn.fstlir(funit, nomvar='ME')
grid0b = rmn.readGrid(funit, rec)
rmn.fstcloseall(funit)
self.erase_testfile()
for k in grid0.keys():
if isinstance(grid0[k],np.ndarray):
ok = np.any(np.abs(grid0b[k]-grid0[k]) > self.epsilon)
self.assertFalse(ok, 'For k=%s, grid0b - grid0 = %s' % (k,str(np.abs(grid0b[k]-grid0[k]))))
else:
self.assertEqual(grid0b[k],grid0[k], 'For k=%s, expected:%s, got:%s' % (k, str(grid0[k]), str(grid0b[k])))
def test_23qd(self):
import os, sys, datetime
from scipy.constants import knot as KNOT2MS
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
fileNameOut = 'uvfstfile.fst'
fileIdIn = rmn.fstopenall(os.getenv('CMCGRIDF')+'/prog/regeta/'+fdate)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
vgd.vgd_write(vgd.vgd_read(fileIdIn), fileIdOut)
(uu, vv, uvarray, copyGrid) = ({'d': None}, {'d': None}, None, True)
for k in rmn.fstinl(fileIdIn, nomvar='UU'):
uu = rmn.fstluk(k, dataArray=uu['d'])
vv = rmn.fstlir(fileIdIn, nomvar='VV', ip1=uu['ip1'], ip2=uu['ip2'],
datev=uu['datev'],dataArray=vv['d'])
if uvarray is None:
uvarray = np.empty(uu['d'].shape, dtype=uu['d'].dtype, order='FORTRAN')
uv = uu.copy()
uv.update({'d':uvarray, 'nomvar': 'WSPD'})
uv['d'][:,:] = np.sqrt(uu['d']**2. + vv['d']**2.) * KNOT2MS
rmn.fstecr(fileIdOut, uv)
if copyGrid:
copyGrid = False
rmn.writeGrid(fileIdOut, rmn.readGrid(fileIdIn, uu))
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_23qd(self):
import os, sys, datetime
from scipy.constants import knot as KNOT2MS
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
fileNameOut = 'uvfstfile.fst'
fileIdIn = rmn.fstopenall(
os.getenv('CMCGRIDF') + '/prog/regeta/' + fdate)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
vgd.vgd_write(vgd.vgd_read(fileIdIn), fileIdOut)
(uu, vv, uvarray, copyGrid) = ({'d': None}, {'d': None}, None, True)
for k in rmn.fstinl(fileIdIn, nomvar='UU'):
uu = rmn.fstluk(k, dataArray=uu['d'])
vv = rmn.fstlir(fileIdIn,
nomvar='VV',
ip1=uu['ip1'],
ip2=uu['ip2'],
datev=uu['datev'],
dataArray=vv['d'])
if uvarray is None:
uvarray = np.empty(uu['d'].shape,
dtype=uu['d'].dtype,
order='FORTRAN')
uv = uu.copy()
uv.update({'d': uvarray, 'nomvar': 'WSPD'})
uv['d'][:, :] = np.sqrt(uu['d']**2. + vv['d']**2.) * KNOT2MS
rmn.fstecr(fileIdOut, uv)
if copyGrid:
copyGrid = False
rmn.writeGrid(fileIdOut, rmn.readGrid(fileIdIn, uu))
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_readGridRef(self):
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/geophy.fst')
funit = rmn.fstopenall(myfile)
rec = rmn.fstlir(funit, nomvar='ME')
grid = rmn.readGrid(funit,rec)
self.assertEqual(grid['grref'],'E')
self.assertEqual(grid['grtyp'],'Z')
self.assertEqual(grid['ig1'],2002)
self.assertEqual(grid['ig2'],1000)
self.assertEqual(grid['ig3'],0)
self.assertEqual(grid['ig4'],0)
self.assertEqual(grid['ig1ref'],900)
self.assertEqual(grid['ig2ref'],0)
self.assertEqual(grid['ig3ref'],43200)
self.assertEqual(grid['ig4ref'],43200)
self.assertEqual(grid['ni'],201)
self.assertEqual(grid['nj'],100)
self.assertEqual(grid['xg1'],0.)
self.assertEqual(grid['xg2'],180.)
self.assertEqual(grid['xg3'],0.)
self.assertEqual(grid['xg4'],270.)
self.assertEqual(grid['xlat1'],0.)
self.assertEqual(grid['xlon1'],180.)
self.assertEqual(grid['xlat2'],0.)
self.assertEqual(grid['xlon2'],270.)
self.assertEqual(grid['tag1'],2002)
self.assertEqual(grid['tag2'],1000)
self.assertEqual(grid['tag3'],0)
def test_readGridRef(self):
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(), 'bcmk/geophy.fst')
funit = rmn.fstopenall(myfile)
rec = rmn.fstlir(funit, nomvar='ME')
grid = rmn.readGrid(funit, rec)
self.assertEqual(grid['grref'], 'E')
self.assertEqual(grid['grtyp'], 'Z')
self.assertEqual(grid['ig1'], 2002)
self.assertEqual(grid['ig2'], 1000)
self.assertEqual(grid['ig3'], 0)
self.assertEqual(grid['ig4'], 0)
self.assertEqual(grid['ig1ref'], 900)
self.assertEqual(grid['ig2ref'], 0)
self.assertEqual(grid['ig3ref'], 43200)
self.assertEqual(grid['ig4ref'], 43200)
self.assertEqual(grid['ni'], 201)
self.assertEqual(grid['nj'], 100)
self.assertEqual(grid['xg1'], 0.)
self.assertEqual(grid['xg2'], 180.)
self.assertEqual(grid['xg3'], 0.)
self.assertEqual(grid['xg4'], 270.)
self.assertEqual(grid['xlat1'], 0.)
self.assertEqual(grid['xlon1'], 180.)
self.assertEqual(grid['xlat2'], 0.)
self.assertEqual(grid['xlon2'], 270.)
self.assertEqual(grid['tag1'], 2002)
self.assertEqual(grid['tag2'], 1000)
self.assertEqual(grid['tag3'], 0)
def getGrid(directory):
fileName = os.listdir(directory)
fileID = rmn.fstopenall(directory + fileName, rmn.FST_RO)
getKeys(level=defaultIp1, spc=defaultSpc, fileID=fileID)
#now have data for all applicable fields
grid = rmn.readGrid(fileID, rec)
return grid
def test_13(self):
"""
Queries: Get Horizontal Grid info
This example shows how to get the horizontal grid definition (including
axes and ezscint id) from a previsouly read record
See also:
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstlir
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.grids.readGrid
rpnpy.librmn.const
"""
import os, sys
import rpnpy.librmn.all as rmn
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Open file
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileName = os.path.join(ATM_MODEL_DFILES, 'bcmk', 'geophy.fst')
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get/read the MG record
r = rmn.fstlir(fileId, nomvar='ME')
# Get the grid definition of the record
g = rmn.readGrid(fileId, r)
print("CB13: %s grtyp/ref=%s/%s, ni/nj=%d,%d, gridID=%d" %
(r['nomvar'], g['grtyp'], g['grref'], g['ni'], g['nj'],
g['id']))
print(" lat0/lon0 =%f, %f" % (g['lat0'], g['lon0']))
print(" ldlat/dlon =%f, %f" % (g['dlat'], g['dlon']))
print(" xlat`/xlon1=%f, %f; xlat2/xlon2=%f, %f" %
(g['xlat1'], g['xlon1'], g['xlat2'], g['xlon2']))
print(" ax: min=%f, max=%f; ay: min=%f, max=%f" %
(g['ax'].min(), g['ax'].max(), g['ay'].min(), g['ay'].max()))
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_13(self):
"""
Queries: Get Horizontal Grid info
This example shows how to get the horizontal grid definition (including
axes and ezscint id) from a previsouly read record
See also:
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstlir
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.grids.readGrid
rpnpy.librmn.const
"""
import os, sys
import rpnpy.librmn.all as rmn
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open file
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileName = os.path.join(ATM_MODEL_DFILES, 'bcmk','geophy.fst')
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get/read the MG record
r = rmn.fstlir(fileId, nomvar='ME')
# Get the grid definition of the record
g = rmn.readGrid(fileId, r)
print("CB13: %s grtyp/ref=%s/%s, ni/nj=%d,%d, gridID=%d" %
(r['nomvar'], g['grtyp'], g['grref'], g['ni'], g['nj'], g['id']))
print(" lat0/lon0 =%f, %f" % (g['lat0'], g['lon0']))
print(" ldlat/dlon =%f, %f" % (g['dlat'], g['dlon']))
print(" xlat`/xlon1=%f, %f; xlat2/xlon2=%f, %f" %
(g['xlat1'], g['xlon1'], g['xlat2'], g['xlon2']))
print(" ax: min=%f, max=%f; ay: min=%f, max=%f" %
(g['ax'].min(), g['ax'].max(), g['ay'].min(), g['ay'].max()))
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_writeGrid(self):
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
file0 = os.path.join(ATM_MODEL_DFILES.strip(), 'bcmk/geophy.fst')
funit = rmn.fstopenall(file0)
rec = rmn.fstlir(funit, nomvar='ME')
grid0 = rmn.readGrid(funit, rec)
rmn.fstcloseall(funit)
grid1 = rmn.defGrid_L(180, 60, 0., 180., 1., 0.5)
grid2 = rmn.defGrid_ZE(90, 45, 10., 11., 1., 0.5, 0., 180., 1., 270.)
grid3 = rmn.defGrid_YY(31, 5, 0., 180., 1., 270.)
self.erase_testfile()
myfile = self.fname
funit = rmn.fstopenall(myfile, rmn.FST_RW)
rmn.fstecr(funit, rec['d'], rec)
rmn.writeGrid(funit, grid0)
rmn.writeGrid(funit, grid1)
rmn.writeGrid(funit, grid2)
rmn.writeGrid(funit, grid3)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(myfile, rmn.FST_RO)
rec = rmn.fstlir(funit, nomvar='ME')
grid0b = rmn.readGrid(funit, rec)
rmn.fstcloseall(funit)
self.erase_testfile()
for k in grid0.keys():
if isinstance(grid0[k], np.ndarray):
ok = np.any(np.abs(grid0b[k] - grid0[k]) > self.epsilon)
self.assertFalse(
ok, 'For k=%s, grid0b - grid0 = %s' %
(k, str(np.abs(grid0b[k] - grid0[k]))))
else:
self.assertEqual(
grid0b[k], grid0[k], 'For k=%s, expected:%s, got:%s' %
(k, str(grid0[k]), str(grid0b[k])))
def test_13qd(self):
import os, sys
import rpnpy.librmn.all as rmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileId = rmn.fstopenall(ATM_MODEL_DFILES+'/bcmk/geophy.fst', rmn.FST_RO)
r = rmn.fstlir(fileId, nomvar='ME')
g = rmn.readGrid(fileId, r)
print("CB13qd: %s grtyp/ref=%s/%s, ni/nj=%d,%d, gridID=%d" %
(r['nomvar'], g['grtyp'], g['grref'], g['ni'], g['nj'], g['id']))
print(" lat0/lon0 =%f, %f" % (g['lat0'], g['lon0']))
print(" ldlat/dlon =%f, %f" % (g['dlat'], g['dlon']))
print(" xlat`/xlon1=%f, %f; xlat2/xlon2=%f, %f" %
(g['xlat1'], g['xlon1'], g['xlat2'], g['xlon2']))
print(" ax: min=%f, max=%f; ay: min=%f, max=%f" %
(g['ax'].min(), g['ax'].max(), g['ay'].min(), g['ay'].max()))
rmn.fstcloseall(fileId)
def test_13qd(self):
import os, sys
import rpnpy.librmn.all as rmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileId = rmn.fstopenall(ATM_MODEL_DFILES + '/bcmk/geophy.fst',
rmn.FST_RO)
r = rmn.fstlir(fileId, nomvar='ME')
g = rmn.readGrid(fileId, r)
print("CB13qd: %s grtyp/ref=%s/%s, ni/nj=%d,%d, gridID=%d" %
(r['nomvar'], g['grtyp'], g['grref'], g['ni'], g['nj'], g['id']))
print(" lat0/lon0 =%f, %f" % (g['lat0'], g['lon0']))
print(" ldlat/dlon =%f, %f" % (g['dlat'], g['dlon']))
print(" xlat`/xlon1=%f, %f; xlat2/xlon2=%f, %f" %
(g['xlat1'], g['xlon1'], g['xlat2'], g['xlon2']))
print(" ax: min=%f, max=%f; ay: min=%f, max=%f" %
(g['ax'].min(), g['ax'].max(), g['ay'].min(), g['ay'].max()))
rmn.fstcloseall(fileId)
def test_readGrid(self):
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/2009042700_000')
funit = rmn.fstopenall(myfile)
rec = rmn.fstlir(funit, nomvar='P0')
grid = rmn.readGrid(funit,rec)
self.assertEqual(grid['grtyp'],'G')
self.assertEqual(grid['ig1'],0)
self.assertEqual(grid['ig2'],0)
self.assertEqual(grid['ig3'],0)
self.assertEqual(grid['ig4'],0)
self.assertEqual(grid['xg1'],0.)
self.assertEqual(grid['xg2'],0.)
self.assertEqual(grid['xg3'],0.)
self.assertEqual(grid['xg4'],0.)
self.assertEqual(grid['ni'],200)
self.assertEqual(grid['nj'],100)
self.assertEqual(grid['shape'],(200,100))
self.assertEqual(grid['glb'],True)
self.assertEqual(grid['north'],True)
self.assertEqual(grid['inverted'],False)
def test_readGrid(self):
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(), 'bcmk/2009042700_000')
funit = rmn.fstopenall(myfile)
rec = rmn.fstlir(funit, nomvar='P0')
grid = rmn.readGrid(funit, rec)
self.assertEqual(grid['grtyp'], 'G')
self.assertEqual(grid['ig1'], 0)
self.assertEqual(grid['ig2'], 0)
self.assertEqual(grid['ig3'], 0)
self.assertEqual(grid['ig4'], 0)
self.assertEqual(grid['xg1'], 0.)
self.assertEqual(grid['xg2'], 0.)
self.assertEqual(grid['xg3'], 0.)
self.assertEqual(grid['xg4'], 0.)
self.assertEqual(grid['ni'], 200)
self.assertEqual(grid['nj'], 100)
self.assertEqual(grid['shape'], (200, 100))
self.assertEqual(grid['glb'], True)
self.assertEqual(grid['north'], True)
self.assertEqual(grid['inverted'], False)
def test_41qd(self):
import os, sys, datetime
import rpnpy.librmn.all as rmn
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameOut = 'p0fstfileqd.fst'
fileIdIn = rmn.fstopenall(os.getenv('CMCGRIDF')+'/prog/regeta/'+fdate)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
gOut = rmn.defGrid_ZE(90, 45, 35., 250., 0.5, 0.5, 0., 180., 1., 270.)
r = rmn.fstlir(fileIdIn, nomvar='P0')
gIn = rmn.readGrid(fileIdIn, r)
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE, rmn.EZ_INTERP_LINEAR)
d = rmn.ezsint(gOut, gIn, r)
r2 = r.copy()
r2.update(gOut)
r2.update({'etiket':'my_etk', 'd':d})
rmn.fstecr(fileIdOut, r2)
rmn.writeGrid(fileIdOut, gOut)
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_41qd(self):
import os, sys, datetime
import rpnpy.librmn.all as rmn
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameOut = 'p0fstfileqd.fst'
fileIdIn = rmn.fstopenall(
os.getenv('CMCGRIDF') + '/prog/regeta/' + fdate)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
gOut = rmn.defGrid_ZE(90, 45, 35., 250., 0.5, 0.5, 0., 180., 1., 270.)
r = rmn.fstlir(fileIdIn, nomvar='P0')
gIn = rmn.readGrid(fileIdIn, r)
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE, rmn.EZ_INTERP_LINEAR)
d = rmn.ezsint(gOut, gIn, r)
r2 = r.copy()
r2.update(gOut)
r2.update({'etiket': 'my_etk', 'd': d})
rmn.fstecr(fileIdOut, r2)
rmn.writeGrid(fileIdOut, gOut)
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def getGrid(directory):
fileName = os.listdir(directory)
fileID = rmn.fstopenall(directory+fileName, rmn.FST_RO)
getKeys(level=defaultIp1,spc=defaultSpc,fileID=fileID)
#now have data for all applicable fields
grid=rmn.readGrid(fileID,rec)
print ('Grid Type is: ' + grid[grtyp]) ##grid type (one of 'Z', '#', 'Y', 'U')
## note that if there are variable gridtypes, would be problematic when coding in conversion to lat/lon or x/y
## if plotted in latlon, then is not a concern, and can convert to xy for new grid layout to match the basemap
return grid
##things wanted out of grid:
## shape, (ni,nj) to resize to
## Returns:
{
'id' : grid id, same as input arg
'shape' : (ni, nj) # dimensions of the grid
'ni' : first dimension of the grid
'nj' : second dimension of the grid
'grtyp' : type of geographical projection
(one of 'Z', '#', 'Y', 'U')
'ig1' : first grid descriptor
'ig2' : second grid descriptor
'ig3' : third grid descriptor
'ig4' : fourth grid descriptor
'grref' : grid ref type (one of 'A', 'B', 'E', 'G', 'L', 'N', 'S')
'ig1ref' : first grid descriptor of grid ref
'ig2ref' : second grid descriptor of grid ref
'ig3ref' : third grid descriptor of grid ref
'ig4ref' : fourth grid descriptor of grid ref
...
list of other parameters is grtyp dependent,
See defGrid_* specific function for details
}
def test_41(self):
"""
Horizontal Interpolation
See also:
"""
import os, sys, datetime
import rpnpy.librmn.all as rmn
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameIn = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
fileNameOut = 'p0fstfile.fst'
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
try:
# Create Destination grid
# Note: Destination grid can also be read from a file
gp = {
'grtyp': 'Z',
'grref': 'E',
'ni': 90,
'nj': 45,
'lat0': 35.,
'lon0': 250.,
'dlat': 0.5,
'dlon': 0.5,
'xlat1': 0.,
'xlon1': 180.,
'xlat2': 1.,
'xlon2': 270.
}
gOut = rmn.encodeGrid(gp)
print("CB41: Defined a %s/%s grid of shape=%d, %d" %
(gOut['grtyp'], gOut['grref'], gOut['ni'], gOut['nj']))
except:
sys.stderr.write("Problem creating grid\n")
sys.exit(1)
# Open Files
try:
fileIdIn = rmn.fstopenall(fileNameIn)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
except:
sys.stderr.write("Problem opening the files: %s, %s\n" %
(fileNameIn, fileNameOut))
sys.exit(1)
try:
# Find and read record to interpolate with its grid
r = rmn.fstlir(fileIdIn, nomvar='P0')
gIn = rmn.readGrid(fileIdIn, r)
print("CB41: Read P0")
# Set interpolation options and interpolate
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE, rmn.EZ_INTERP_LINEAR)
d = rmn.ezsint(gOut, gIn, r)
print("CB41: Interpolate P0")
# Create new record to write with interpolated data and
r2 = r.copy() # Preserve meta from original record
r2.update(gOut) # update grid information
r2.update({ # attach data and update specific meta
'etiket': 'my_etk',
'd': d
})
# Write record data + meta + grid to file
rmn.fstecr(fileIdOut, r2)
rmn.writeGrid(fileIdOut, gOut)
print("CB41: Wrote interpolated P0 and its grid")
except:
pass
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_51(self):
"""
Vertical Interpolation
See also:
scipy.interpolate.interp1d
"""
import os, sys, datetime
import numpy as np
from scipy.interpolate import interp1d as scipy_interp1d
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
MB2PA = 100.
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Open Input file
hour = 48
fdate = datetime.date.today().strftime('%Y%m%d') + '00_0' + str(hour)
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameOut = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
try:
fileIdIn = rmn.fstopenall(fileNameOut, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the input file: %s\n" %
fileNameOut)
sys.exit(1)
try:
# Get the vgrid def present in the file
# and the full list of ip1
# and the surface reference field name for the coor
vIn = vgd.vgd_read(fileIdIn)
ip1listIn0 = vgd.vgd_get(vIn, 'VIPT')
rfldNameIn = vgd.vgd_get(vIn, 'RFLD')
vkind = vgd.vgd_get(vIn, 'KIND')
vver = vgd.vgd_get(vIn, 'VERS')
VGD_KIND_VER_INV = dict(
(v, k) for k, v in vgd.VGD_KIND_VER.items())
vtype = VGD_KIND_VER_INV[(vkind, vver)]
print(
"CB51: Found vgrid type=%s (kind=%d, vers=%d) with %d levels, RFLD=%s"
% (vtype, vkind, vver, len(ip1listIn0), rfldNameIn))
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
ip1Keys = []
rshape = None
for ip1 in ip1listIn0:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileIdIn,
nomvar='TT',
ip2=hour,
ip1=rmn.ip1_all(lval, lkind))
if key is not None:
print("CB51: Found TT at ip1=%d, ip2=%d" % (ip1, hour))
ip1Keys.append((ip1, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(ip1Keys))
# Read every level for TT at ip2=hour, re-use 2d array while reading
# and store the data in a 3d array
# with lower level at nk, top at 0 as in the model
r2d = {'d': None}
r3d = None
k = 0
gIn = None
for ip1, key in ip1Keys:
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
print("CB51: Read TT at ip1=%d, ip2=%d" % (ip1, hour))
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape,
dtype=r2d['d'].dtype,
order='FORTRAN')
r3d['d'][:, :, k] = r2d['d'][:, :]
k += 1
if gIn is None:
gIn = rmn.readGrid(fileIdIn, r2d)
print("CB51: Read the horizontal grid descriptors")
except:
pass
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = vIn
r3d['ip1list'] = [x[0] for x in ip1Keys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
# Read the Input reference fields
rfldIn = None
if rfldNameIn:
rfldIn = rmn.fstlir(fileIdIn, nomvar=rfldNameIn, ip2=hour)
if rfldNameIn.strip() == 'P0':
rfldIn['d'][:] *= MB2PA
print(
"CB51: Read input RFLD=%s at ip2=%d [min=%7.0f, max=%7.0f]"
% (rfldNameIn, hour, rfldIn['d'].min(), rfldIn['d'].max()))
except:
raise # pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileIdIn)
# Define the destination vertical grid/levels
try:
lvlsOut = (500., 850., 1000.)
vOut = vgd.vgd_new_pres(lvlsOut)
ip1listOut = vgd.vgd_get(vOut, 'VIPT')
rfldNameOut = vgd.vgd_get(vIn, 'RFLD')
rfldOut = None # in this case, Pressure levels, there are no RFLD
print("CB51: Defined a Pres vgrid with lvls=%s" % str(lvlsOut))
except:
sys.stderr.write("Problem creating a new vgrid\n")
sys.exit(1)
# Get input and output 3d pressure cubes
try:
## if rfldIn is None:
## rfldIn =
pIn = vgd.vgd_levels(vIn, ip1list=r3d['ip1list'], rfld=rfldIn['d'])
print(
"CB51: Computed input pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]"
% (pIn[:, :, 0].min(), pIn[:, :, 0].max(), pIn[:, :, -1].min(),
pIn[:, :, -1].max()))
if rfldOut is None:
rfldOut = rfldIn # provide a dummy rfld for array shape
pOut = vgd.vgd_levels(vOut, ip1list=ip1listOut, rfld=rfldOut['d'])
print(
"CB51: Computed output pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]"
% (pOut[:, :, 0].min(), pOut[:, :, 0].max(),
pOut[:, :, -1].min(), pOut[:, :, -1].max()))
except:
raise
sys.stderr.write("Problem computing pressure cubes\n")
sys.exit(1)
# Use scipy.interpolate.interp1d to vertically interpolate
try:
## f = scipy_interp1d(fromLvls, toLvls, kind='cubic',
## assume_sorted=True, bounds_error=False,
## fill_value='extrapolate', copy=False)
## # Unfortunately, looks like interp1d take colomn data
## f = scipy_interp1d(pIn, r3d['d'], kind='cubic',
## bounds_error=False,
## fill_value='extrapolate', copy=False)
## r3dout = f(pOut)
## # Unfortunately, assume_sorted, 'extrapolate' not support in my version
## extrap_value = 'extrapolate' # -99999.
## # Way too slow, needs a C implementation
extrap_value = -999.
## for j in range(rshape[1]):
## for i in range(rshape[0]):
## f = scipy_interp1d(pIn[i,j,:], r3d['d'][i,j,:],
## kind='cubic',
## bounds_error=False,
## fill_value=extrap_value, copy=False)
## r1d = f(pOut[i,j,:])
## #print i,j,r1d
except:
raise
sys.stderr.write("Problem Interpolating data\n")
sys.exit(1)
def test_23(self):
"""
Edit: Read, Edit, Write records with meta, grid and vgrid
This example shows how to
* select records in a RPNStd file
* read the record data + meta
* edit/use record data and meta (compute the wind velocity)
* write the recod data + meta
* copy (read/write) the record grid descriptors
* copy (read/write) the file vgrid descriptor
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.fsrinl
rpnpy.librmn.fstd98.fsrluk
rpnpy.librmn.fstd98.fsrlir
rpnpy.librmn.fstd98.fsrecr
rpnpy.librmn.grids.readGrid
rpnpy.librmn.grids.writeGrid
rpnpy.vgd.base.vgd_read
rpnpy.vgd.base.vgd_write
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys, datetime
from scipy.constants import knot as KNOT2MS
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameIn = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
fileNameOut = 'uvfstfile.fst'
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Open Files
try:
fileIdIn = rmn.fstopenall(fileNameIn)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
except:
sys.stderr.write("Problem opening the files: %s, %s\n" %
(fileNameIn, fileNameOut))
sys.exit(1)
try:
# Copy the vgrid descriptor
v = vgd.vgd_read(fileIdIn)
vgd.vgd_write(v, fileIdOut)
print("CB23: Copied the vgrid descriptor")
# Loop over the list of UU records to copy
uu = {'d': None}
vv = {'d': None}
uvarray = None
copyGrid = True
for k in rmn.fstinl(fileIdIn, nomvar='UU'):
# Read the UU record data and meta from fileNameIn
# Provide data array to re-use memory
uu = rmn.fstluk(k, dataArray=uu['d'])
# Read the corresponding VV
# Provide data array to re-use memory
vv = rmn.fstlir(fileIdIn,
nomvar='VV',
ip1=uu['ip1'],
ip2=uu['ip2'],
datev=uu['datev'],
dataArray=vv['d'])
# Compute the wind modulus in m/s
# Copy metadata from the UU record
# Create / re-use memory space for computation results
uv = uu.copy()
if uvarray is None:
uvarray = np.empty(uu['d'].shape,
dtype=uu['d'].dtype,
order='FORTRAN')
uv['d'] = uvarray
uv['d'][:, :] = np.sqrt(uu['d']**2. + vv['d']**2.)
uv['d'] *= KNOT2MS # Convert from knot to m/s
# Set new record name and Write it to fileNameOut
uv['nomvar'] = 'WSPD'
rmn.fstecr(fileIdOut, uv)
print("CB23: Wrote %s ip1=%d, ip2=%d, dateo=%s : mean=%f" %
(uv['nomvar'], uv['ip1'], uv['ip2'], uv['dateo'],
uv['d'].mean()))
# Read and Write grid (only once, all rec are on the same grid)
if copyGrid:
copyGrid = False
g = rmn.readGrid(fileIdIn, uu)
rmn.writeGrid(fileIdOut, g)
print("CB23: Copied the grid descriptors")
except:
pass
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_51(self):
"""
Vertical Interpolation
See also:
scipy.interpolate.interp1d
"""
import os, sys, datetime
import numpy as np
from scipy.interpolate import interp1d as scipy_interp1d
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
MB2PA = 100.
# Restric to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open Input file
hour = 48
fdate = datetime.date.today().strftime('%Y%m%d') + '00_0' + str(hour)
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameOut = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
try:
fileIdIn = rmn.fstopenall(fileNameOut, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the input file: %s\n" % fileNameOut)
sys.exit(1)
try:
# Get the vgrid def present in the file
# and the full list of ip1
# and the surface reference field name for the coor
vIn = vgd.vgd_read(fileIdIn)
ip1listIn0 = vgd.vgd_get(vIn, 'VIPT')
rfldNameIn = vgd.vgd_get(vIn, 'RFLD')
vkind = vgd.vgd_get(vIn, 'KIND')
vver = vgd.vgd_get(vIn, 'VERS')
VGD_KIND_VER_INV = dict((v, k) for k, v in vgd.VGD_KIND_VER.iteritems())
vtype = VGD_KIND_VER_INV[(vkind,vver)]
print("CB51: Found vgrid type=%s (kind=%d, vers=%d) with %d levels, RFLD=%s" %
(vtype, vkind, vver, len(ip1listIn0), rfldNameIn))
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
ip1Keys = []
rshape = None
for ip1 in ip1listIn0:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileIdIn, nomvar='TT', ip2=hour, ip1=rmn.ip1_all(lval, lkind))
if key is not None:
print("CB51: Found TT at ip1=%d, ip2=%d" % (ip1, hour))
ip1Keys.append((ip1, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(ip1Keys))
# Read every level for TT at ip2=hour, re-use 2d array while reading
# and store the data in a 3d array
# with lower level at nk, top at 0 as in the model
r2d = {'d' : None}
r3d = None
k = 0
gIn = None
for ip1, key in ip1Keys:
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
print("CB51: Read TT at ip1=%d, ip2=%d" % (ip1, hour))
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape, dtype=r2d['d'].dtype, order='FORTRAN')
r3d['d'][:,:,k] = r2d['d'][:,:]
k += 1
if gIn is None:
gIn = rmn.readGrid(fileIdIn, r2d)
print("CB51: Read the horizontal grid descriptors")
except:
pass
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = vIn
r3d['ip1list'] = [x[0] for x in ip1Keys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
# Read the Input reference fields
rfldIn = None
if rfldNameIn:
rfldIn = rmn.fstlir(fileIdIn, nomvar=rfldNameIn, ip2=hour)
if rfldNameIn.strip() == 'P0':
rfldIn['d'][:] *= MB2PA
print("CB51: Read input RFLD=%s at ip2=%d [min=%7.0f, max=%7.0f]" % (rfldNameIn, hour, rfldIn['d'].min(), rfldIn['d'].max()))
except:
raise # pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileIdIn)
# Define the destination vertical grid/levels
try:
lvlsOut = (500.,850.,1000.)
vOut = vgd.vgd_new_pres(lvlsOut)
ip1listOut = vgd.vgd_get(vOut, 'VIPT')
rfldNameOut = vgd.vgd_get(vIn, 'RFLD')
rfldOut = None # in this case, Pressure levels, there are no RFLD
print("CB51: Defined a Pres vgrid with lvls=%s" % str(lvlsOut))
except:
sys.stderr.write("Problem creating a new vgrid\n")
sys.exit(1)
# Get input and output 3d pressure cubes
try:
## if rfldIn is None:
## rfldIn =
pIn = vgd.vgd_levels(vIn, ip1list=r3d['ip1list'], rfld=rfldIn['d'])
print("CB51: Computed input pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]" % (pIn[:,:,0].min(), pIn[:,:,0].max(), pIn[:,:,-1].min(), pIn[:,:,-1].max()))
if rfldOut is None:
rfldOut = rfldIn # provide a dummy rfld for array shape
pOut = vgd.vgd_levels(vOut, ip1list=ip1listOut, rfld=rfldOut['d'])
print("CB51: Computed output pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]" % (pOut[:,:,0].min(), pOut[:,:,0].max(), pOut[:,:,-1].min(), pOut[:,:,-1].max()))
except:
raise
sys.stderr.write("Problem computing pressure cubes\n")
sys.exit(1)
# Use scipy.interpolate.interp1d to vertically interpolate
try:
## f = scipy_interp1d(fromLvls, toLvls, kind='cubic',
## assume_sorted=True, bounds_error=False,
## fill_value='extrapolate', copy=False)
## # Unfortunately, looks like interp1d take colomn data
## f = scipy_interp1d(pIn, r3d['d'], kind='cubic',
## bounds_error=False,
## fill_value='extrapolate', copy=False)
## r3dout = f(pOut)
## # Unfortunately, assume_sorted, 'extrapolate' not support in my version
## extrap_value = 'extrapolate' # -99999.
## # Way too slow, needs a C implementation
extrap_value = -999.
## for j in xrange(rshape[1]):
## for i in xrange(rshape[0]):
## f = scipy_interp1d(pIn[i,j,:], r3d['d'][i,j,:],
## kind='cubic',
## bounds_error=False,
## fill_value=extrap_value, copy=False)
## r1d = f(pOut[i,j,:])
## #print i,j,r1d
except:
raise
sys.stderr.write("Problem Interpolating data\n")
sys.exit(1)
def fst_read_3d(fileId,
datev=-1,
etiket=' ',
ip1=-1,
ip2=-1,
ip3=-1,
typvar=' ',
nomvar=' ',
getPress=False,
dtype=None,
rank=None,
dataArray=None,
verbose=False):
"""
Reads the records matching the research keys into a 3D array
along with horizontal and vertical grid info
Only provided parameters with value different than default
are used as selection criteria
field3d = fst_read_3d(fileId, ... )
Args:
fileId : unit number associated to the file
obtained with fnom+fstouv or fstopenall
datev : valid date
etiket : label
ip1 : vertical levels lists
ip2 : forecast hour
ip3 : user defined identifier
typvar : type of field
nomvar : variable name
getPress: if true, get the ref. surface field and compute pressure cube
dtype : array type of the returned data
Default is determined from records' datyp
Could be any numpy.ndarray type
See: http://docs.scipy.org/doc/numpy/user/basics.types.html
rank : try to return an array with the specified rank
dataArray (ndarray): (optional) allocated array where to put the data
verbose : Print some info when true
Returns:
None if no matching record, else:
{
'd' : data, # 3d field data (numpy.ndarray), Fortran order
'hgrid': hGridInfo, # horizontal grid info as returned by readGrid
'vgrid': vGridInfo, # vertical grid info as returned by vgd_read
'ip1s' : ip1List # List of ip1 of each level (tuple of int)
... # same params list as fstprm (less ip1)
'rfld' : rfld, # (if getPress) 2d reference field value
'phPa' : phPa # (if getPress) 3d pressure values
}
Raises:
TypeError on wrong input arg types
ValueError on invalid input arg value
FSTDError on any other error
Examples:
>>> import os, os.path
>>> import rpnpy.librmn.all as rmn
>>> import rpnpy.utils.fstd3d as fstd3d
>>> ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
>>> filename = os.path.join(ATM_MODEL_DFILES,'bcmk')
>>>
>>> # Open existing file in Rear Only mode
>>> fileId = rmn.fstopenall(filename, rmn.FST_RO)
>>>
>>> # Find and read p0 meta and data, then print its min,max,mean values
>>> tt3d = fstd3d.fst_read_3d(fileId, nomvar='TT')
Read TT ip1=97642568 ip2=0 ip3=0 typv=P etk=G133K80P
Read the horizontal grid descriptors for TT
Read TT ip1=97738568 ip2=0 ip3=0 typv=P etk=G133K80P
Read TT ip1=97899568 ip2=0 ip3=0 typv=P etk=G133K80P
Read TT ip1=98152568 ip2=0 ip3=0 typv=P etk=G133K80P
# ...
>>> print("# TT ip2={0} min={1:4.1f} max={2:3.1f} avg={3:4.1f}"
... .format(tt3d['ip2'], tt3d['d'].min(), tt3d['d'].max(), tt3d['d'].mean()))
# TT ip2=0 min=-88.4 max=40.3 avg=-36.3
>>> rmn.fstcloseall(fileId)
See Also:
get_levels_keys
get_levels_press
fst_write_3d
rpnpy.librmn.fstd98.fstlir
rpnpy.librmn.fstd98.fstprm
rpnpy.librmn.fstd98.fstluk
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.grids.readGrid
rpnpy.vgd.base.vgd_read
rpnpy.vgd.base.vgd_levels
"""
# Get the list of ip1 on thermo, momentum levels in this file
#TODO: if ip1 is provided get the keys for these ip1
vGrid = None
tlevels = get_levels_keys(fileId,
nomvar,
datev,
ip2,
ip3,
typvar,
etiket,
vGrid=vGrid,
thermoMom='VIPT',
verbose=verbose)
vGrid = tlevels['vgrid']
mlevels = get_levels_keys(fileId,
tlevels['nomvar'],
tlevels['datev'],
tlevels['ip2'],
tlevels['ip3'],
tlevels['typvar'],
tlevels['etiket'],
vGrid=vGrid,
thermoMom='VIPM',
verbose=verbose)
ip1keys = tlevels['ip1keys']
if len(mlevels['ip1keys']) > len(tlevels['ip1keys']):
if verbose:
print("(fst_read_3d) Using Momentum level list")
ip1keys = mlevels['ip1keys']
elif verbose:
print("(fst_read_3d) Using Thermo level list")
if verbose or len(ip1keys) == 0:
print("(fst_read_3d) Found {0} records for {1} ip2={2} ip3={3} datev={4} typvar={5} etiket={6}"\
.format(len(ip1keys), nomvar, ip2, ip3, datev, typvar, etiket))
if len(ip1keys) == 0:
return None
# Read all 2d records and copy to 3d array
r3d = None
r2d = {'d': None}
k = 0
for ip1, key in ip1keys:
r2d = _rmn.fstluk(key, dataArray=r2d['d'])
print(
"Read {nomvar} ip1={ip1} ip2={ip2} ip3={ip3} typv={typvar} etk={etiket}"
.format(**r2d))
if r3d is None:
r3d = r2d.copy()
rshape = list(r2d['d'].shape[0:2]) + [len(ip1keys)]
if dataArray is None:
r3d['d'] = _np.empty(rshape,
dtype=r2d['d'].dtype,
order='FORTRAN')
else:
if isinstance(dataArray,
_np.ndarray) and dataArray.shape == rshape:
r3d['d'] = dataArray
else:
raise TypeError(
'Provided dataArray is not the right type or shape')
r3d['hgrid'] = _rmn.readGrid(fileId, r2d)
print("Read the horizontal grid descriptors for {nomvar}".format(
**r2d))
if r2d['d'].shape[0:2] != r3d['d'].shape[0:2]:
raise _rmn.RMNError("Wrong shape for input data.")
r3d['d'][:, :, k] = r2d['d'][:, :]
k += 1
ip1list = [x[0] for x in ip1keys]
r3d.update({
'shape': r3d['d'].shape,
'ni': r3d['d'].shape[0],
'nj': r3d['d'].shape[1],
'nk': r3d['d'].shape[2],
'ip1': -1,
'ip1s': ip1list,
'vgrid': vGrid
})
# Read RFLD and compute pressure on levels
if getPress:
press = get_levels_press(fileId,
vGrid,
r3d['d'].shape[0:2],
ip1list,
tlevels['datev'],
tlevels['ip2'],
tlevels['ip3'],
tlevels['typvar'],
tlevels['etiket'],
verbose=False)
r3d.update({'rfld': press['rfld'], 'phPa': press['phPa']})
return r3d
def fst_read_3d(fileId, datev=-1, etiket=' ', ip1=-1, ip2=-1, ip3=-1,
typvar=' ', nomvar=' ', getPress=False,
dtype=None, rank=None, dataArray=None, verbose=False):
"""
Reads the records matching the research keys into a 3D array
along with horizontal and vertical grid info
Only provided parameters with value different than default
are used as selection criteria
field3d = fst_read_3d(iunit, ... )
Args:
iunit : unit number associated to the file
obtained with fnom+fstouv
datev : valid date
etiket : label
ip1 : vertical levels lists
ip2 : forecast hour
ip3 : user defined identifier
typvar : type of field
nomvar : variable name
getPress:
dtype : array type of the returned data
Default is determined from records' datyp
Could be any numpy.ndarray type
See: http://docs.scipy.org/doc/numpy/user/basics.types.html
rank : try to return an array with the specified rank
dataArray (ndarray): (optional) allocated array where to put the data
verbose :
Returns:
None if no matching record, else:
{
'd' : data, # 3d field data (numpy.ndarray), Fortran order
'g' : hGridInfo, # horizontal grid info as returned by readGrid
'v' : vGridInfo, # vertical grid info as returned by vgd_read
'ip1s' : ip1List # List of ip1 of each level (tuple of int)
... # same params list as fstprm (less ip1)
}
Raises:
TypeError on wrong input arg types
ValueError on invalid input arg value
FSTDError on any other error
Examples:
>>> import os, os.path
>>> import rpnpy.librmn.all as rmn
>>> import rpnpy.utils.fstd3d as fstd3d
>>> ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
>>> filename = os.path.join(ATM_MODEL_DFILES,'bcmk')
>>>
>>> # Open existing file in Rear Only mode
>>> funit = rmn.fstopenall(filename, rmn.FST_RO)
>>>
>>> # Find and read p0 meta and data, then print its min,max,mean values
>>> tt3d = fstd3d.fst_read_3d(funit, nomvar='TT')
>>> print("# TT ip2={0} min={1} max={2} avg={3}"\
.format(tt3d['ip2'], tt3d['d'].min(), tt3d['d'].max(), tt3d['d'].mean()))
# TT ip2=0 min=530.641418 max=1039.641479 avg=966.500000
>>> rmn.fstcloseall(funit)
See Also:
get_levels_keys
fst_write_3d
rpnpy.librmn.fstd98.fstlir
rpnpy.librmn.fstd98.fstprm
rpnpy.librmn.fstd98.fstluk
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.grids.readGrid
rpnpy.vgd.base.vgd_read
"""
# Get the list of ip1 on thermo, momentum levels in this file
#TODO: if ip1 is provided get the keys for these ip1
vGrid = None
tlevels = get_levels_keys(fileId, nomvar, datev, ip2, ip3, typvar, etiket,
vGrid=vGrid, thermoMom='VIPT', verbose=verbose)
vGrid = tlevels['v']
mlevels = get_levels_keys(fileId, tlevels['nomvar'], tlevels['datev'], tlevels['ip2'],
tlevels['ip3'], tlevels['typvar'], tlevels['etiket'],
vGrid=vGrid, thermoMom='VIPM', verbose=verbose)
ip1keys = tlevels['ip1keys']
if len(mlevels['ip1keys']) > len(tlevels['ip1keys']):
if verbose: print("(fst_read_3d) Using Momentum level list")
ip1keys = mlevels['ip1keys']
elif verbose: print("(fst_read_3d) Using Thermo level list")
if verbose or len(ip1keys) == 0:
print("(fst_read_3d) Found {0} records for {1} ip2={2} ip3={3} datev={4} typvar={5} etiket={6}"\
.format(len(ip1keys), nomvar, ip2, ip3, datev, typvar, etiket))
if len(ip1keys) == 0:
return None
# Read all 2d records and copy to 3d array
r3d = None
r2d = {'d' : None}
k = 0
for ip1, key in ip1keys:
r2d = _rmn.fstluk(key, dataArray=r2d['d'])
print("Read {nomvar} ip1={ip1} ip2={ip2} ip3={ip3} typv={typvar} etk={etiket}".format(**r2d))
if r3d is None:
r3d = r2d.copy()
rshape = list(r2d['d'].shape[0:2]) + [len(ip1keys)]
if dataArray is None:
r3d['d'] = _np.empty(rshape, dtype=r2d['d'].dtype, order='FORTRAN')
else:
if isinstance(dataArray,_np.ndarray) and dataArray.shape == rshape:
r3d['d'] = dataArray
else:
raise TypeError('Provided dataArray is not the right type or shape')
r3d['g'] = _rmn.readGrid(fileId, r2d)
print("Read the horizontal grid descriptors for {nomvar}".format(**r2d))
if r2d['d'].shape[0:2] != r3d['d'].shape[0:2]:
raise _rmn.RMNError("Wrong shape for input data.")
r3d['d'][:,:,k] = r2d['d'][:,:]
k += 1
ip1list = [x[0] for x in ip1keys]
r3d.update({
'shape' : r3d['d'].shape,
'ni' : r3d['d'].shape[0],
'nj' : r3d['d'].shape[1],
'nk' : r3d['d'].shape[2],
'ip1' : -1,
'ip1s' : ip1list,
'v' : vGrid
})
# Read RFLD and compute pressure on levels
if getPress:
press = get_levels_press(fileId, vGrid, r3d['d'].shape[0:2], ip1list,
tlevels['datev'], tlevels['ip2'],
tlevels['ip3'], tlevels['typvar'], tlevels['etiket'],
verbose=False)
r3d.update({
'rfld' : press['rfld'],
'phPa' : press['phPa']
})
return r3d
def _makevars(self):
from fstd2nc.mixins import _iter_type, _var_type, _axis_type, _dim_type
from collections import OrderedDict
from rpnpy.librmn.interp import ezqkdef, EzscintError, ezget_nsubgrids
from rpnpy.librmn.all import readGrid, RMNError
import numpy as np
# Scan through the data, and look for any use of horizontal coordinates.
grids = OrderedDict()
gridmaps = OrderedDict()
lats = OrderedDict()
lons = OrderedDict()
# Only output 1 copy of 1D coords (e.g. could have repetitions with
# horizontal staggering.
coords = set()
super(XYCoords, self)._makevars()
# Make sure any LA/LO records get processed first, so we can apply them as
# coordinates to other variables.
varlist = self._varlist
varlist = [v for v in varlist if v.name in ('LA', 'LO')
] + [v for v in varlist if v.name not in ('LA', 'LO')]
for var in varlist:
# Don't touch variables with no horizontal grid.
if all(a not in var.dims for a in ('i', 'j', 'station_id')):
continue
# Get grid parameters.
ni = int(var.atts['ni'])
nj = int(var.atts['nj'])
grtyp = var.atts['grtyp']
ig1 = int(var.atts['ig1'])
ig2 = int(var.atts['ig2'])
ig3 = int(var.atts['ig3'])
ig4 = int(var.atts['ig4'])
# Uniquely identify the grid for this variable.
#
# Use a looser identifier for timeseries data (ni/nj have different
# meanings here (not grid-related), and could have multiple grtyp
# values ('+','Y') that should share the same lat/lon info.
if var.atts.get('typvar', '').strip() == 'T':
key = ('T', ig1, ig2)
else:
key = (grtyp, ni, nj, ig1, ig2, ig3, ig4)
if grtyp in ('Y', '+'): key = key[1:]
# Check if we already defined this grid.
if key not in grids:
lat = lon = xaxis = yaxis = None
# Check if GridMap recognizes this grid.
if grtyp not in self._direct_grids:
try:
grd = readGrid(self._meta_funit, var.atts.copy())
gmap = GridMap.gen_gmap(grd)
gmapvar = gmap.gen_gmapvar()
gridmaps[key] = gmapvar
(xaxis, yaxis, gridaxes, lon, lat) = gmap.gen_xyll()
except (TypeError, EzscintError, KeyError, RMNError,
ValueError):
pass # Wasn't supported.
# Otherwise, need to decode the information here.
if lat is None or lon is None:
latatts = OrderedDict()
latatts['long_name'] = 'latitude'
latatts['standard_name'] = 'latitude'
latatts['units'] = 'degrees_north'
lonatts = OrderedDict()
lonatts['long_name'] = 'longitude'
lonatts['standard_name'] = 'longitude'
lonatts['units'] = 'degrees_east'
latarray = lonarray = None
try:
# First, handle non-ezqkdef grids.
if grtyp in self._direct_grids:
latarray = self._find_coord(
var, '^^')['d'].squeeze(axis=2)
lonarray = self._find_coord(
var, '>>')['d'].squeeze(axis=2)
# Handle ezqkdef grids.
else:
gdid = ezqkdef(ni, nj, grtyp, ig1, ig2, ig3, ig4,
self._meta_funit)
ll = gdll(gdid)
latarray = ll['lat']
lonarray = ll['lon']
xycoords = gdgaxes(gdid)
ax = xycoords['ax'].transpose()
ay = xycoords['ay'].transpose()
# Convert from degenerate 2D arrays to 1D arrays.
ax = ax[0, :]
ay = ay[:, 0]
xaxis = _axis_type('x', {'axis': 'X'}, ax)
yaxis = _axis_type('y', {'axis': 'Y'}, ay)
except (TypeError, EzscintError, KeyError, RMNError,
ValueError):
pass
# Check for LA/LO variables, and use these as the coordinates if
# nothing else available.
if latarray is None and var.name == 'LA':
var.name = 'lat'
var.atts.update(latatts)
#grids[key] = list(var.axes)
lats[key] = var
continue
if lonarray is None and var.name == 'LO':
var.name = 'lon'
var.atts.update(lonatts)
grids[key] = list(var.axes)
lons[key] = var
continue
if latarray is None or lonarray is None:
warn(
_("Unable to get lat/lon coordinates for '%s'") %
var.name)
continue
# Construct lat/lon variables from latarray and lonarray.
latarray = latarray.transpose(
) # Switch from Fortran to C order.
lonarray = lonarray.transpose(
) # Switch from Fortran to C order.
# Case 1: lat/lon can be resolved into 1D Cartesian coordinates.
# Calculate the mean lat/lon arrays in double precision.
meanlat = np.mean(np.array(latarray, dtype=float),
axis=1,
keepdims=True)
meanlon = np.mean(np.array(lonarray, dtype=float),
axis=0,
keepdims=True)
if latarray.shape[
1] > 1 and lonarray.shape[1] > 1 and np.allclose(
latarray, meanlat) and np.allclose(
lonarray, meanlon):
# Reduce back to single precision for writing out.
meanlat = np.array(meanlat,
dtype=latarray.dtype).squeeze()
meanlon = np.array(meanlon,
dtype=lonarray.dtype).squeeze()
# Ensure monotonicity of longitude field.
# (gdll may sometimes wrap last longitude to zero).
# Taken from old fstd_core.c code.
if meanlon[-2] > meanlon[-3] and meanlon[-1] < meanlon[
-2]:
meanlon[-1] += 360.
latarray = meanlat
lonarray = meanlon
lat = _axis_type('lat', latatts, latarray)
lon = _axis_type('lon', lonatts, lonarray)
gridaxes = [lat, lon]
# Case 2: lat/lon are series of points.
elif latarray.shape[0] == 1 and lonarray.shape[
0] == 1 and ('i' in var.dims
or 'station_id' in var.dims):
latarray = latarray[0, :]
lonarray = lonarray[0, :]
# Special case for station data
station_id = var.getaxis('station_id')
if station_id is not None:
gridaxes = [station_id]
# Subset the lat/lon to the stations that are actually found.
# Assuming the station id (ip3) starts at 1.
if isinstance(station_id, _axis_type):
indices = np.array(station_id.array,
dtype=int) - 1
latarray = latarray[indices]
lonarray = lonarray[indices]
else:
gridaxes = [var.getaxis('i')]
lat = _var_type('lat', latatts, gridaxes, latarray)
lon = _var_type('lon', lonatts, gridaxes, lonarray)
# Case 3: General 2D lat/lon fields on X/Y coordinate system.
elif xaxis is not None and yaxis is not None:
gridaxes = [yaxis, xaxis]
# Special case: have supergrid data, and the user wants to split it?
if grtyp == 'U' and self._subgrid_axis:
ngrids = ezget_nsubgrids(gdid)
ny = len(yaxis.array) // ngrids
yaxis.array = yaxis.array[:ny]
subgrid = _dim_type('subgrid', ngrids)
gridaxes = [subgrid, yaxis, xaxis]
latarray = latarray.reshape(ngrids, ny, -1)
lonarray = lonarray.reshape(ngrids, ny, -1)
lat = _var_type('lat', latatts, gridaxes, latarray)
lon = _var_type('lon', lonatts, gridaxes, lonarray)
# Case 4: General 2D lat/lon fields with no coordinate system.
elif 'i' in var.dims and 'j' in var.dims:
gridaxes = [var.getaxis('j'), var.getaxis('i')]
lat = _var_type('lat', latatts, gridaxes, latarray)
lon = _var_type('lon', lonatts, gridaxes, lonarray)
# --- End of lat/lon/xaxis/yaxis decoding.
if lat is None or lon is None:
warn(
_("Unable to get lat/lon coordinates for '%s'") %
var.name)
continue
# Sanity check on lat/lon - make sure we have something of the right size.
if lat.array.shape == lat.shape and lon.array.shape == lon.shape:
grids[key] = gridaxes
lats[key] = lat
lons[key] = lon
else:
warn(_("Wrong shape of lat/lon for '%s'") % var.name)
continue
# --- End of grid decoding.
gridaxes = grids[key]
lat = lats[key]
lon = lons[key]
# Update the var's horizontal coordinates.
newaxes = []
if len(gridaxes) == 1:
newaxes = [('i', gridaxes[0])]
elif len(gridaxes) == 2:
newaxes = [('j', gridaxes[0]), ('i', gridaxes[1])]
elif len(gridaxes) == 3:
newaxes = [('k', gridaxes[0]), ('j', gridaxes[1]),
('i', gridaxes[2])]
else:
warn(_("Unusual grid axes for '%s' - ignoring.") % var.name)
dims = var.dims
for oldname, newaxis in newaxes:
if oldname in dims:
var.axes[dims.index(oldname)] = newaxis
# For 2D lat/lon, need to reference them as coordinates in order for
# netCDF viewers to display the field properly.
if 'lat' not in var.dims or 'lon' not in var.dims:
coordinates = var.atts.get('coordinates', [])
coordinates.extend([lon, lat])
var.atts['coordinates'] = coordinates
if key in gridmaps:
var.atts['grid_mapping'] = gridmaps[key]
# Throw out superfluous LA/LO variables, if lat/lon was already decoded.
if var.name == 'LA' and ('lat' in var.dims or lat in coordinates):
var.name = None
if var.name == 'LO' and ('lon' in var.dims or lon in coordinates):
var.name = None
self._varlist = [v for v in varlist if v.name is not None]
def test_41(self):
"""
Horizontal Interpolation
See also:
"""
import os, sys, datetime
import rpnpy.librmn.all as rmn
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameIn = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
fileNameOut = 'p0fstfile.fst'
# Restric to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
try:
# Create Destination grid
# Note: Destination grid can also be read from a file
gp = {
'grtyp' : 'Z',
'grref' : 'E',
'ni' : 90,
'nj' : 45,
'lat0' : 35.,
'lon0' : 250.,
'dlat' : 0.5,
'dlon' : 0.5,
'xlat1' : 0.,
'xlon1' : 180.,
'xlat2' : 1.,
'xlon2' : 270.
}
gOut = rmn.encodeGrid(gp)
print("CB41: Defined a %s/%s grid of shape=%d, %d" %
(gOut['grtyp'], gOut['grref'], gOut['ni'], gOut['nj']))
except:
sys.stderr.write("Problem creating grid\n")
sys.exit(1)
# Open Files
try:
fileIdIn = rmn.fstopenall(fileNameIn)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
except:
sys.stderr.write("Problem opening the files: %s, %s\n" % (fileNameIn, fileNameOut))
sys.exit(1)
try:
# Find and read record to interpolate with its grid
r = rmn.fstlir(fileIdIn, nomvar='P0')
gIn = rmn.readGrid(fileIdIn, r)
print("CB41: Read P0")
# Set interpolation options and interpolate
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE, rmn.EZ_INTERP_LINEAR)
d = rmn.ezsint(gOut, gIn, r)
print("CB41: Interpolate P0")
# Create new record to write with interpolated data and
r2 = r.copy() # Preserve meta from original record
r2.update(gOut) # update grid information
r2.update({ # attach data and update specific meta
'etiket': 'my_etk',
'd' : d
})
# Write record data + meta + grid to file
rmn.fstecr(fileIdOut, r2)
rmn.writeGrid(fileIdOut, gOut)
print("CB41: Wrote interpolated P0 and its grid")
except:
pass
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_23(self):
"""
Edit: Read, Edit, Write records with meta, grid and vgrid
This example shows how to
* select records in a RPNStd file
* read the record data + meta
* edit/use record data and meta (compute the wind velocity)
* write the recod data + meta
* copy (read/write) the record grid descriptors
* copy (read/write) the file vgrid descriptor
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.fsrinl
rpnpy.librmn.fstd98.fsrluk
rpnpy.librmn.fstd98.fsrlir
rpnpy.librmn.fstd98.fsrecr
rpnpy.librmn.grids.readGrid
rpnpy.librmn.grids.writeGrid
rpnpy.vgd.base.vgd_read
rpnpy.vgd.base.vgd_write
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys, datetime
from scipy.constants import knot as KNOT2MS
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameIn = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
fileNameOut = 'uvfstfile.fst'
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open Files
try:
fileIdIn = rmn.fstopenall(fileNameIn)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
except:
sys.stderr.write("Problem opening the files: %s, %s\n" % (fileNameIn, fileNameOut))
sys.exit(1)
try:
# Copy the vgrid descriptor
v = vgd.vgd_read(fileIdIn)
vgd.vgd_write(v, fileIdOut)
print("CB23: Copied the vgrid descriptor")
# Loop over the list of UU records to copy
uu = {'d': None}
vv = {'d': None}
uvarray = None
copyGrid = True
for k in rmn.fstinl(fileIdIn, nomvar='UU'):
# Read the UU record data and meta from fileNameIn
# Provide data array to re-use memory
uu = rmn.fstluk(k, dataArray=uu['d'])
# Read the corresponding VV
# Provide data array to re-use memory
vv = rmn.fstlir(fileIdIn, nomvar='VV',
ip1=uu['ip1'], ip2=uu['ip2'], datev=uu['datev'],
dataArray=vv['d'])
# Compute the wind modulus in m/s
# Copy metadata from the UU record
# Create / re-use memory space for computation results
uv = uu.copy()
if uvarray is None:
uvarray = np.empty(uu['d'].shape, dtype=uu['d'].dtype, order='FORTRAN')
uv['d'] = uvarray
uv['d'][:,:] = np.sqrt(uu['d']**2. + vv['d']**2.)
uv['d'] *= KNOT2MS # Convert from knot to m/s
# Set new record name and Write it to fileNameOut
uv['nomvar'] = 'WSPD'
rmn.fstecr(fileIdOut, uv)
print("CB23: Wrote %s ip1=%d, ip2=%d, dateo=%s : mean=%f" %
(uv['nomvar'], uv['ip1'], uv['ip2'], uv['dateo'], uv['d'].mean()))
# Read and Write grid (only once, all rec are on the same grid)
if copyGrid:
copyGrid = False
g = rmn.readGrid(fileIdIn, uu)
rmn.writeGrid(fileIdOut, g)
print("CB23: Copied the grid descriptors")
except:
pass
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file