Esempio n. 1
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        },
    ]

    axisIds = list()
    # Create list of axes
    for axis in axes:
        axisId = cmor.axis(**axis)
        axisIds.append(axisId)

#pdb.set_trace() ; # Debug statement

# Setup units and create variable to write using cmor - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
    d1.units = outputUnits[fi]
    varid = cmor.variable(outputVarName[fi],
                          d1.units,
                          axisIds,
                          missing_value=d1.missing)
    values = np.array(d1[:], np.float32)

    # Append valid_min and valid_max to variable before writing using cmor - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
    #cmor.set_variable_attribute(varid,'valid_min','f',2.0)
    #cmor.set_variable_attribute(varid,'valid_max','f',3.0)

    # Prepare variable for writing, then write and close file - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
    cmor.set_deflate(varid, 1, 1, 1)
    # shuffle=1,deflate=1,deflate_level=1 - Deflate options compress file data
    cmor.write(varid, values, time_vals=time[:], time_bnds=time.getBounds())
    # Write variable with time axis
    f.close()
    cmor.close()
Esempio n. 2
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             },
             {'table_entry': 'latitude',
              'units': 'degrees_north',
              'coord_vals': lat[:],
              'cell_bounds': lat.getBounds()},
             {'table_entry': 'longitude',
              'units': 'degrees_east',
              'coord_vals': lon[:],
              'cell_bounds': lon.getBounds()},
          ]
axisIds = list() ; # Create list of axes
for axis in axes:
    axisId = cmor.axis(**axis)
    axisIds.append(axisId)

#pdb.set_trace() ; # Debug statement

# Setup units and create variable to write using cmor - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
d.units = outputUnits
varid   = cmor.variable(outputVarName,d.units,axisIds,missing_value=d.missing)
values  = np.array(d[:],np.float32)

# Append valid_min and valid_max to variable before writing using cmor - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
cmor.set_variable_attribute(varid,'valid_min','f',2.0)
cmor.set_variable_attribute(varid,'valid_max','f',3.0)

# Prepare variable for writing, then write and close file - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
cmor.set_deflate(varid,1,1,1) ; # shuffle=1,deflate=1,deflate_level=1 - Deflate options compress file data
cmor.write(varid,values,time_vals=time[:],time_bnds=time.getBounds()) ; # Write variable with time axis
f.close()
cmor.close()

myaxes[2] = cmor.axis(table_entry = 'time',
                      units = s.getTime().units,
                      coord_vals = s.getTime()[:],cell_bounds=s.getTime().getBounds())

pass_axes = [myaxes[2],myaxes[0],myaxes[1]]

myvars[0] = cmor.variable( table_entry = varout,
                           units = s.units,
                           axis_ids = pass_axes,
                           original_name = s.id,
                           history = 'no history',
                           comment = 'testing speed'
                           )
cmor.set_deflate(myvars[0], shuffle, 1, level)

import time,MV2
st = time.time()
totcmor=0
totcdms=0
maxcmor=0
mincmor=1000
maxcdms=0
mincdms=1000
c0=st
f=cdms2.open("Test/crap.nc","w")
#print 'Time:',i
print s.filled().shape
cmor.write(myvars[0],s.filled(),ntimes_passed=ntimes)
c=time.time()
            #pdb.set_trace() ; # Debug statement

            # Setup units and create variable to write using cmor - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
            d.units = outputUnits
            if inputDict[key][var]['positive'] == 'down':
                varid   = cmor.variable(outputVarName,d.units,axisIds,missing_value=d.missing,positive='down')
            else:
                varid   = cmor.variable(outputVarName,d.units,axisIds,missing_value=d.missing) ; # This is not trapping the correct missing_value
            values  = np.array(d[:],np.float32)

            # Append valid_min and valid_max to variable before writing - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
            #cmor.set_variable_attribute(varid,'valid_min','f',2.0)
            #cmor.set_variable_attribute(varid,'valid_max','f',3.0)

            # Prepare variable for writing, then write and close file - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
            cmor.set_deflate(varid,1,1,1) ; # shuffle=1,deflate=1,deflate_level=1 - Deflate options compress file data
            print 'Start CMOR write..'
            if key == 'OmonC':
                cmor.write(varid,values) ; # Write variable with time axis
            elif key == 'OyrC':  
                cmor.write(varid,values) ; # Write variable with time axis
            elif key == 'LIyrC':  
                cmor.write(varid,values) ; # Write variable with time axis
            elif key == 'Ofx':  
                cmor.write(varid,values) ; # Write variable without time axis
            elif key == 'LIfx':  
                cmor.write(varid,values) ; # Write variable without time axis
            else:
                cmor.write(varid,values,time_vals=time,time_bnds=time.getBounds()) ; # Write variable with time axis
            print 'End CMOR write..'
            # Alteratively write in append mode
Esempio n. 5
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def main(args, opts):
    print args
    print opts

    print 'python ./cmor4alma.gswp3.py ALAM_VarName'
    print '----------------------------------------' + '\n'

    almavn = args[0]

    alma = ALMA(almavn)

    # read json file &
    # Update frequency based on variable and write output to CMOR input file
    prjJson = json.load(open('./gswp3-do-input.json'))
    prjJson['frequency'] = alma.cmorjson('variable_entry')['frequency']

    json.dump(prjJson,
              open('tmp.json', 'w'),
              ensure_ascii=True,
              encoding='utf-8',
              sort_keys=True)

    print '=' * 80
    print 'CMOR Table Path:', alma.tblpath

    for srcpath in alma.fileList:

        print srcpath
        f = cdm.open(srcpath)
        d = f(alma.varname)
        # Or use temporal subset for testing below

        # Reset missing value
        d.setMissing(1e20)
        # This should also set fill_value, and suppress CMOR variable history being written

        # Get axes
        lat = d.getLatitude()
        lon = d.getLongitude()
        time = d.getTime()
        # Assumes variable is named 'time', for the demo file this is named 'months'

        #%% Initialize and run CMOR
        print 'Start CMORizing..'
        # For more information see https://cmor.llnl.gov/mydoc_cmor3_api/
        cmor.setup(
            inpath='./',
            netcdf_file_action=cmor.CMOR_REPLACE_4)  #,logfile='cmorLog.txt')
        cmor.dataset_json('tmp.json')
        cmor.load_table(alma.tblpath)

        if hasattr(alma, 'heightEntry'):
            axisIds = [
                cmor.axis(**CMORAxes.get_timeAx(alma, time)),
                cmor.axis(**CMORAxes.get_heightAx(alma, cdm)),
                cmor.axis(**CMORAxes.get_latitudalAx(lat)),
                cmor.axis(**CMORAxes.get_longitudalAx(lon)),
            ]

        else:
            axisIds = [
                cmor.axis(**CMORAxes.get_timeAx(alma, time)),
                cmor.axis(**CMORAxes.get_latitudalAx(lat)),
                cmor.axis(**CMORAxes.get_longitudalAx(lon)),
            ]

        print axisIds

        # Setup units and create variable to write using cmor - see https://cmor.llnl.gov/mydoc_cmor3_api/#cmor_set_variable_attribute
        d.units = alma.outputUnits
        varid = cmor.variable(alma.outputVarName,
                              d.units,
                              axisIds,
                              missing_value=d.missing,
                              positive=alma.positive)

        values = np.array(d[:], np.float32)

        cmor.set_deflate(varid, 1, 1, 1)
        # shuffle=1,deflate=1,deflate_level=1 - Deflate options compress file data
        # Write variable with time axis
        cmor.write(varid, values, time_vals=time, time_bnds=time.getBounds())

        f.close()
        cmor.close()

    os.remove('tmp.json')

    return
Esempio n. 6
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                        {'table_entry': 'latitude',
                         'units': 'degrees_north',
                         'coord_vals': lat[:],
                         'cell_bounds': lat.getBounds()},
                        {'table_entry': 'longitude',
                         'units': 'degrees_east',
                         'coord_vals': lon[:],
                         'cell_bounds': lon.getBounds()},
                      ]
            axis_ids = list()
            for axis in axes:
                axis_id = cmor.axis(**axis)
                axis_ids.append(axis_id)
            varid   = cmor.variable(var.id,var.units,axis_ids)
            values  = np.array(d[:],np.float32)
            cmor.set_deflate(varid,1,1,1) ; # shuffle=1,deflate=1,deflate_level=1 ; CMOR 3.0.6+
            cmor.write(varid,values,time_vals=time[:],time_bnds=time.getBounds())
            f.close()
            cmor.close()
            # Cleanup
            del(outFile,var,f,d,lat,lon,time) ; gc.collect()

      # Write obs variables
        if 'amipobs' in filePath:
            cmor.setup(inpath='CMOR/input4MIPs-cmor-tables/Tables',netcdf_file_action=cmor.CMOR_REPLACE_4)
            cmor.dataset_json("CMOR/drive_input4MIPs_obs.json")
            f       = cdm.open(outFile)
            d       = f[var.id]
            lat     = d.getLatitude()
            lon     = d.getLongitude()
            time    = d.getTime()