def varOfFile(filename) :
lvars=varsOfFile(filename)
if len(lvars) > 1 :
clogger.debug("Got multiple variables (%s) and "
"no direction to choose - File is %s" %\
(`lvars`,filename))
return(None)
if len(lvars)==1 : return lvars[0]
def varOfFile(filename):
lvars = varsOfFile(filename)
if len(lvars) > 1:
clogger.debug(
"Got multiple variables (%s) and no direction to choose - File is %s"
% (repr(lvars), filename))
return None
if len(lvars) == 1:
return lvars[0]
def model_id(filename):
"""
"""
from anynetcdf import ncf
rep = 'no_model'
clogger.debug("opening " + filename)
f = ncf(filename, 'r')
if 'model_id' in dir(f): rep = f.model_id
f.close()
return (rep)
def model_id(filename):
"""
"""
from anynetcdf import ncf
rep='no_model'
clogger.debug("opening "+filename)
f=ncf(filename, 'r')
if 'model_id' in dir(f) : rep=f.model_id
f.close()
return(rep)
def dimsOfFile(filename):
"""
returns the list of dimensions of the netcdf file filename
"""
from anynetcdf import ncf
rep = False
clogger.debug("opening " + filename + " for checking the dimensions")
fileobj = ncf(filename)
dims = fileobj.dimensions
if isinstance(dims, dict): dims = dims.keys()
fileobj.close()
return (dims)
def fileHasVar(filename,varname):
"""
returns True if FILENAME has variable VARNAME
"""
from anynetcdf import ncf
rep=False
clogger.debug("opening "+filename+" for checkin if has variable"+varname)
fileobj=ncf(filename)
vars=fileobj.variables
if isinstance(vars,dict ) : vars=vars.keys()
for filevar in vars :
if filevar == varname :
rep=True
break
fileobj.close()
return(rep)
def fileHasVar(filename,varname):
"""
returns True if FILENAME has variable VARNAME
"""
from anynetcdf import ncf
rep=False
clogger.debug("opening "+filename+" for checkin if has variable"+varname)
fileobj=ncf(filename)
vars=fileobj.variables
if isinstance(vars,dict ) : vars=vars.keys()
for filevar in vars :
if filevar == varname :
rep=True
break
fileobj.close()
return(rep)
def fileHasVar(filename,varname):
"""
returns True if FILENAME has variable VARNAME
"""
from Scientific.IO.NetCDF import NetCDFFile as ncf
rep=False
clogger.debug("opening "+filename)
try :
fileobj=ncf(filename)
except:
clogger.error("Issue opening file "+filename)
return False
for filevar in fileobj.variables :
if filevar == varname :
rep=True
break
fileobj.close()
return(rep)
def fileHasDim(filename, dimname):
"""
returns True if FILENAME has dimension dimname
"""
from anynetcdf import ncf
rep = False
clogger.debug("opening " + filename + " for checkin if has dimension " +
dimname)
fileobj = ncf(filename)
dims = fileobj.dimensions
vars = fileobj.variables
if isinstance(dims, dict): dims = dims.keys()
if isinstance(vars, dict): vars = vars.keys()
dims = dims + vars
for filedim in dims:
if filedim == dimname:
rep = True
break
fileobj.close()
return (rep)
def varOfFile(filename) :
"""
returns the name of the unique non-dimension variable in
NetCDF file FILENAME, or None if it is not unique
"""
from Scientific.IO.NetCDF import NetCDFFile as ncf
varname=None
fileobj=ncf(filename)
#import NetCDF4
#fileobj=netCDF4.Dataset(filename)
for filevar in fileobj.variables :
if ((filevar not in fileobj.dimensions) and
not re.findall("^time_",filevar) and
not re.findall("_bnds$",filevar) ):
if varname is None :
varname=filevar
else :
clogger.debug("Got at least two variables (%s and %s) "
"and no direction to choose - File is %s"%\
(varname,filevar,filename))
return(None)
fileobj.close()
return(varname)
