def variable(table_entry,units,axis_ids,type='f',missing_value=None,tolerance = 1.e-4,positive=None,original_name=None,history=None,comment=None):
if not isinstance(table_entry,str):
raise Exception, "Error you must pass a string for the variable table_entry"
if not isinstance(units,str):
raise Exception, "Error you must pass a string for the variable units"
if original_name is not None:
if not isinstance(original_name,str):
raise Exception, "Error you must pass a string for the variable original_name"
else:
original_name = ""
if history is not None:
if not isinstance(history,str):
raise Exception, "Error you must pass a string for the variable history"
else:
history = ""
if comment is not None:
if not isinstance(comment,str):
raise Exception, "Error you must pass a string for the variable comment"
else:
comment = ""
if numpy.ma.isMA(axis_ids):
axis_ids = numpy.ascontiguousarray(axis_ids.filled())
elif has_oldma and numpy.oldnumeric.ma.isMA(axis_ids):
axis_ids = numpy.ascontiguousarray(axis_ids.filled())
elif has_cdms2 and cdms2.isVariable(axis_ids):
axis_ids = numpy.ascontiguousarray(axis_ids.filled())
elif isinstance(axis_ids,(list,tuple)):
axis_ids = numpy.ascontiguousarray(axis_ids)
elif not isinstance(axis_ids, numpy.ndarray):
raise Exception, "Error could not convert axis_ids list to a numpy array"
if numpy.ndim(axis_ids)>1:
raise Exception, "error axis_ids list/array must be 1D"
if not isinstance(type,str):
raise Exception, "error tpye must a a string"
type = type.lower()
if type == 's':
type ='c'
if not type in ["c","d","f","l","i"]:
raise Exception, 'error unknown type: "%s", must be one of: "c","d","f","l","i"'
ndims = len(axis_ids)
if positive is None:
positive = ""
else:
positive = str(positive)
if history is None:
history = ""
else:
history = str(history)
if comment is None:
comment = ""
else:
comment = str(comment)
if not isinstance(tolerance,(float,int,numpy.float,numpy.float32,numpy.int,numpy.int32)):
raise Exception, "error tolerance must be a number"
tolerance = float(tolerance)
if missing_value is not None:
if not isinstance(missing_value,(float,int,numpy.float,numpy.float32,numpy.int,numpy.int32)):
raise Exception, "error missing_value must be a number, you passed: %s" % repr(missing_value)
missing_value = float(missing_value)
axis_ids=axis_ids.astype('i')
return _cmor.variable(table_entry,units,ndims,axis_ids,type,missing_value,tolerance,positive,original_name,history,comment)
def variable(table_entry,
units,
axis_ids,
type='f',
missing_value=None,
tolerance=1.e-4,
positive=None,
original_name=None,
history=None,
comment=None):
if not isinstance(table_entry, str):
raise Exception, "Error you must pass a string for the variable table_entry"
if not isinstance(units, str):
raise Exception, "Error you must pass a string for the variable units"
if original_name is not None:
if not isinstance(original_name, str):
raise Exception, "Error you must pass a string for the variable original_name"
else:
original_name = ""
if history is not None:
if not isinstance(history, str):
raise Exception, "Error you must pass a string for the variable history"
else:
history = ""
if comment is not None:
if not isinstance(comment, str):
raise Exception, "Error you must pass a string for the variable comment"
else:
comment = ""
if numpy.ma.isMA(axis_ids):
axis_ids = numpy.ascontiguousarray(axis_ids.filled())
elif has_oldma and numpy.oldnumeric.ma.isMA(axis_ids):
axis_ids = numpy.ascontiguousarray(axis_ids.filled())
elif has_cdms2 and cdms2.isVariable(axis_ids):
axis_ids = numpy.ascontiguousarray(axis_ids.filled())
elif isinstance(axis_ids, (list, tuple)):
axis_ids = numpy.ascontiguousarray(axis_ids)
elif not isinstance(axis_ids, numpy.ndarray):
raise Exception, "Error could not convert axis_ids list to a numpy array"
if numpy.ndim(axis_ids) > 1:
raise Exception, "error axis_ids list/array must be 1D"
if not isinstance(type, str):
raise Exception, "error tpye must a a string"
type = type.lower()
if type == 's':
type = 'c'
if not type in ["c", "d", "f", "l", "i"]:
raise Exception, 'error unknown type: "%s", must be one of: "c","d","f","l","i"'
ndims = len(axis_ids)
if positive is None:
positive = ""
else:
positive = str(positive)
if history is None:
history = ""
else:
history = str(history)
if comment is None:
comment = ""
else:
comment = str(comment)
if not isinstance(
tolerance,
(float, int, numpy.float, numpy.float32, numpy.int, numpy.int32)):
raise Exception, "error tolerance must be a number"
tolerance = float(tolerance)
if missing_value is not None:
if not isinstance(
missing_value,
(float, int, numpy.float, numpy.float32, numpy.int, numpy.int32)):
raise Exception, "error missing_value must be a number, you passed: %s" % repr(
missing_value)
missing_value = float(missing_value)
axis_ids = axis_ids.astype('i')
return _cmor.variable(table_entry, units, ndims, axis_ids, type,
missing_value, tolerance, positive, original_name,
history, comment)