def __init__(self, *args, **kwargs):
if kwargs.get('value') is None and kwargs.get('data') is None:
msg = 'Without a "data" object, "value" is required.'
raise ValueError(msg)
self._bounds = None
self._name_bounds = None
self._name_bounds_tuple = None
self.name_bounds_dimension = kwargs.pop('name_bounds_dimension', OCGIS_BOUNDS)
bounds = kwargs.pop('bounds', None)
# used for creating name_bounds as well as the name of the bounds dimension in netCDF
self.name_bounds = kwargs.pop('name_bounds', None)
self.name_bounds_tuple = kwargs.pop('name_bounds_tuple', None)
self.axis = kwargs.pop('axis', None)
# if True, bounds were interpolated. if False, they were loaded from source data. used in conforming units.
self._has_interpolated_bounds = False
AbstractSourcedVariable.__init__(self, kwargs.pop('data', None), kwargs.pop('src_idx', None))
AbstractUidValueDimension.__init__(self, *args, **kwargs)
# setting bounds requires checking the data type of value set in a superclass.
self.bounds = bounds
# conform any units if they provided. check they are not equivalent first
if self.conform_units_to is not None:
if not self.conform_units_to.equals(self.cfunits):
self.cfunits_conform(self.conform_units_to)
def cfunits_conform(self, *args, **kwargs):
# Get the from units before conforming the value. The units are changed in the value conform.
from_units = kwargs.get('from_units') or self.cfunits
# Store the original units to use for bounds conversion.
self._original_units = self.cfunits
# Conform the value.
AbstractSourcedVariable.cfunits_conform(self, *args, **kwargs)
# Conform the units
if self._bounds is not None:
self._bounds = get_conformed_units(self._bounds, from_units, args[0])
def __init__(self,*args,**kwds):
bounds = kwds.pop('bounds',None)
self.name_bounds = kwds.pop('name_bounds',None)
self._axis = kwds.pop('axis',None)
AbstractSourcedVariable.__init__(self,kwds.pop('data',None),src_idx=kwds.pop('src_idx',None),value=kwds.get('value'))
AbstractUidValueDimension.__init__(self,*args,**kwds)
## setting bounds requires checking the data type of value set in a
## superclass.
self.bounds = bounds
if self._axis is None:
self._axis = 'undefined'
def __init__(self,*args,**kwds):
bounds = kwds.pop('bounds',None)
self.name_bounds = kwds.pop('name_bounds',None)
self._axis = kwds.pop('axis',None)
## if True, an attempt will be made to interpolate bounds if None are
## provided.
self._interpolate_bounds = kwds.pop('interpolate_bounds',False)
## if True, bounds were interpolated. if False, they were loaded from
## source data
self._has_interpolated_bounds = False
AbstractSourcedVariable.__init__(self,
kwds.pop('data',None),
src_idx=kwds.pop('src_idx',None),
value=kwds.get('value'),
dtype=kwds.get('dtype'))
AbstractUidValueDimension.__init__(self,*args,**kwds)
## setting bounds requires checking the data type of value set in a
## superclass.
self.bounds = bounds
if self._axis is None:
self._axis = 'undefined'
def __init__(self, *args, **kwargs):
self._name_value = None
self.name_value = kwargs.pop('name_value', None)
AbstractSourcedVariable.__init__(self, *args, **kwargs)
def _set_value_(self, value):
value = get_none_or_array(value, self._ndims, masked=False)
AbstractSourcedVariable._set_value_(self, value)