def asdimarray(self, x, y, fill_value=-9999.0):
dims = []
ydim = Dimension(DimensionType.Y)
ydim.setDimValues(y.aslist())
dims.append(ydim)
xdim = Dimension(DimensionType.X)
xdim.setDimValues(x.aslist())
dims.append(xdim)
return DimArray(self, dims, fill_value)
def __init__(self, variable, dataset):
self.variable = variable
self.dataset = dataset
self.name = variable.getName()
self.dtype = np.dtype.fromjava(variable.getDataType())
self.ndim = variable.getDimNumber()
self.fill_value = variable.getFillValue()
self.scale_factor = variable.getScaleFactor()
self.add_offset = variable.getAddOffset()
dims = variable.getDimensions()
tdim = Dimension(DimensionType.T)
times = []
for t in self.dataset.times:
times.append(miutil.date2num(t))
tdim.setDimValues(times)
dims[0] = tdim
self.dims = dims
self.tnum = len(times)
def dimension(dimvalue, dimname='null', dimtype=None):
"""
Create a new Dimension.
:param dimvalue: (*array_like*) Dimension value.
:param dimname: (*string*) Dimension name.
:param dimtype: (*DimensionType*) Dimension type ['X' | 'Y' | 'Z' | 'T'].
"""
if isinstance(dimvalue, (NDArray, DimArray)):
dimvalue = dimvalue.aslist()
dtype = DimensionType.Other
if not dimtype is None:
if dimtype.upper() == 'X':
dtype = DimensionType.X
elif dimtype.upper() == 'Y':
dtype = DimensionType.Y
elif dimtype.upper() == 'Z':
dtype = DimensionType.Z
elif dimtype.upper() == 'T':
dtype = DimensionType.T
dim = Dimension(dtype)
dim.setDimValues(dimvalue)
dim.setShortName(dimname)
return dim
