def __init__( self, opspecs: Dict, **kwargs ):
self._opspecs = { key.lower(): value for key,value in opspecs.items() }
ConfigurableObject.__init__( self, **kwargs )
self.water_maps: xr.DataArray = None
self.water_probability: xr.DataArray = None
self.persistent_classes: xr.DataArray = None
self.yearly_lake_masks: xr.DataArray = None
self.roi_bounds: gpd.GeoSeries = None
self.mask_value = 5
def __init__(self, data_dir: str, **kwargs):
ConfigurableObject.__init__(self, **kwargs)
self.data_dir = data_dir
def __init__(self, **kwargs):
ConfigurableObject.__init__(self, **kwargs)
def __init__(self, **kwargs):
ConfigurableObject.__init__(self, **kwargs)
colors = self.getParameter("colors", [(0, 0, 0), (0.5, 1, 0.25),
(1, 1, 0), (0, 0, 1)])
self.setColormap(colors)
def preprocess_input(cls, dataArray: xa.DataArray ) -> xa.DataArray:
if dataArray.ndim == 3: return dataArray
if 'time' not in dataArray.dims:
return BaseOp.time_merge([dataArray])
else:
raise Exception( f"This plotter only works with 3 dimensional [t,y,x] data arrays. Found {dataArray.dims}" )