def init(self, **args):
init_args = args['init']
(grid_file, data_file, interface, varnames, grd_coords, var_proc_op,
ROI, subSpace) = init_args
df = cdms2.open(data_file)
var = df[varnames[0]]
grid_metadata = var.getGrid()
plot_type = args.get('plot_type',
PlotType.getPointsLayout(grid_metadata))
if plot_type == PlotType.Grid:
self.plot = RectGridPlot(**args)
self.plot.init(**args)
else:
self.plot = CPCPlot(**args)
self.plot.init(**args)
def getParameterList(self, **args):
var = args.get('var', None)
extra_parms = args.get('extras', [])
if var <> None:
from Application import getPlotFromVar
plot = getPlotFromVar(var, cm=self)
else:
from RectilinearGridPlot import RectGridPlot
from PointCloudViewer import CPCPlot
p1 = RectGridPlot(cm=self, display=False)
p2 = CPCPlot(cm=self, display=False)
parameter_list = set()
parameter_list.add('Configure')
for cpi in self.parameters.items():
basename = get_parameter_name(cpi[0])
parameter_list.add(basename)
for pname in extra_parms:
parameter_list.add(pname)
# print "Generated parameter_list: " , str( parameter_list )
return parameter_list
def gminit(self, var1, var2, **args):
grid_metadata = var1.getGrid()
plot_type = args.get('plot_type',
PlotType.getPointsLayout(grid_metadata))
args['cell_coordinates'] = self.cell_coordinates
if plot_type == PlotType.Grid:
if self.plot == None:
self.plot = RectGridPlot(**args)
self.plot.gminit(var1, var2, **args)
self.plot.ParameterValueChanged.connect(
self.canvas.processParameterChange)
else:
self.plot.updateModule()
else:
if self.plot == None:
self.plot = CPCPlot(**args)
self.plot.gminit(var1, var2, **args)
self.plot.ParameterValueChanged.connect(
self.canvas.processParameterChange)
else:
self.plot.updateModule()
def getPlotFromVar(var, **args):
grid_metadata = var.getGrid()
plot_type = args.get('plot_type', PlotType.getPointsLayout(grid_metadata))
plot = RectGridPlot(**args) if (plot_type == PlotType.Grid) else CPCPlot(
**args)
return plot
