两个轮廓图在单一的查看器- Python FiPy

Question

我正在尝试解决给定域上几何变化的两个自变量。我想在一个视图中显示它们的方差。我怎么能得到两个不同的等高线图，每个独立变量在单个查看器框?我使用了下面的代码双轮廓，但不能得到不同的轮廓为两个变量(在我的情况下phasegamma和phasesigma)。请建议如何纠正或任何其他可能的方法在一个图中得到两个等高线。

import pylab
class PhaseViewer(Matplotlib2DGridViewer):
   def __init__(self, phasesigma, phasegamma, title = None, limits ={}, **kwlimits):
       self.phasesigma = phasesigma
       self.contour1 = None
       self.phasegamma = phasegamma
       self.contour2 = None
       Matplotlib2DGridViewer.__init__(self, vars=(1-phasegamma-phasesigma),title=title,cmap=pylab.cm.hot,limits ={}, **kwlimits)
   def _plot(self):
       Matplotlib2DGridViewer._plot(self)
       if self.contour1 is not None or self.contour2 is not None:
          for Ccr in self.contour1.collections:
                  Ccr.remove()
          for Cni in self.contour1.collections:
                  Cni.remove()    
       mesh = self.phasesigma.getMesh()
       mesh2 = self.phasegamma.getMesh()
       shape = mesh.getShape()
       shape2 = mesh2.getShape()
       x, y = mesh.getCellCenters()
       z = self.phasesigma.getValue()
       x, y, z = [a.reshape(shape, order="FORTRAN") for a in (x, y, z)]
       self.contour1 = pylab.contour(x, y, z, (0.5,))
       l, m = mesh1.getCellCenters()
       w = self.phasegamma.getValue()
       l, m, w = [b.reshape(shape, order ="FORTRAN") for b in (l, m, w)]
       self.contour2 = pylab.contour(l, m, w, (0.5,))
       raw_input("check2")
viewer = PhaseViewer(phasesigma=phasesigma, phasegamma=phasegamma,
            title = r"%s & %s" % (phasegamma.name, phasesigma.name), datamin=0., datamax=1.)

ImportError除外:viewer = MultiViewer(viewer =(viewer (vars=phasesigma,datamin=0.，datamax=1 .)， viewer (vars=phasesigma,datamin=0.，datamax=1 .))

Answer 1

我刚刚看过这个，希望它对你们还是有用的。我不确定为什么你的版本不能工作，尽管我通常发现pylab在太高的级别上工作，并且自动完成了太多的事情。

我基于以下Matplotlib2DContourViewer，它似乎做了你想要的:

class PhaseViewer(Matplotlib2DGridViewer):
   def __init__(self, phasesigma, phasegamma, title = None, limits ={}, **kwlimits):
       self.phasesigma = phasesigma
       self.contour1 = None
       self.phasegamma = phasegamma
       self.contour2 = None
       self.number = 10
       self.levels = None
       Matplotlib2DGridViewer.__init__(self, vars=(1-phasegamma-phasesigma),title=title,cmap=pylab.cm.hot,limits ={}, **kwlimits)
   def _plot(self):
       Matplotlib2DGridViewer._plot(self)
       if hasattr(self, "_contourSet"):
           for countourSet in self._contourSet:
               for collection in ccontourSet.collections:
                   try:
                       ix = self.axes.collections.index(collection)
                   except ValueError, e:
                       ix = None
                   if ix is not None:
                       del self.axes.collections[ix]
       self._contourSet = []
       for var in (self.phasesigma, self.phasegamma):
           mesh = var.mesh
           x, y = mesh.cellCenters
           z = var.value
           xmin, ymin = mesh.extents['min']
           xmax, ymax = mesh.extents['max']
           from matplotlib.mlab import griddata
           xi = fp.numerix.linspace(xmin, xmax, 1000)
           yi = fp.numerix.linspace(ymin, ymax, 1000)
           # grid the data.
           zi = griddata(x, y, z, xi, yi, interp='linear')

           zmin, zmax = self._autoscale(vars=[var],
                                        datamin=self._getLimit(('datamin', 'zmin')),
                                        datamax=self._getLimit(('datamax', 'zmax')))
           self.norm.vmin = zmin
           self.norm.vmax = zmax
           if self.levels is not None:
               levels = self.levels
           else:
               levels = fp.numerix.arange(self.number + 1) * (zmax - zmin) / self.number + zmin

           self._contourSet.append(self.axes.contour(xi, yi, zi, levels=levels, cmap=self.cmap))
       self.axes.set_xlim(xmin=self._getLimit('xmin'),
                          xmax=self._getLimit('xmax'))
       self.axes.set_ylim(ymin=self._getLimit('ymin'),
                          ymax=self._getLimit('ymax'))
       if self.colorbar is not None:
               self.colorbar.plot()