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我试图解决两个在给定域上几何变化的自变量。我想在单个查看器显示中绘制它们的差异。如何在单个查看器框中为自变量获得两个不同的等高线图？我已将以下代码用于双轮廓，但无法为两个变量（在我的情况下为相位伽马和相位西格玛）获得不同的轮廓。请建议如何纠正它或以任何其他可能的方式在一个图中获得两个轮廓。

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.)

除了 ImportError: viewer = MultiViewer(viewers=(Viewer(vars=phasesigma,datamin=0.,datamax=1),Viewer(vars=phasegamma,datamin=0.,datamax=1.)))

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1 回答 1

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刚看到这个，希望对你有用。我不确定您的版本为什么不起作用，尽管我通常发现 pylab 的工作水平太高并且自动完成了太多事情。

我基于以下内容Matplotlib2DContourViewer，它似乎可以满足您的要求：

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()
于 2013-09-13T19:32:40.240 回答