python - 单个查看器中的两个轮廓图-Python FiPy

我试图解决在给定域上几何变化的两个自变量。我想在单个查看器显示中绘制它们的方差。如何在单个查看器框中为自变量获取两个不同的轮廓图？我对双重轮廓使用了以下代码，但是对于两个变量（在我的情况下为phasegamma和phasesigma）无法获得不同的轮廓。请提出如何对其进行校正或以任何其他可能的方式在一个图中获得两个轮廓的方法。

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：
    查看器= MultiViewer（查看器=（查看器（vars = phasesigma，datamin = 0.，datamax = 1），Viewer（vars = phasegamma，datamin = 0.，datamax = 1。））））

最佳答案

我刚刚看到了这一点，因此希望它对您仍然有用。我不确定为什么您的版本无法正常运行，尽管我通常发现pylab的工作水平过高，并且会自动执行太多操作。

我根据Matplotlib2DContourViewer建立了以下内容，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()

关于python - 单个查看器中的两个轮廓图-Python FiPy，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/17107529/