title: Matplotlib interactive graph embedded in PyQt
body: <p>I've created a simple python script that when run should display an embedded matplotlib graph inside a PyQT window. I've used <a href="http://www.technicaljar.com/?p=688">this</a> tutorial for embedding and running the graph. Aside from some differences in the naming conventions and in the overall UI my graph is generated exactly as the one in the tutorial mentioned.</p>
  
  <p>My problem is that I would like to make this an interactive graph that allows for zooming and dragging, but I would like to do this with only the mouse (clicking and dragging, scroll wheel, etc) and without the toolbar (as I find it ugly).</p>
  
  <p>Widget Class:</p>
  
  <pre><code>class MplCanvas(FigureCanvas):
      """
      Creates a canvas on which to draw our widgets
      """
      def __init__(self):
          self.fig = Figure()
          self.ax = self.fig.add_subplot(111)
  
          FigureCanvas.__init__(self, self.fig)
          FigureCanvas.setSizePolicy(self, QtGui.QSizePolicy.Expanding,QtGui.QSizePolicy.Expanding)
          FigureCanvas.updateGeometry(self)
  
  class marketdephWidget(QtGui.QWidget):
      """
      The market deph graph
      """
      def __init__(self, parent = None):
          QtGui.QWidget.__init__(self, parent)
          self.canvas = MplCanvas()
          self.vbl = QtGui.QVBoxLayout()
          self.vbl.addWidget(self.canvas)
          self.setLayout(self.vbl)
  </code></pre>
  
  <p>Plotting function (run on button press):</p>
  
  <pre><code># initialize the mplwidgets
  def PlotFunc(self):
      randomNumbers = random.sample(range(0, 10), 10)
      self.ui.widget.canvas.ax.clear()
      self.ui.widget.canvas.ax.plot(randomNumbers)
      self.ui.widget.canvas.draw()
  </code></pre>