# 在traitsUI中使用的matplotlib控件 相關文檔： [_設計自己的Trait編輯器_](traitsui_manual_custom_editor.html) 在traitsUI所產生的界面中嵌入matplotlib的控件。  ``` # -*- coding: utf-8 -*- # file name: mpl_figure_editor.py import wx import matplotlib # matplotlib采用WXAgg為后臺，這樣才能將繪圖控件嵌入以wx為后臺界面庫的traitsUI窗口中 matplotlib.use("WXAgg") from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas from matplotlib.backends.backend_wx import NavigationToolbar2Wx from enthought.traits.ui.wx.editor import Editor from enthought.traits.ui.basic_editor_factory import BasicEditorFactory class _MPLFigureEditor(Editor): """ 相當于wx后臺界面庫中的編輯器，它負責創建真正的控件 """ scrollable = True def init(self, parent): self.control = self._create_canvas(parent) self.set_tooltip() print dir(self.item) def update_editor(self): pass def _create_canvas(self, parent): """ 創建一個Panel, 布局采用垂直排列的BoxSizer, panel中中添加 FigureCanvas, NavigationToolbar2Wx, StaticText三個控件 FigureCanvas的鼠標移動事件調用mousemoved函數，在StaticText 顯示鼠標所在的數據坐標 """ panel = wx.Panel(parent, -1, style=wx.CLIP_CHILDREN) def mousemoved(event): panel.info.SetLabel("%s, %s" % (event.xdata, event.ydata)) panel.mousemoved = mousemoved sizer = wx.BoxSizer(wx.VERTICAL) panel.SetSizer(sizer) mpl_control = FigureCanvas(panel, -1, self.value) mpl_control.mpl_connect("motion_notify_event", mousemoved) toolbar = NavigationToolbar2Wx(mpl_control) sizer.Add(mpl_control, 1, wx.LEFT | wx.TOP | wx.GROW) sizer.Add(toolbar, 0, wx.EXPAND|wx.RIGHT) panel.info = wx.StaticText(parent, -1) sizer.Add(panel.info) self.value.canvas.SetMinSize((10,10)) return panel class MPLFigureEditor(BasicEditorFactory): """ 相當于traits.ui中的EditorFactory，它返回真正創建控件的類 """ klass = _MPLFigureEditor if __name__ == "__main__": from matplotlib.figure import Figure from enthought.traits.api import HasTraits, Instance from enthought.traits.ui.api import View, Item from numpy import sin, cos, linspace, pi class Test(HasTraits): figure = Instance(Figure, ()) view = View( Item("figure", editor=MPLFigureEditor(), show_label=False), width = 400, height = 300, resizable = True) def __init__(self): super(Test, self).__init__() axes = self.figure.add_subplot(111) t = linspace(0, 2*pi, 200) axes.plot(sin(t)) Test().configure_traits() ```