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将 Matplotlib 嵌入 wx #4#
如何在具有自定义工具栏的 wx 应用程序中使用 wxagg 的示例。
import wx
import numpy as np
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wxagg import \
NavigationToolbar2WxAgg as NavigationToolbar
from matplotlib.figure import Figure
class MyNavigationToolbar(NavigationToolbar):
"""Extend the default wx toolbar with your own event handlers."""
def __init__(self, canvas):
super().__init__(canvas)
# We use a stock wx bitmap, but you could also use your own image file.
bmp = wx.ArtProvider.GetBitmap(wx.ART_CROSS_MARK, wx.ART_TOOLBAR)
tool = self.AddTool(wx.ID_ANY, 'Click me', bmp,
'Activate custom control')
self.Bind(wx.EVT_TOOL, self._on_custom, id=tool.GetId())
def _on_custom(self, event):
# add some text to the Axes in a random location in axes coords with a
# random color
ax = self.canvas.figure.axes[0]
x, y = np.random.rand(2) # generate a random location
rgb = np.random.rand(3) # generate a random color
ax.text(x, y, 'You clicked me', transform=ax.transAxes, color=rgb)
self.canvas.draw()
event.Skip()
class CanvasFrame(wx.Frame):
def __init__(self):
super().__init__(None, -1, 'CanvasFrame', size=(550, 350))
self.figure = Figure(figsize=(5, 4), dpi=100)
self.axes = self.figure.add_subplot()
t = np.arange(0.0, 3.0, 0.01)
s = np.sin(2 * np.pi * t)
self.axes.plot(t, s)
self.canvas = FigureCanvas(self, -1, self.figure)
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer.Add(self.canvas, 1, wx.TOP | wx.LEFT | wx.EXPAND)
self.toolbar = MyNavigationToolbar(self.canvas)
self.toolbar.Realize()
# By adding toolbar in sizer, we are able to put it at the bottom
# of the frame - so appearance is closer to GTK version.
self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
# update the axes menu on the toolbar
self.toolbar.update()
self.SetSizer(self.sizer)
self.Fit()
class App(wx.App):
def OnInit(self):
"""Create the main window and insert the custom frame."""
frame = CanvasFrame()
frame.Show(True)
return True
if __name__ == "__main__":
app = App()
app.MainLoop()