嵌入 wx #3

版权所有 (C) 2003-2004 Andrew Straw、Jeremy O'Donoghue 等

许可：本作品在 PSF 下获得许可。此源代码中应包含一份副本，也可在 https://docs.python.org/3/license.html获得

这是将 matplotlib 与 wx 结合使用的又一个示例。希望这是功能齐全的：

• matplotlib 工具栏和 WX 按钮都可以操作绘图

• 完整的 wxApp 框架，包括小部件交互

• XRC（XML wxWidgets 资源）文件来创建 GUI（使用 XRCed 制作）

这源自embedding_in_wx 和dynamic_image_wxagg。

感谢 matplotlib 和 wx 团队创造了如此出色的软件！

import matplotlib.cm as cm
import matplotlib.cbook as cbook
from matplotlib.backends.backend_wxagg import (
    FigureCanvasWxAgg as FigureCanvas,
    NavigationToolbar2WxAgg as NavigationToolbar)
from matplotlib.figure import Figure
import numpy as np

import wx
import wx.xrc as xrc

ERR_TOL = 1e-5  # floating point slop for peak-detection


class PlotPanel(wx.Panel):
    def __init__(self, parent):
        super().__init__(parent, -1)

        self.fig = Figure((5, 4), 75)
        self.canvas = FigureCanvas(self, -1, self.fig)
        self.toolbar = NavigationToolbar(self.canvas)  # matplotlib toolbar
        self.toolbar.Realize()

        # Now put all into a sizer
        sizer = wx.BoxSizer(wx.VERTICAL)
        # This way of adding to sizer allows resizing
        sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
        # Best to allow the toolbar to resize!
        sizer.Add(self.toolbar, 0, wx.GROW)
        self.SetSizer(sizer)
        self.Fit()

    def init_plot_data(self):
        ax = self.fig.add_subplot()

        x = np.arange(120.0) * 2 * np.pi / 60.0
        y = np.arange(100.0) * 2 * np.pi / 50.0
        self.x, self.y = np.meshgrid(x, y)
        z = np.sin(self.x) + np.cos(self.y)
        self.im = ax.imshow(z, cmap=cm.RdBu, origin='lower')

        zmax = np.max(z) - ERR_TOL
        ymax_i, xmax_i = np.nonzero(z >= zmax)
        if self.im.origin == 'upper':
            ymax_i = z.shape[0] - ymax_i
        self.lines = ax.plot(xmax_i, ymax_i, 'ko')

        self.toolbar.update()  # Not sure why this is needed - ADS

    def GetToolBar(self):
        # You will need to override GetToolBar if you are using an
        # unmanaged toolbar in your frame
        return self.toolbar

    def OnWhiz(self, event):
        self.x += np.pi / 15
        self.y += np.pi / 20
        z = np.sin(self.x) + np.cos(self.y)
        self.im.set_array(z)

        zmax = np.max(z) - ERR_TOL
        ymax_i, xmax_i = np.nonzero(z >= zmax)
        if self.im.origin == 'upper':
            ymax_i = z.shape[0] - ymax_i
        self.lines[0].set_data(xmax_i, ymax_i)

        self.canvas.draw()


class MyApp(wx.App):
    def OnInit(self):
        xrcfile = cbook.get_sample_data('embedding_in_wx3.xrc',
                                        asfileobj=False)
        print('loading', xrcfile)

        self.res = xrc.XmlResource(xrcfile)

        # main frame and panel ---------

        self.frame = self.res.LoadFrame(None, "MainFrame")
        self.panel = xrc.XRCCTRL(self.frame, "MainPanel")

        # matplotlib panel -------------

        # container for matplotlib panel (I like to make a container
        # panel for our panel so I know where it'll go when in XRCed.)
        plot_container = xrc.XRCCTRL(self.frame, "plot_container_panel")
        sizer = wx.BoxSizer(wx.VERTICAL)

        # matplotlib panel itself
        self.plotpanel = PlotPanel(plot_container)
        self.plotpanel.init_plot_data()

        # wx boilerplate
        sizer.Add(self.plotpanel, 1, wx.EXPAND)
        plot_container.SetSizer(sizer)

        # whiz button ------------------
        whiz_button = xrc.XRCCTRL(self.frame, "whiz_button")
        whiz_button.Bind(wx.EVT_BUTTON, self.plotpanel.OnWhiz)

        # bang button ------------------
        bang_button = xrc.XRCCTRL(self.frame, "bang_button")
        bang_button.Bind(wx.EVT_BUTTON, self.OnBang)

        # final setup ------------------
        self.frame.Show()

        self.SetTopWindow(self.frame)

        return True

    def OnBang(self, event):
        bang_count = xrc.XRCCTRL(self.frame, "bang_count")
        bangs = bang_count.GetValue()
        bangs = int(bangs) + 1
        bang_count.SetValue(str(bangs))


if __name__ == '__main__':
    app = MyApp()
    app.MainLoop()