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我正在尝试将 MatPlotLib 与 WXPython 一起使用。我从http://www.cs.colorado.edu/~kena/classes/5448/s11/presentations/pearse.pdf找到了一个很好的例子， 因为它展示了如何使用 2 个面板，并且很好地解释了如何嵌入 matplotlib。但我认为它缺少某些部分，因为图形没有被初始化。我该如何解决？

import wx
import numpy
import matplotlib
from matplotlib.figure import Figure
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas

class TestFrame(wx.Frame):
    def __init__(self,parent,title):
        wx.Frame.__init__(self,parent,title=title,size=(500,500))
        self.sp = wx.SplitterWindow(self)
        self.p1 = wx.Panel(self.sp, style=wx.SUNKEN_BORDER)
        self.p2 = wx.Panel(self.sp, style=wx.SUNKEN_BORDER)
        self.sp.SplitVertically(self.p1,self.p2,100)
        self.statusbar = self.CreateStatusBar()
        self.statusbar.SetStatusText('Oi')

class p1(wx.Panel):
    def __init__(self, parent):
        wx.Panel.__init__(self, parent,-1,size=(50,50))

        self.figure = matplotlib.figure.Figure()
        self.axes = self.figure.add_subplot(111)
        t = numpy.arange(0.0,10,1.0)
        s = [0,1,0,1,0,2,1,2,1,0]
        self.y_max = 1.0
        self.axes,plot(t,s)
        self.canvas = FigureCanvas(self,-1,self.figure)

app = wx.App(redirect=False)
frame = TestFrame(None, 'Hello World!')
frame.Show()
app.MainLoop()

谢谢。

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1 回答 1

2

你用它上课p1，matplot但你没有在TestFrame.

我更改了一些名称以使其更清晰

import wx
import numpy 
import matplotlib

from matplotlib.figure import Figure
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas

class TestFrame(wx.Frame):
    def __init__(self,parent,title):
        wx.Frame.__init__(self,parent,title=title,size=(500,500))
        self.sp = wx.SplitterWindow(self)
        self.p1 = wx.Panel(self.sp, style=wx.SUNKEN_BORDER)
        self.p2 = MatplotPanel(self.sp)
        self.sp.SplitVertically(self.p1,self.p2,100)
        self.statusbar = self.CreateStatusBar()
        self.statusbar.SetStatusText('Oi')

class MatplotPanel(wx.Panel):
    def __init__(self, parent):
        wx.Panel.__init__(self, parent,-1,size=(50,50))

        self.figure = Figure()
        self.axes = self.figure.add_subplot(111)
        t = numpy.arange(0.0,10,1.0)
        s = [0,1,0,1,0,2,1,2,1,0]
        self.y_max = 1.0
        self.axes.plot(t,s)
        self.canvas = FigureCanvas(self,-1,self.figure)

app = wx.App(redirect=False)
frame = TestFrame(None, 'Hello World!')
frame.Show()
app.MainLoop()

另请参阅（例如）我对如何结合 wxPython、matplotlib 和 Pyopengl的回答

编辑：

MatplotPanel和NavigationToolbar改变wx.Button情节。

编辑：2022.01.03

正如@Samuel 在评论中所说：更新的matplotlib需求NavigationToolbar2WxAgg而不是NavigationToolbar2Wx. 另见matplotlib文档：嵌入 wx #2

# older matplotlib
#from matplotlib.backends.backend_wxagg import NavigationToolbar2Wx as NavigationToolbar

# newer matplotlib 
from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg as NavigationToolbar

class MatplotPanel(wx.Panel):
    
    def __init__(self, parent):     
        wx.Panel.__init__(self, parent,-1,size=(50,50))

        self.sizer = wx.BoxSizer(wx.VERTICAL)
        self.SetSizer(self.sizer)
        
        self.figure = Figure()
        self.axes = self.figure.add_subplot(111)
        self.canvas = FigureCanvas(self, -1, self.figure)
        self.toolbar = NavigationToolbar(self.canvas)

        self.button = wx.Button(self, -1, "Change plot")
        self.button.Bind(wx.EVT_BUTTON, self.changePlot)
        
        self.sizer.Add(self.toolbar, 0, wx.EXPAND)
        self.sizer.Add(self.button, 0, wx.EXPAND)
        self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
        
        self.drawSin()
        self.current_draw = 'sin'
        
#       self.drawLines()

    def changePlot(self, event):
        
        if self.current_draw == 'sin' :
            self.drawLines()
            self.current_draw = 'lines'
        else: 
            self.drawSin()
            self.current_draw = 'sin'
            
        self.Layout()
        
    def drawLines(self):
    
        x = numpy.arange(0.0,10,1.0)
        y = [0,1,0,1,0,2,1,2,1,0]
        
        self.axes.clear()
        self.axes.plot(x, y)

    def drawSin(self):
    
        x = numpy.arange(0.0,10,0.1)
        y = numpy.sin(x)
        
        self.axes.clear()
        self.axes.plot(x, y)
于 2013-11-11T03:18:36.937 回答