带有MatPlotLib的WXPython [英] WXPython with MatPlotLib

问题描述

我正在尝试将MatPlotLib与WXPython一起使用.我从 http://www找到了一个很好的例子. cs.colorado.edu/~kena/classes/5448/s11/presentations/pearse.pdf 因为它显示了如何使用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，因为图形尚未初始化. 我该如何解决?

I am trying to use MatPlotLib with WXPython. I find a nice example from http://www.cs.colorado.edu/~kena/classes/5448/s11/presentations/pearse.pdf because it show how to use 2 panels and it is well explained how to embed matplotlib. But I think it is missing some part, because the graphic isn't being initialized. How can I fix that?

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.

推荐答案

您使用matplot创建了类p1，但没有在TestFrame中使用它.

You made class p1 with matplot but you didn't use it in TestFrame.

我更改了一些名称以使其更清晰

I changed some names to make it more clear

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

see also (as example) my answer to how to combine wxPython, matplotlib and Pyopengl

MatplotPanel和NavigationToolbar和wx.Button来更改绘图.

from matplotlib.backends.backend_wxagg import NavigationToolbar2Wx 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)

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