I looked into this issue a little bit and found that the FigureCanvas must be set on the Figure before the 3D axes is instantiated. A simple re-ordering of the lines in the code below makes mouse rotation work again.
# ... self.figure = Figure() self.canvas = FigureCanvas(self, -1, self.figure) #You must set up the canvas before creating the 3D axes self.axes = Axes3D(self.figure) # ... Perhaps this should be documented somehow? Or maybe a new mplot3d example code should be added. Or maybe Axes3D.mouse_init() should warn the user if self.figure.canvas is None. -Ben -----Original Message----- From: Ben Axelrod [mailto:baxel...@coroware.com] Sent: Monday, February 01, 2010 3:56 PM To: matplotlib-users@lists.sourceforge.net Subject: [Matplotlib-users] Axes3D rotation not working when embedded in backend I would like to use Axes3D embedded in Wx. This works, but there is no mouse rotation. Clicking and dragging the mouse on the plot does not rotate the 3D axes like it does in the "scatter3d_demo.py". I tried: WX, WXAgg, and TkAgg with similar results. Can this be fixed soon, or can someone point me to where I can try to fix it? I tested with the latest SVN tree on Linux and Windows. Thanks, -Ben Below is some sample code adapted from "embedding_in_wx2.py", but with an Axes3D instead of the regular plot: #!/usr/bin/env python # adapted from example code "embedding_in_wx2.py" # Used to guarantee to use at least Wx2.8 import wxversion wxversion.ensureMinimal('2.8') import numpy as np import matplotlib # uncomment the following to use wx rather than wxagg #matplotlib.use('WX') #from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas # comment out the following to use wx rather than wxagg matplotlib.use('WXAgg') from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas from matplotlib.backends.backend_wx import NavigationToolbar2Wx from matplotlib.figure import Figure from mpl_toolkits.mplot3d import Axes3D import wx class CanvasFrame(wx.Frame): def __init__(self): wx.Frame.__init__(self,None,-1, 'CanvasFrame',size=(550,350)) self.SetBackgroundColour(wx.NamedColor("WHITE")) self.figure = Figure() self.axes = Axes3D(self.figure) xs = np.random.rand(100) ys = np.random.rand(100) zs = np.random.rand(100) self.axes.scatter(xs, ys, zs) self.canvas = FigureCanvas(self, -1, self.figure) self.sizer = wx.BoxSizer(wx.VERTICAL) self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW) self.SetSizer(self.sizer) self.Fit() self.add_toolbar() # comment this out for no toolbar def add_toolbar(self): self.toolbar = NavigationToolbar2Wx(self.canvas) self.toolbar.Realize() if wx.Platform == '__WXMAC__': # Mac platform (OSX 10.3, MacPython) does not seem to cope with # having a toolbar in a sizer. This work-around gets the buttons # back, but at the expense of having the toolbar at the top self.SetToolBar(self.toolbar) else: # On Windows platform, default window size is incorrect, so set # toolbar width to figure width. tw, th = self.toolbar.GetSizeTuple() fw, fh = self.canvas.GetSizeTuple() # By adding toolbar in sizer, we are able to put it at the bottom # of the frame - so appearance is closer to GTK version. # As noted above, doesn't work for Mac. self.toolbar.SetSize(wx.Size(fw, th)) self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND) # update the axes menu on the toolbar self.toolbar.update() def OnPaint(self, event): self.canvas.draw() class App(wx.App): def OnInit(self): 'Create the main window and insert the custom frame' frame = CanvasFrame() frame.Show(True) return True app = App(0) app.MainLoop() #end code ------------------------------------------------------------------------------ The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
