matplotlib-users Mailing List for matplotlib

John I foud it with the "print trick" thank you!!!
the main proble was the self.fig which I replaced with the self.canvas
and it is now working,
Thanks again
On Thu, 2004年03月11日 at 13:49, Flavio Codeco Coelho wrote:
> -----Forwarded Message-----
> From: Flavio Codeco Coelho <fcc...@fi...>
> To: mat...@li...
> <mat...@li...>
> Subject: [Matplotlib-users] embedding in wx segfault
> Date: 2004年3月11日 12:53:40 -0300
> 
> 
> 
> Hi I have a variant of the embedding_in_wx script that worked fine on
> my previous version of matplotlib. Now, with version 0.51 it's seg
> faulting. I updated the script to reflect the changes in the library
> but still... Can anyone see what may be going wrong?
> 
> thanks
> 
> the script is attached

-----Forwarded Message-----
From: Flavio Codeco Coelho <fcc...@fi...>
To: mat...@li...
<mat...@li...>
Subject: [Matplotlib-users] embedding in wx segfault
Date: 2004年3月11日 12:53:40 -0300
Hi I have a variant of the embedding_in_wx script that worked fine on my
previous version of matplotlib. Now, with version 0.51 it's seg
faulting. I updated the script to reflect the changes in the library but
still... Can anyone see what may be going wrong?
thanks
the script is attached

>>>>> "Flavio" == Flavio Codeco Coelho <fcc...@fi...> writes:
 Flavio> Hi I have a variant of the embedding_in_wx script that
 Flavio> worked fine on my previous version of matplotlib. Now,
 Flavio> with version 0.51 it's seg faulting. I updated the script
 Flavio> to reflect the changes in the library but still... Can
 Flavio> anyone see what may be going wrong?
Please resend as an attachment - your lines are wrapped and hence the
code is doubly difficult to debug.
A couple of suggestions: wx swallows exceptions. This makes it
virtually impossible to debug scripts using wx since you cannot read
the stack trace. The problem may be a simple syntax error in your
script having nothing to do with matplotlib or the wx backend per se,
and you wouldn't see it because of the exception swallowing problem.
Workarounds: 
 1) insert some print statements at the top of each function so you
 can see when the failure occurs. This is essentially what Jeremy
 does in backend_wx. Change the _DEBUG level to a low number in
 backend_wx to get more debugging information. 
 2) try running pychecker on your script.
A lifetime supply of free bugfixes to any wx guru who knows how to fix
this problem - Jeremy and I have certainly suffered with it long enough.
JDH

Hi I have a variant of the embedding_in_wx script that worked fine on my
previous version of matplotlib. Now, with version 0.51 it's seg
faulting. I updated the script to reflect the changes in the library but
still... Can anyone see what may be going wrong?
thanks
here is my script:
-----------------------------------------------------------------------------
# Name: PlotFigure.py
# Purpose: Plotting frame that contains the plots generated by Model
Buider
#
# Author: Flavio C. Coelho
#
# Created: 2004年09月01日
# RCS-ID: $Id: PlotFigure.py,v 1.1 2004年01月13日 10:51:43 fccoelho Exp
$
# Copyright: (c) 2003
# Licence: GPL
# Obs: This code was based on Jeremy Donoghue's embedding_in_wx.py
included with 
# matplotlib.
#-----------------------------------------------------------------------------
#Boa:Frame:PlotFigure
import matplotlib
matplotlib.use('WX')
from matplotlib.backends.backend_wx import Toolbar, FigureCanvasWx,
FigureManager
from matplotlib.figure import Figure
from matplotlib.axes import Subplot
import matplotlib.numerix as numpy
from RandomArray import *
from wxPython.wx import *
def create(parent):
 return PlotFigure(parent)
[wxID_PLOTFIGURE] = map(lambda _init_ctrls: wxNewId(), range(1))
class PlotFigure(wxFrame):
 def _init_ctrls(self, prnt):
 # generated method, don't edit
 wxFrame.__init__(self, id=wxID_PLOTFIGURE, name='Output',
parent=prnt,
 pos=wxPoint(480, 335), size=wxSize(640, 480),
 style=wxDEFAULT_FRAME_STYLE, title='Results')
 self.SetClientSize(wxSize(1280, 893))
 def __init__(self, parent):
 self._init_ctrls(parent)
 self.fig = Figure((10,8), 75)
 self.canvas = FigureCanvasWx(self,-1, self.fig)
 self.toolbar = Toolbar(self.canvas)
 self.toolbar.Realize()
		# On Windows, default frame size behaviour is incorrect
 # you don't need this under Linux
 tw, th = self.toolbar.GetSizeTuple()
 fw, fh = self.canvas.GetSizeTuple()
 self.toolbar.SetSize(wxSize(fw, th))
 
 # Create a figure manager to manage things
 self.figmgr = FigureManager(self.canvas, 1, self)
 
 # Now put all into a sizer
 sizer = wxBoxSizer(wxVERTICAL)
		# This way of adding to sizer prevents resizing
 #sizer.Add(self.fig, 0, wxLEFT|wxTOP)
		
		# This way of adding to sizer allows resizing
 sizer.Add(self.fig, 1, wxLEFT|wxTOP|wxGROW)
		
		# Best to allow the toolbar to resize!
 sizer.Add(self.toolbar, 0, wxGROW)
 self.SetSizer(sizer)
 self.Fit()
 
 def plot_data(self, x,y):
 """
 This function will plot the time series as output by odeint.
 """
 # Use this line if using a toolbar
 a = self.figmgr.add_subplot(111)
 
 # Or this one if there is no toolbar
 #a = Subplot(self.fig, 111)
 
 nvar = min(y[0].shape)
 
 for i in range(nvar):
 a.plot (x,y[0][:,i])
 #plot (x,timeseries[1])
 a.set_xlabel('Time')
 a.set_ylabel('Y[i]')
 a.set_title('Time series')
#---generating tuple of
legends-------------------------------------------------
 b = range(nvar)
 leg = tuple(['y['+str(i)+']' for i in b])
#-------------------------------------------------------------------------------
 a.legend(leg)
 
 self.toolbar.update()
 def plotStats(self,x, ts):
 """
 This function will plot prior an posteriors for the model
variables and parameters.
 """
 # Use this line if using a toolbar
 a = self.figmgr.add_subplot(111)
 
 # Or this one if there is no toolbar
 #a = Subplot(self.fig, 111)
 
 
 a.plot(x,ts[0], 'r-o',x,ts[1],'b-.', x,ts[2],'b-.')
 
 
 def plotDist(data,vname):
 """
 Plots histograms ofthe prior and posterior distributions of the
model components
 meldOut is the output of the Melding.SIR function:
(w,qtiltheta,qtilphi,q1est)
 """
 # Use this line if using a toolbar
 a = self.figmgr.add_subplot(111)
 
 # Or this one if there is no toolbar
 #a = Subplot(self.fig, 111)
 
 nb, bins, patches = a.hist(data, normed=1)
 a.set_title('Prior Distribution')
 a.set_xtitle(vname)
 
 nvp = len(priors) # Get number of variable + parameters in the
model)
 nlik = len (liks) # Get number of likelihood functions
 
 for i in range(nvp):
 nb, bins, patches = a.hist(priors[i], normed=1)
 if i > 0:
 a.figure(i+1)
 a.set_title('Prior Distribution')
 
 
 
 
 def GetToolBar(self):
 # You will need to override GetToolBar if you are using an 
 # unmanaged toolbar in your frame
 return self.toolbar
 
if __name__ == '__main__':
 app = wxPySimpleApp()
 frame = create(None)
 x = normal(0,1,50)
 y = normal(0,1,(5,50))
 frame.plot_data(x,y)
 frame.Show()
 app.MainLoop()