plot debugging problem

[Matteo Landi]

Well, I cannot tell you how to do that in a precise way, but googling
a bit I found this (expecially the second example):

http://eli.thegreenplace.net/2008/08/01/matplotlib-with-wxpython-guis/

Take a look also at the Matplotlib cookbook:

http://www.scipy.org/Cookbook/Matplotlib

ps. when you answer back, remember to include the list, or the flow will be cut!

On Tue, May 11, 2010 at 7:49 PM, Sandy Sandy <cde3 at live.com> wrote:
> great!!!
> how to do it?
>
> this way it is not working:
>
> from pylab import plot,show,close
> x = range(10)
> plot(x)
> from threading import Timer
> t = Timer(0, show)
> t.start()
>
> y = [2, 8, 3, 9, 4]
> plot(y)
> close()
>
> Best Regards
> Sandy
>
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>> From: landimatte at gmail.com
>> Date: Tue, 11 May 2010 19:46:27 +0200
>> Subject: Re: plot debugging problem
>> To: cde3 at live.com
>> CC: python-list at python.org
>>
>> I imagine you have to create a separate thread for it. Just thoughts.
>>
>> On Tue, May 11, 2010 at 6:08 PM, Sandy Sandy <cde3 at live.com> wrote:
>> > Hi friends
>> > pls help with debugging problem
>> > the mutter is:
>> > during debugging the  debug processes stacks when fig is created
>> > for example, in code
>> >
>> > import random
>> >
>> > import matplotlib.pyplot as plt
>> > from pylab import *
>> >
>> >
>> > x= 23;
>> > y = 111111;
>> > print(23456)
>> > plt.plot(range(10))
>> >
>> > plot([1,2,3])
>> > show()
>> >
>> > print(11111111)
>> >
>> > a=888
>> >
>> > it is impossible after show() to continue debug
>> > as stated in
>> > Beginning Python Visualization - Crafting Visual Transformation Scripts
>> > (2009)
>> > page  187
>> >
>> > Note If you’re not using matplotlib interactively in Python, be sure
>> > to call the function show() after all
>> > graphs have been generated, as it enters a user interface main loop
>> > that will stop execution of the rest of
>> > your code. The reason behind this behavior is that matplotlib is
>> > designed to be embedded in a GUI as well.
>> > In Windows, if you’re working from interactive Python, you need only
>> > issue show() once; close the figures
>> > (or figures) to return to the shell. Subsequent plots will be drawn
>> > automatically without issuing show(), and
>> > you’ll be able to plot graphs interactively.
>> >
>> > Best Regards
>> > Sandy
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>> > --
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>> >
>> >
>>
>>
>>
>> --
>> Matteo Landi
>> http://www.matteolandi.net/
>
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-- 
Matteo Landi
http://www.matteolandi.net/