This looks correct. I went and look at the animation examples and they do
something similar.
Thx
---------- Forwarded message ----------
From: Stephen George <steve_...@optusnet.com.au>
Date: Tue, Feb 23, 2010 at 6:28 PM
Subject: Re: [Matplotlib-users] hoe to update a plot
To: Matplotlib Users <matplotlib-users@lists.sourceforge.net>
C M wrote:
> On Tue, Feb 23, 2010 at 7:00 PM, Mathew Yeates <mat.yea...@gmail.com>
wrote:
>
>> Hi
>> I am using gtk and displaying a plot in a FigureCanvas. In response to an
>> event, I want to update the plot with new data.
>>
>> e.g.
>> self.fig = Figure(figsize=(5,5), dpi=100)
>> self.ax = fig.add_subplot(111)
>> ax.plot(data[0,0:,0],
>>
>>
>>
>> canvas = FigureCanvas(fig)
>> canvas.set_size_request(500,500)
>>
>> def on_some_signal(self,widget):
>> ?????
>>
>
>
I also may be wrong.
I thought ax.plot(..) would redraw everything (ticks, labels, etc) to
do with the plot.
I've been using set_data as I thought it was meant to be quicker.
self.cline[0].set_data(rX, myabs) # I have to make sure
I use correct line
:: ::
self.canvas.draw()
To just change the data associated with a specific line on plot.
I stored the lines on my graph in a list called cline, I captured the
line at time of creating of the plot
r = self.axis.plot( rX, myabs ,self.linestyle, color='b')
self.cline.append( r[0] )
- Steve
------------------------------------------------------------------------------
Download Intel® Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
On Tue, Feb 23, 2010 at 6:28 PM, Stephen George
<steve_...@optusnet.com.au>wrote:
> C M wrote:
> > On Tue, Feb 23, 2010 at 7:00 PM, Mathew Yeates <mat.yea...@gmail.com>
> wrote:
> >
> >> Hi
> >> I am using gtk and displaying a plot in a FigureCanvas. In response to
> an
> >> event, I want to update the plot with new data.
> >>
> >> e.g.
> >> self.fig = Figure(figsize=(5,5), dpi=100)
> >> self.ax = fig.add_subplot(111)
> >> ax.plot(data[0,0:,0],
> >>
> >>
> >>
> >> canvas = FigureCanvas(fig)
> >> canvas.set_size_request(500,500)
> >>
> >> def on_some_signal(self,widget):
> >> ?????
> >>
> >>
> I also may be wrong.
>
> I thought ax.plot(..) would redraw everything (ticks, labels, etc) to
> do with the plot.
>
> I've been using set_data as I thought it was meant to be quicker.
> self.cline[0].set_data(rX, myabs) # I have to make sure
> I use correct line
> :: ::
> self.canvas.draw()
>
> To just change the data associated with a specific line on plot.
>
> I stored the lines on my graph in a list called cline, I captured the
> line at time of creating of the plot
> r = self.axis.plot( rX, myabs ,self.linestyle, color='b')
> self.cline.append( r[0] )
>
>
> - Steve
>
>
>
>
>
> ------------------------------------------------------------------------------
> Download Intel® Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
> http://p.sf.net/sfu/intel-sw-dev
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
------------------------------------------------------------------------------
Download Intel® Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
