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thanks for the answer.
it's slow, but acceptable.
If it was possible to update it faster, that would have been better,
but it's ok.
I do not know if it's because of pyqt or not, but the
self.fig.canvas.draw() takes around 1s, and then, there is another
extra time before the plot actually get updated.
I mean, visually.
2010年9月8日 Philippe Crave <phi...@gm...>:
> ---------- Forwarded message ----------
> From: Eric Firing <ef...@ha...>
> Date: 2010年9月8日
> Subject: Re: [Matplotlib-users] draw after set_data
> To: mat...@li...
>
>
> On 09/07/2010 07:33 PM, Philippe Crave wrote:
>> hi,
>>
>> sorry to bring this up again.
>> style haven't found how to draw my plot faster than
>> self.fig.canvas.draw(), after a set_data()
>
> If you need to change the scale of the plot when you update the data,
> then I don't see any alternative to redoing the whole plot. If that is
> too slow, then mpl may simply be the wrong tool for the job. Parts of
> mpl have been nicely optimized for speed, but generating a large number
> of subplots is not among them. I don't expect this will change any time
> soon. The tick generation and labeling is the main time sink. If I
> generate 20 blank subplots, with default ticks and labels, each draw
> takes 420 ms on my machine. If I set all the ticks to the empty list,
> it drops to 34 ms.
>
> Eric
>
>>
>> thanks
>>
>> 2010年9月1日 Philippe Crave<phi...@gm...>:
>>> Hi,
>>>
>>> I use qt4 backend.
>>> I update some lines doing something like that:
>>>
>>>  def draw_curves(self, datas, x):
>>>    for y in datas:
>>>      self.lines[i].set_data(x, y)
>>>      min_y, max_y = self.min_max(y)
>>>      self.ax[i].axis((0, x[-1], min_y, max_y))
>>>      #self.ax[i].draw_artist(self.lines[i])
>>>      #self.fig.canvas.blit(self.ax[i].bbox)
>>>    self.fig.canvas.draw()
>>>
>>>
>>> the self.fig.canvas.draw() is very slow. (I have 20 subplot in that figure).
>>> I tried to use:
>>>      self.ax[i].draw_artist(self.lines[i])
>>>      self.fig.canvas.blit(self.ax[i].bbox)
>>> it's very fast. But it does not update the scale of the plot.
>>> and it does not remove the old datas.
>>>
>>> Can someone help me on that ?
>>> if I plot a sin(x) at first, I get it between 0 and 1. then, if I plot
>>> 2.sin(x), it does not update the zoom to 0-2
>>>
>>> thank you,
>>> Philippe
>>>
>>
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I want to use backendQtAgg inorder to imbed plot dialog into basic dialog
and by clicking the labels open plot option.
I couldn't use 'motion_notify_event' because the event only handles into
plot area not in canvas area!!!
anybody knows?
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On Sep 9, 2010, at 10:53 AM, Bernardo Rocha wrote:
> Hi everyone,
> 
> I would like to know if it is possible (I guess it is) and how can I do a plot such as the one in the attached figure?
> 
> Could someone help me with this? I know that this one was done in gnuplot, but I would like to use matplotlib.
> 
> Thanks in advance.
> Bernardo M. R.
Hi Bernardo,
I have some functions which I use to draw slope markers (attached). There are examples of how to use it in the if-main block at the bottom of the file. It should be simple enough to use and works for linear and log scales.
The functions have grown sort of organically, so they're not as polished as they could be. In particular, the handling of linear/log scales could be refactored (probably by making slope marker a subclass of Polygon). Anyway, I haven't gotten around to cleaning things up, but the functions are very usable as is.
Hope that helps,
-Tony