[Matplotlib-users] Efficiency in connecting two subplot.

[Éric Depagne]

Le vendredi 16 février 2018, 21:41:07 SAST vincent.adrien at gmail.com a écrit :
Hi Adrien, 

Thanks for the answer, I'll have a look and will try to get things working a 
bit more efficiently.

Cheers, 
Éric.
> Hi Éric,
> 
> I am not very used to play with interactive events, but I guess some
> blitting could help you with performance:
> -
> https://stackoverflow.com/questions/29277080/efficient-matplotlib-redrawing
> -
> https://matplotlib.org/users/event_handling.html#draggable-rectangle-exercis
> e (see the extra credit example)
> 
> See the attached script that is inspired from your code and seems to
> less stress my CPU.
> 
> Hopefully this helps.
> 
> Best,
> Adrien
> 
> On 02/16/2018 01:36 AM, Éric Depagne wrote:
> > Hi all,
> > 
> > I have a gridspec plot and one of the subplot is a zoom on the part over
> > which the mouse hovers on another subplot.
> > 
> > It works, but I think the way I implemented it is not very efficient,
> > since each time I use it, I see one CPU go to 100%.
> > Here is the code that does implement the zoom. Any idea on how to make it
> > (more) efficient or changes that I should implement welcome.
> > 
> > Thanks.
> > 
> > def plot(self):
> >          gs = gridspec.GridSpec(6, 2)
> >          ax1 = plt.subplot(gs[1:, 0])
> >          plt1 = ax1.imshow(self.data, vmin=self.dataminzs,
> >          vmax=self.datamaxzs)
> >          ax1.set_label('AX1')
> >          self.ax2 = plt.subplot(gs[0:3, 1])
> >          zoomeddata = self.data[np.int(self.data.shape[0]/
> > 
> > 2)-50:np.int(self.data.shape[0]/2)+50, np.int(self.data.shape[1]/
> > 2)-50:np.int(self.data.shape[1]/2)+50]
> > 
> >          self.plt2 = self.ax2.imshow(zoomeddata, vmin=self.dataminzs,
> > 
> > vmax=self.datamaxzs)
> > 
> >          ax1.figure.canvas.mpl_connect('motion_notify_event',
> >          self._on_move)
> >      
> >      def _on_move(self, event):
> >          zoom1 = 100
> >          
> >          if event.inaxes:
> >              ax = event.inaxes  # the axes instance
> >              
> >              if 'AX1' in ax.get_label():
> >                  # Mouse is in subplot 1.
> >                  xinf2 = np.int(event.xdata - zoom1)
> >                  xsup2 = np.int(event.xdata + zoom1)
> >                  yinf2 = np.int(event.ydata - zoom1)
> >                  ysup2 = np.int(event.ydata + zoom1)
> >                  ax2data = self.data[yinf2:ysup2, xinf2:xsup2]
> >                  self.plt2.set_data(ax2data)
> >                  self.ax2.figure.canvas.draw()


-- 
Un clavier azerty en vaut deux
----------------------------------------------------------
Éric Depagne