matplotlib-users

[Matplotlib-users] MultiCursor messes with xlim and ylim autoscaling

[Michael K. <kau...@or...>]

Hi Gurus:

I'm having a serious problem with MultiCursor and autoscaling...

If I do the code below with both MultiCursor instantiations commented 
out, then all plots are xscaled to [50,55] and yscaled to each plot's 
appropriate ylimits.

If I uncomment the top MultiCursor instantiation, then both the xlimits 
and ylimits are screwed up: xlim=[0,60] and ylim is all over the place, 
certainly not autoscaled tight.

If I uncomment the bottom MultiCursor instantiation, then the xlimit 
appears to be scaled correctly, [50,55], but two of the four plots 
(lower left and upper right) are not autoscaled in y.

How to I instantiate MultiCursor to get the normal and expected 
autoscaling behavior?

Not that it should matter, but I'm using here Tk and Python3 with MPL 
1.5dev1 (91ca2a3724ae91d28d97)

Thanks for any help,

M

=============

from matplotlib import pyplot as pl
from matplotlib.widgets import MultiCursor
from matplotlib import gridspec
import numpy as np

if __name__ == "__main__":

   fig = pl.gcf()
   gs = gridspec.GridSpec(2,2)

   ax = None
   for g in gs:
     ax = pl.subplot(g, sharex=ax)

   #multi = MultiCursor(fig.canvas, tuple(fig.axes),
   #                    useblit=True, horizOn=True, color='k', lw=1)

   x = np.arange(50,55,0.01)
   y1 = np.sin(x)
   y2 = np.cos(x) + 4
   y3 = 0.2*np.cos(x) - 4
   y4 = np.cos(2*x) - 1

   for ax,y in zip(fig.axes, [y1,y2,y3,y4]):
     ax.plot(x,y)

   for ax in fig.axes:
     ax.grid()

   #multi = MultiCursor(fig.canvas, tuple(fig.axes),
   #                    useblit=True, horizOn=True, color='k', lw=1)

   pl.draw()
   pl.show()

Re: [Matplotlib-users] MultiCursor messes with xlim and ylim autoscaling

[Bilheux, Jean-C. <bil...@or...>]

HI all,

I wanted to help (for a change) but running the script on mac (with the multi cursor code commented out), I got the following error. If anyone can figure out why !

File "/Users/j35/anaconda/lib/python3.4/site-packages/matplotlib/widgets.py", line 1046, in clear
    self.canvas.copy_from_bbox(self.canvas.figure.bbox))
AttributeError: 'FigureCanvasMac' object has no attribute ‘copy_from_bbox'

I’m using python 3.4 and matplotlib 1.4.3

Thanks

Jean



> On Jan 20, 2016, at 1:26 PM, Michael Kaufman <kau...@or...> wrote:
> 
> Hi Gurus:
> 
> I'm having a serious problem with MultiCursor and autoscaling...
> 
> If I do the code below with both MultiCursor instantiations commented out, then all plots are xscaled to [50,55] and yscaled to each plot's appropriate ylimits.
> 
> If I uncomment the top MultiCursor instantiation, then both the xlimits and ylimits are screwed up: xlim=[0,60] and ylim is all over the place, certainly not autoscaled tight.
> 
> If I uncomment the bottom MultiCursor instantiation, then the xlimit appears to be scaled correctly, [50,55], but two of the four plots (lower left and upper right) are not autoscaled in y.
> 
> How to I instantiate MultiCursor to get the normal and expected autoscaling behavior?
> 
> Not that it should matter, but I'm using here Tk and Python3 with MPL 1.5dev1 (91ca2a3724ae91d28d97)
> 
> Thanks for any help,
> 
> M
> 
> =============
> 
> from matplotlib import pyplot as pl
> from matplotlib.widgets import MultiCursor
> from matplotlib import gridspec
> import numpy as np
> 
> if __name__ == "__main__":
> 
>  fig = pl.gcf()
>  gs = gridspec.GridSpec(2,2)
> 
>  ax = None
>  for g in gs:
>    ax = pl.subplot(g, sharex=ax)
> 
>  #multi = MultiCursor(fig.canvas, tuple(fig.axes),
>  #                    useblit=True, horizOn=True, color='k', lw=1)
> 
>  x = np.arange(50,55,0.01)
>  y1 = np.sin(x)
>  y2 = np.cos(x) + 4
>  y3 = 0.2*np.cos(x) - 4
>  y4 = np.cos(2*x) - 1
> 
>  for ax,y in zip(fig.axes, [y1,y2,y3,y4]):
>    ax.plot(x,y)
> 
>  for ax in fig.axes:
>    ax.grid()
> 
>  #multi = MultiCursor(fig.canvas, tuple(fig.axes),
>  #                    useblit=True, horizOn=True, color='k', lw=1)
> 
>  pl.draw()
>  pl.show()
> <multicursor_limtest.py>------------------------------------------------------------------------------
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Re: [Matplotlib-users] MultiCursor messes with xlim and ylim autoscaling

[Benjamin R. <ben...@gm...>]

Add "blit=False" in the instantiation for multicursor to get around the
copy_from_bbox issue.

I wonder if the use of fig.axes might be a problem?
On Jan 20, 2016 2:27 PM, "Bilheux, Jean-Christophe" <bil...@or...>
wrote:

> HI all,
>
> I wanted to help (for a change) but running the script on mac (with the
> multi cursor code commented out), I got the following error. If anyone can
> figure out why !
>
> File
> "/Users/j35/anaconda/lib/python3.4/site-packages/matplotlib/widgets.py",
> line 1046, in clear
>     self.canvas.copy_from_bbox(self.canvas.figure.bbox))
> AttributeError: 'FigureCanvasMac' object has no attribute ‘copy_from_bbox'
>
> I’m using python 3.4 and matplotlib 1.4.3
>
> Thanks
>
> Jean
>
>
>
> > On Jan 20, 2016, at 1:26 PM, Michael Kaufman <kau...@or...> wrote:
> >
> > Hi Gurus:
> >
> > I'm having a serious problem with MultiCursor and autoscaling...
> >
> > If I do the code below with both MultiCursor instantiations commented
> out, then all plots are xscaled to [50,55] and yscaled to each plot's
> appropriate ylimits.
> >
> > If I uncomment the top MultiCursor instantiation, then both the xlimits
> and ylimits are screwed up: xlim=[0,60] and ylim is all over the place,
> certainly not autoscaled tight.
> >
> > If I uncomment the bottom MultiCursor instantiation, then the xlimit
> appears to be scaled correctly, [50,55], but two of the four plots (lower
> left and upper right) are not autoscaled in y.
> >
> > How to I instantiate MultiCursor to get the normal and expected
> autoscaling behavior?
> >
> > Not that it should matter, but I'm using here Tk and Python3 with MPL
> 1.5dev1 (91ca2a3724ae91d28d97)
> >
> > Thanks for any help,
> >
> > M
> >
> > =============
> >
> > from matplotlib import pyplot as pl
> > from matplotlib.widgets import MultiCursor
> > from matplotlib import gridspec
> > import numpy as np
> >
> > if __name__ == "__main__":
> >
> >  fig = pl.gcf()
> >  gs = gridspec.GridSpec(2,2)
> >
> >  ax = None
> >  for g in gs:
> >    ax = pl.subplot(g, sharex=ax)
> >
> >  #multi = MultiCursor(fig.canvas, tuple(fig.axes),
> >  #                    useblit=True, horizOn=True, color='k', lw=1)
> >
> >  x = np.arange(50,55,0.01)
> >  y1 = np.sin(x)
> >  y2 = np.cos(x) + 4
> >  y3 = 0.2*np.cos(x) - 4
> >  y4 = np.cos(2*x) - 1
> >
> >  for ax,y in zip(fig.axes, [y1,y2,y3,y4]):
> >    ax.plot(x,y)
> >
> >  for ax in fig.axes:
> >    ax.grid()
> >
> >  #multi = MultiCursor(fig.canvas, tuple(fig.axes),
> >  #                    useblit=True, horizOn=True, color='k', lw=1)
> >
> >  pl.draw()
> >  pl.show()
> >
> <multicursor_limtest.py>------------------------------------------------------------------------------
> > Site24x7 APM Insight: Get Deep Visibility into Application Performance
> > APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month
> > Monitor end-to-end web transactions and take corrective actions now
> > Troubleshoot faster and improve end-user experience. Signup Now!
> >
> http://pubads.g.doubleclick.net/gampad/clk?id=267308311&iu=/4140_______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
> ------------------------------------------------------------------------------
> Site24x7 APM Insight: Get Deep Visibility into Application Performance
> APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month
> Monitor end-to-end web transactions and take corrective actions now
> Troubleshoot faster and improve end-user experience. Signup Now!
> http://pubads.g.doubleclick.net/gampad/clk?id=267308311&iu=/4140
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>