Suppose I have a figure canvas with 3 plots... 2 are images of the same
dimensions plotted with imshow, and the other is a scatterplot. I'd like to
be able to link the x and y axes of the imshow plots so that when I zoom in
one, the other zooms to the same coordinates, and when I pan in one, the
other pans as well.
I started hacking my way around this by subclassing NavigationToolbar2WxAgg
(shown below)... but there are several problems here.
1) This will link the axes of all plots in a canvas since all I've done is
get rid of the checks for a.in_axes()
2) This worked well for panning, but zooming caused all subplots to zoom
from the same global point, rather than from the same point in each of their
respective axes.
Can anyone suggest a workaround?
Much thanks!
-Adam
from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg as
NavigationToolbar
class MyNavToolbar(NavigationToolbar):
def __init__(self, canvas, cpfig):
NavigationToolbar.__init__(self, canvas)
# override
def press_pan(self, event):
'the press mouse button in pan/zoom mode callback'
if event.button == 1:
self._button_pressed=1
elif event.button == 3:
self._button_pressed=3
else:
self._button_pressed=None
return
x, y = event.x, event.y
# push the current view to define home if stack is empty
if self._views.empty(): self.push_current()
self._xypress=[]
for i, a in enumerate(self.canvas.figure.get_axes()):
*# only difference from overridden method is that this one
doesn't*
* # check a.in_axes(event) *
if x is not None and y is not None and a.get_navigate():
a.start_pan(x, y, event.button)
self._xypress.append((a, i))
self.canvas.mpl_disconnect(self._idDrag)
self._idDrag=self.canvas.mpl_connect('motion_notify_event',
self.drag_pan)
def press_zoom(self, event):
'the press mouse button in zoom to rect mode callback'
if event.button == 1:
self._button_pressed=1
elif event.button == 3:
self._button_pressed=3
else:
self._button_pressed=None
return
x, y = event.x, event.y
# push the current view to define home if stack is empty
if self._views.empty(): self.push_current()
self._xypress=[]
for i, a in enumerate(self.canvas.figure.get_axes()):
*# only difference from overridden method is that this one
doesn't*
* # check a.in_axes(event) *
if x is not None and y is not None and a.get_navigate() and
a.can_zoom():
self._xypress.append(( x, y, a, i, a.viewLim.frozen(),
a.transData.frozen()))
self.press(event)
Do the "sharex" and "sharey" kwargs help? http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axes http://matplotlib.sourceforge.net/examples/pylab_examples/shared_axis_demo.html -paul From: Adam Fraser [mailto:ada...@gm...] Sent: Thursday, May 27, 2010 10:44 AM To: matplotlib-users Subject: [Matplotlib-users] Is there a way to link axes of imshow plots? Suppose I have a figure canvas with 3 plots... 2 are images of the same dimensions plotted with imshow, and the other is a scatterplot. I'd like to be able to link the x and y axes of the imshow plots so that when I zoom in one, the other zooms to the same coordinates, and when I pan in one, the other pans as well. I started hacking my way around this by subclassing NavigationToolbar2WxAgg (shown below)... but there are several problems here. 1) This will link the axes of all plots in a canvas since all I've done is get rid of the checks for a.in_axes() 2) This worked well for panning, but zooming caused all subplots to zoom from the same global point, rather than from the same point in each of their respective axes. Can anyone suggest a workaround? Much thanks! -Adam from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg as NavigationToolbar class MyNavToolbar(NavigationToolbar): def __init__(self, canvas, cpfig): NavigationToolbar.__init__(self, canvas) # override def press_pan(self, event): 'the press mouse button in pan/zoom mode callback' if event.button == 1: self._button_pressed=1 elif event.button == 3: self._button_pressed=3 else: self._button_pressed=None return x, y = event.x, event.y # push the current view to define home if stack is empty if self._views.empty(): self.push_current() self._xypress=[] for i, a in enumerate(self.canvas.figure.get_axes()): # only difference from overridden method is that this one doesn't # check a.in_axes(event) if x is not None and y is not None and a.get_navigate(): a.start_pan(x, y, event.button) self._xypress.append((a, i)) self.canvas.mpl_disconnect(self._idDrag) self._idDrag=self.canvas.mpl_connect('motion_notify_event', self.drag_pan) def press_zoom(self, event): 'the press mouse button in zoom to rect mode callback' if event.button == 1: self._button_pressed=1 elif event.button == 3: self._button_pressed=3 else: self._button_pressed=None return x, y = event.x, event.y # push the current view to define home if stack is empty if self._views.empty(): self.push_current() self._xypress=[] for i, a in enumerate(self.canvas.figure.get_axes()): # only difference from overridden method is that this one doesn't # check a.in_axes(event) if x is not None and y is not None and a.get_navigate() and a.can_zoom(): self._xypress.append(( x, y, a, i, a.viewLim.frozen(), a.transData.frozen())) self.press(event)
ax1 = subplot(121)
ax2 = subplot(122, sharex=ax1, sharey=ax1)
ax1.set_adjustable("box-forced")
ax2.set_adjustable("box-forced")
arr1 = np.arange(100).reshape((10, 10))
ax1.imshow(arr1)
arr2 = np.arange(100, 0, -1).reshape((10, 10))
ax2.imshow(arr2)
Note the use of set_adjustable("box-forced").
sharex and sharey does not get along with axes of aspect=1 & adjustable="box".
-JJ
On Thu, May 27, 2010 at 2:10 PM, <PH...@ge...> wrote:
> Do the "sharex" and "sharey" kwargs help?
>
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axes
>
> http://matplotlib.sourceforge.net/examples/pylab_examples/shared_axis_demo.html
>
> -paul
>
>
>
> From: Adam Fraser [mailto:ada...@gm...]
> Sent: Thursday, May 27, 2010 10:44 AM
> To: matplotlib-users
> Subject: [Matplotlib-users] Is there a way to link axes of imshow plots?
>
>
>
> Suppose I have a figure canvas with 3 plots... 2 are images of the same
> dimensions plotted with imshow, and the other is a scatterplot. I'd like to
> be able to link the x and y axes of the imshow plots so that when I zoom in
> one, the other zooms to the same coordinates, and when I pan in one, the
> other pans as well.
>
>
>
> I started hacking my way around this by subclassing NavigationToolbar2WxAgg
> (shown below)... but there are several problems here.
>
> 1) This will link the axes of all plots in a canvas since all I've done is
> get rid of the checks for a.in_axes()
>
> 2) This worked well for panning, but zooming caused all subplots to zoom
> from the same global point, rather than from the same point in each of their
> respective axes.
>
>
>
> Can anyone suggest a workaround?
>
>
>
> Much thanks!
>
> -Adam
>
>
>
> from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg as
> NavigationToolbar
>
> class MyNavToolbar(NavigationToolbar):
>
> def __init__(self, canvas, cpfig):
>
> NavigationToolbar.__init__(self, canvas)
>
>
>
> # override
>
> def press_pan(self, event):
>
> 'the press mouse button in pan/zoom mode callback'
>
>
>
> if event.button == 1:
>
> self._button_pressed=1
>
> elif event.button == 3:
>
> self._button_pressed=3
>
> else:
>
> self._button_pressed=None
>
> return
>
>
>
> x, y = event.x, event.y
>
>
>
> # push the current view to define home if stack is empty
>
> if self._views.empty(): self.push_current()
>
>
>
> self._xypress=[]
>
> for i, a in enumerate(self.canvas.figure.get_axes()):
>
> # only difference from overridden method is that this one
> doesn't
>
> # check a.in_axes(event)
>
> if x is not None and y is not None and a.get_navigate():
>
> a.start_pan(x, y, event.button)
>
> self._xypress.append((a, i))
>
> self.canvas.mpl_disconnect(self._idDrag)
>
> self._idDrag=self.canvas.mpl_connect('motion_notify_event',
> self.drag_pan)
>
>
>
> def press_zoom(self, event):
>
> 'the press mouse button in zoom to rect mode callback'
>
> if event.button == 1:
>
> self._button_pressed=1
>
> elif event.button == 3:
>
> self._button_pressed=3
>
> else:
>
> self._button_pressed=None
>
> return
>
>
>
> x, y = event.x, event.y
>
>
>
> # push the current view to define home if stack is empty
>
> if self._views.empty(): self.push_current()
>
>
>
> self._xypress=[]
>
> for i, a in enumerate(self.canvas.figure.get_axes()):
>
> # only difference from overridden method is that this one
> doesn't
>
> # check a.in_axes(event)
>
> if x is not None and y is not None and a.get_navigate() and
> a.can_zoom():
>
> self._xypress.append(( x, y, a, i, a.viewLim.frozen(),
> a.transData.frozen()))
>
>
>
> self.press(event)
>
>
>
>
>
>
>
> ------------------------------------------------------------------------------
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
Thanks very much,
I'm getting ValueError: argument must be "box", or "datalim" at
set_adjustable...
I'm using Matplotlib version 0.98.5.3, do I need to update?
On Thu, May 27, 2010 at 2:59 PM, Jae-Joon Lee <lee...@gm...> wrote:
> ax1 = subplot(121)
> ax2 = subplot(122, sharex=ax1, sharey=ax1)
>
> ax1.set_adjustable("box-forced")
> ax2.set_adjustable("box-forced")
>
> arr1 = np.arange(100).reshape((10, 10))
> ax1.imshow(arr1)
>
> arr2 = np.arange(100, 0, -1).reshape((10, 10))
> ax2.imshow(arr2)
>
> Note the use of set_adjustable("box-forced").
> sharex and sharey does not get along with axes of aspect=1 &
> adjustable="box".
>
> -JJ
>
>
>
> On Thu, May 27, 2010 at 2:10 PM, <PH...@ge...> wrote:
> > Do the "sharex" and "sharey" kwargs help?
> >
> >
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axes
> >
> >
> http://matplotlib.sourceforge.net/examples/pylab_examples/shared_axis_demo.html
> >
> > -paul
> >
> >
> >
> > From: Adam Fraser [mailto:ada...@gm...]
> > Sent: Thursday, May 27, 2010 10:44 AM
> > To: matplotlib-users
> > Subject: [Matplotlib-users] Is there a way to link axes of imshow plots?
> >
> >
> >
> > Suppose I have a figure canvas with 3 plots... 2 are images of the same
> > dimensions plotted with imshow, and the other is a scatterplot. I'd like
> to
> > be able to link the x and y axes of the imshow plots so that when I zoom
> in
> > one, the other zooms to the same coordinates, and when I pan in one, the
> > other pans as well.
> >
> >
> >
> > I started hacking my way around this by
> subclassing NavigationToolbar2WxAgg
> > (shown below)... but there are several problems here.
> >
> > 1) This will link the axes of all plots in a canvas since all I've done
> is
> > get rid of the checks for a.in_axes()
> >
> > 2) This worked well for panning, but zooming caused all subplots to zoom
> > from the same global point, rather than from the same point in each of
> their
> > respective axes.
> >
> >
> >
> > Can anyone suggest a workaround?
> >
> >
> >
> > Much thanks!
> >
> > -Adam
> >
> >
> >
> > from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg as
> > NavigationToolbar
> >
> > class MyNavToolbar(NavigationToolbar):
> >
> > def __init__(self, canvas, cpfig):
> >
> > NavigationToolbar.__init__(self, canvas)
> >
> >
> >
> > # override
> >
> > def press_pan(self, event):
> >
> > 'the press mouse button in pan/zoom mode callback'
> >
> >
> >
> > if event.button == 1:
> >
> > self._button_pressed=1
> >
> > elif event.button == 3:
> >
> > self._button_pressed=3
> >
> > else:
> >
> > self._button_pressed=None
> >
> > return
> >
> >
> >
> > x, y = event.x, event.y
> >
> >
> >
> > # push the current view to define home if stack is empty
> >
> > if self._views.empty(): self.push_current()
> >
> >
> >
> > self._xypress=[]
> >
> > for i, a in enumerate(self.canvas.figure.get_axes()):
> >
> > # only difference from overridden method is that this one
> > doesn't
> >
> > # check a.in_axes(event)
> >
> > if x is not None and y is not None and a.get_navigate():
> >
> > a.start_pan(x, y, event.button)
> >
> > self._xypress.append((a, i))
> >
> > self.canvas.mpl_disconnect(self._idDrag)
> >
> >
> self._idDrag=self.canvas.mpl_connect('motion_notify_event',
> > self.drag_pan)
> >
> >
> >
> > def press_zoom(self, event):
> >
> > 'the press mouse button in zoom to rect mode callback'
> >
> > if event.button == 1:
> >
> > self._button_pressed=1
> >
> > elif event.button == 3:
> >
> > self._button_pressed=3
> >
> > else:
> >
> > self._button_pressed=None
> >
> > return
> >
> >
> >
> > x, y = event.x, event.y
> >
> >
> >
> > # push the current view to define home if stack is empty
> >
> > if self._views.empty(): self.push_current()
> >
> >
> >
> > self._xypress=[]
> >
> > for i, a in enumerate(self.canvas.figure.get_axes()):
> >
> > # only difference from overridden method is that this one
> > doesn't
> >
> > # check a.in_axes(event)
> >
> > if x is not None and y is not None and a.get_navigate() and
> > a.can_zoom():
> >
> > self._xypress.append(( x, y, a, i, a.viewLim.frozen(),
> > a.transData.frozen()))
> >
> >
> >
> > self.press(event)
> >
> >
> >
> >
> >
> >
> >
> >
> ------------------------------------------------------------------------------
> >
> >
> > _______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
> >
>
On 05/27/2010 09:08 AM, Adam Fraser wrote:
> Thanks very much,
>
> I'm getting ValueError: argument must be "box", or "datalim" at
> set_adjustable...
>
> I'm using Matplotlib version 0.98.5.3, do I need to update?
>
Yes. Unfortunately, you will need to build from svn. JJ added
box-forced in January, and we have not had a release since then.
Eric
>
> On Thu, May 27, 2010 at 2:59 PM, Jae-Joon Lee <lee...@gm...
> <mailto:lee...@gm...>> wrote:
>
> ax1 = subplot(121)
> ax2 = subplot(122, sharex=ax1, sharey=ax1)
>
> ax1.set_adjustable("box-forced")
> ax2.set_adjustable("box-forced")
>
> arr1 = np.arange(100).reshape((10, 10))
> ax1.imshow(arr1)
>
> arr2 = np.arange(100, 0, -1).reshape((10, 10))
> ax2.imshow(arr2)
>
> Note the use of set_adjustable("box-forced").
> sharex and sharey does not get along with axes of aspect=1 &
> adjustable="box".
>
> -JJ
Hi all, I updated to version 99.1.1 and I'm still getting the error
"ValueError: argument must be "box", or "datalim" at set_adjustable..."
from axes.py
when I try to do ax.set_adjustable("box-forced") as you suggested.
-Adam
On Thu, May 27, 2010 at 3:08 PM, Adam Fraser <ada...@gm...>wrote:
> Thanks very much,
>
> I'm getting ValueError: argument must be "box", or "datalim" at
> set_adjustable...
>
> I'm using Matplotlib version 0.98.5.3, do I need to update?
>
>
> On Thu, May 27, 2010 at 2:59 PM, Jae-Joon Lee <lee...@gm...>wrote:
>
>> ax1 = subplot(121)
>> ax2 = subplot(122, sharex=ax1, sharey=ax1)
>>
>> ax1.set_adjustable("box-forced")
>> ax2.set_adjustable("box-forced")
>>
>> arr1 = np.arange(100).reshape((10, 10))
>> ax1.imshow(arr1)
>>
>> arr2 = np.arange(100, 0, -1).reshape((10, 10))
>> ax2.imshow(arr2)
>>
>> Note the use of set_adjustable("box-forced").
>> sharex and sharey does not get along with axes of aspect=1 &
>> adjustable="box".
>>
>> -JJ
>>
>>
>>
>> On Thu, May 27, 2010 at 2:10 PM, <PH...@ge...> wrote:
>> > Do the "sharex" and "sharey" kwargs help?
>> >
>> >
>> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axes
>> >
>> >
>> http://matplotlib.sourceforge.net/examples/pylab_examples/shared_axis_demo.html
>> >
>> > -paul
>> >
>> >
>> >
>> > From: Adam Fraser [mailto:ada...@gm...]
>> > Sent: Thursday, May 27, 2010 10:44 AM
>> > To: matplotlib-users
>> > Subject: [Matplotlib-users] Is there a way to link axes of imshow plots?
>> >
>> >
>> >
>> > Suppose I have a figure canvas with 3 plots... 2 are images of the same
>> > dimensions plotted with imshow, and the other is a scatterplot. I'd like
>> to
>> > be able to link the x and y axes of the imshow plots so that when I zoom
>> in
>> > one, the other zooms to the same coordinates, and when I pan in one, the
>> > other pans as well.
>> >
>> >
>> >
>> > I started hacking my way around this by
>> subclassing NavigationToolbar2WxAgg
>> > (shown below)... but there are several problems here.
>> >
>> > 1) This will link the axes of all plots in a canvas since all I've done
>> is
>> > get rid of the checks for a.in_axes()
>> >
>> > 2) This worked well for panning, but zooming caused all subplots to zoom
>> > from the same global point, rather than from the same point in each of
>> their
>> > respective axes.
>> >
>> >
>> >
>> > Can anyone suggest a workaround?
>> >
>> >
>> >
>> > Much thanks!
>> >
>> > -Adam
>> >
>> >
>> >
>> > from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg as
>> > NavigationToolbar
>> >
>> > class MyNavToolbar(NavigationToolbar):
>> >
>> > def __init__(self, canvas, cpfig):
>> >
>> > NavigationToolbar.__init__(self, canvas)
>> >
>> >
>> >
>> > # override
>> >
>> > def press_pan(self, event):
>> >
>> > 'the press mouse button in pan/zoom mode callback'
>> >
>> >
>> >
>> > if event.button == 1:
>> >
>> > self._button_pressed=1
>> >
>> > elif event.button == 3:
>> >
>> > self._button_pressed=3
>> >
>> > else:
>> >
>> > self._button_pressed=None
>> >
>> > return
>> >
>> >
>> >
>> > x, y = event.x, event.y
>> >
>> >
>> >
>> > # push the current view to define home if stack is empty
>> >
>> > if self._views.empty(): self.push_current()
>> >
>> >
>> >
>> > self._xypress=[]
>> >
>> > for i, a in enumerate(self.canvas.figure.get_axes()):
>> >
>> > # only difference from overridden method is that this one
>> > doesn't
>> >
>> > # check a.in_axes(event)
>> >
>> > if x is not None and y is not None and a.get_navigate():
>> >
>> > a.start_pan(x, y, event.button)
>> >
>> > self._xypress.append((a, i))
>> >
>> > self.canvas.mpl_disconnect(self._idDrag)
>> >
>> >
>> self._idDrag=self.canvas.mpl_connect('motion_notify_event',
>> > self.drag_pan)
>> >
>> >
>> >
>> > def press_zoom(self, event):
>> >
>> > 'the press mouse button in zoom to rect mode callback'
>> >
>> > if event.button == 1:
>> >
>> > self._button_pressed=1
>> >
>> > elif event.button == 3:
>> >
>> > self._button_pressed=3
>> >
>> > else:
>> >
>> > self._button_pressed=None
>> >
>> > return
>> >
>> >
>> >
>> > x, y = event.x, event.y
>> >
>> >
>> >
>> > # push the current view to define home if stack is empty
>> >
>> > if self._views.empty(): self.push_current()
>> >
>> >
>> >
>> > self._xypress=[]
>> >
>> > for i, a in enumerate(self.canvas.figure.get_axes()):
>> >
>> > # only difference from overridden method is that this one
>> > doesn't
>> >
>> > # check a.in_axes(event)
>> >
>> > if x is not None and y is not None and a.get_navigate() and
>> > a.can_zoom():
>> >
>> > self._xypress.append(( x, y, a, i, a.viewLim.frozen(),
>> > a.transData.frozen()))
>> >
>> >
>> >
>> > self.press(event)
>> >
>> >
>> >
>> >
>> >
>> >
>> >
>> >
>> ------------------------------------------------------------------------------
>> >
>> >
>> > _______________________________________________
>> > Matplotlib-users mailing list
>> > Mat...@li...
>> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>> >
>> >
>>
>
>
As Eric told, you need to build it from the "svn". Unfortunately, no released version (I believe) includes this feature. http://matplotlib.sourceforge.net/faq/installing_faq.html#install-from-svn Anyhow, the patch for "box-forced" involves only a few lines of change. You may consider to apply it by yourself (or do some monkey patching). Regards, -JJ On Tue, Jun 1, 2010 at 2:11 PM, Adam Fraser <ada...@gm...> wrote: > Hi all, I updated to version 99.1.1 and I'm still getting the error > "ValueError: argument must be "box", or "datalim" at set_adjustable..." > from axes.py > when I try to do ax.set_adjustable("box-forced") as you suggested. > -Adam > > > On Thu, May 27, 2010 at 3:08 PM, Adam Fraser <ada...@gm...> > wrote: >> >> Thanks very much, >> I'm getting ValueError: argument must be "box", or "datalim" at >> set_adjustable... >> I'm using Matplotlib version 0.98.5.3, do I need to update? >> >> On Thu, May 27, 2010 at 2:59 PM, Jae-Joon Lee <lee...@gm...> >> wrote: >>> >>> ax1 = subplot(121) >>> ax2 = subplot(122, sharex=ax1, sharey=ax1) >>> >>> ax1.set_adjustable("box-forced") >>> ax2.set_adjustable("box-forced") >>> >>> arr1 = np.arange(100).reshape((10, 10)) >>> ax1.imshow(arr1) >>> >>> arr2 = np.arange(100, 0, -1).reshape((10, 10)) >>> ax2.imshow(arr2) >>> >>> Note the use of set_adjustable("box-forced"). >>> sharex and sharey does not get along with axes of aspect=1 & >>> adjustable="box". >>> >>> -JJ >>> >>> >>> >>> On Thu, May 27, 2010 at 2:10 PM, <PH...@ge...> wrote: >>> > Do the "sharex" and "sharey" kwargs help? >>> > >>> > >>> > http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axes >>> > >>> > >>> > http://matplotlib.sourceforge.net/examples/pylab_examples/shared_axis_demo.html >>> > >>> > -paul >>> > >>> > >>> > >>> > From: Adam Fraser [mailto:ada...@gm...] >>> > Sent: Thursday, May 27, 2010 10:44 AM >>> > To: matplotlib-users >>> > Subject: [Matplotlib-users] Is there a way to link axes of imshow >>> > plots? >>> > >>> > >>> > >>> > Suppose I have a figure canvas with 3 plots... 2 are images of the same >>> > dimensions plotted with imshow, and the other is a scatterplot. I'd >>> > like to >>> > be able to link the x and y axes of the imshow plots so that when I >>> > zoom in >>> > one, the other zooms to the same coordinates, and when I pan in one, >>> > the >>> > other pans as well. >>> > >>> > >>> > >>> > I started hacking my way around this by >>> > subclassing NavigationToolbar2WxAgg >>> > (shown below)... but there are several problems here. >>> > >>> > 1) This will link the axes of all plots in a canvas since all I've done >>> > is >>> > get rid of the checks for a.in_axes() >>> > >>> > 2) This worked well for panning, but zooming caused all subplots to >>> > zoom >>> > from the same global point, rather than from the same point in each of >>> > their >>> > respective axes. >>> > >>> > >>> > >>> > Can anyone suggest a workaround? >>> > >>> > >>> > >>> > Much thanks! >>> > >>> > -Adam >>> > >>> > >>> > >>> > from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg >>> > as >>> > NavigationToolbar >>> > >>> > class MyNavToolbar(NavigationToolbar): >>> > >>> > def __init__(self, canvas, cpfig): >>> > >>> > NavigationToolbar.__init__(self, canvas) >>> > >>> > >>> > >>> > # override >>> > >>> > def press_pan(self, event): >>> > >>> > 'the press mouse button in pan/zoom mode callback' >>> > >>> > >>> > >>> > if event.button == 1: >>> > >>> > self._button_pressed=1 >>> > >>> > elif event.button == 3: >>> > >>> > self._button_pressed=3 >>> > >>> > else: >>> > >>> > self._button_pressed=None >>> > >>> > return >>> > >>> > >>> > >>> > x, y = event.x, event.y >>> > >>> > >>> > >>> > # push the current view to define home if stack is empty >>> > >>> > if self._views.empty(): self.push_current() >>> > >>> > >>> > >>> > self._xypress=[] >>> > >>> > for i, a in enumerate(self.canvas.figure.get_axes()): >>> > >>> > # only difference from overridden method is that this one >>> > doesn't >>> > >>> > # check a.in_axes(event) >>> > >>> > if x is not None and y is not None and a.get_navigate(): >>> > >>> > a.start_pan(x, y, event.button) >>> > >>> > self._xypress.append((a, i)) >>> > >>> > self.canvas.mpl_disconnect(self._idDrag) >>> > >>> > >>> > self._idDrag=self.canvas.mpl_connect('motion_notify_event', >>> > self.drag_pan) >>> > >>> > >>> > >>> > def press_zoom(self, event): >>> > >>> > 'the press mouse button in zoom to rect mode callback' >>> > >>> > if event.button == 1: >>> > >>> > self._button_pressed=1 >>> > >>> > elif event.button == 3: >>> > >>> > self._button_pressed=3 >>> > >>> > else: >>> > >>> > self._button_pressed=None >>> > >>> > return >>> > >>> > >>> > >>> > x, y = event.x, event.y >>> > >>> > >>> > >>> > # push the current view to define home if stack is empty >>> > >>> > if self._views.empty(): self.push_current() >>> > >>> > >>> > >>> > self._xypress=[] >>> > >>> > for i, a in enumerate(self.canvas.figure.get_axes()): >>> > >>> > # only difference from overridden method is that this one >>> > doesn't >>> > >>> > # check a.in_axes(event) >>> > >>> > if x is not None and y is not None and a.get_navigate() and >>> > a.can_zoom(): >>> > >>> > self._xypress.append(( x, y, a, i, a.viewLim.frozen(), >>> > a.transData.frozen())) >>> > >>> > >>> > >>> > self.press(event) >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > ------------------------------------------------------------------------------ >>> > >>> > >>> > _______________________________________________ >>> > Matplotlib-users mailing list >>> > Mat...@li... >>> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> > >>> > >> > >
On 6/9/10 1:58 PM, Benjamin Root wrote:
> Has anybody given any further thought to the implication of having
> Basemap set adjustable as "box-forced" instead of "box"? So far, it
> has been working just fine for me, but I have no clue if there are any
> unintended side-effects.
>
> Ben Root
Ben: To summarize the discussion so far, it seems that "box-forced"
should not be used, and either Basemap should continue to use
adjustable="box" (for the reasons Eric gave in his post yesterday) or
adjustable should not be set at all by Basemap and that job should be
left to the user (since adjustable='box' is the default anyway, as
Jae-Joon pointed out today). Perhaps it would help if you could provide
a usage example for AxesGrid axes sharing with Basemap, so we can see
what the consequences of changing the current behavior are.
-Jeff
>
>
> On Tue, Jun 1, 2010 at 6:00 PM, Benjamin Root <ben...@ou...
> <mailto:ben...@ou...>> wrote:
>
> Right, that is sort of what I am asking. My thinking is that
> Basemap could use 'box-forced' instead of 'box' for the adjustable
> parameter in order to make it and AxesGrid compatible. Usually,
> if one wants to use AxesGrid, they all should have the same domain
> and aspect ratio. I just have no clue what sort of repricussions
> that has for other use cases.
>
> So far, this has worked just fine for me, but I hardly represent
> the normal use cases of Basemap and AxesGrid.
>
> Ben Root
>
>
> On Tue, Jun 1, 2010 at 5:20 PM, Jae-Joon Lee <lee...@gm...
> <mailto:lee...@gm...>> wrote:
>
> If Basemap explicitly sets aspect=1 and adjustable="box" at
> the same
> time, you cannot use this with any axes that shares its axis with
> others (including the axes created by the AxesGrid).
>
> You need to somehow avoid the set_aspect call with adjustable"box"
> (you can set box-forced in stead).
>
> -JJ
>
>
> On Tue, Jun 1, 2010 at 2:45 PM, Benjamin Root <ben...@ou...
> <mailto:ben...@ou...>> wrote:
> >
> > On a related note, I have noticed an incompatibility between
> AxesGrid and
> > Basemap. It appears that Basemap will explicitly set
> adjustable='box' when
> > it calls ax.set_aspect(), but AxesGrid will error out,
> saying that it has to
> > be 'datalim'. What are the implications of using
> 'box-forced' instead of
> > 'box' in Basemap?
> >
> > Ben Root
> >
> > On Thu, May 27, 2010 at 1:59 PM, Jae-Joon Lee
> <lee...@gm... <mailto:lee...@gm...>> wrote:
> >>
> >> ax1 = subplot(121)
> >> ax2 = subplot(122, sharex=ax1, sharey=ax1)
> >>
> >> ax1.set_adjustable("box-forced")
> >> ax2.set_adjustable("box-forced")
> >>
> >> arr1 = np.arange(100).reshape((10, 10))
> >> ax1.imshow(arr1)
> >>
> >> arr2 = np.arange(100, 0, -1).reshape((10, 10))
> >> ax2.imshow(arr2)
> >>
> >> Note the use of set_adjustable("box-forced").
> >> sharex and sharey does not get along with axes of aspect=1 &
> >> adjustable="box".
> >>
> >> -JJ
> >>
> >>
> >>
> >> On Thu, May 27, 2010 at 2:10 PM, <PH...@ge...
> <mailto:PH...@ge...>> wrote:
> >> > Do the "sharex" and "sharey" kwargs help?
> >> >
> >> >
> >> >
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axes
> >> >
> >> >
> >> >
> http://matplotlib.sourceforge.net/examples/pylab_examples/shared_axis_demo.html
> >> >
> >> > -paul
> >> >
> >> >
> >> >
> >> > From: Adam Fraser [mailto:ada...@gm...
> <mailto:ada...@gm...>]
> >> > Sent: Thursday, May 27, 2010 10:44 AM
> >> > To: matplotlib-users
> >> > Subject: [Matplotlib-users] Is there a way to link axes
> of imshow plots?
> >> >
> >> >
> >> >
> >> > Suppose I have a figure canvas with 3 plots... 2 are
> images of the same
> >> > dimensions plotted with imshow, and the other is a
> scatterplot. I'd like
> >> > to
> >> > be able to link the x and y axes of the imshow plots so
> that when I zoom
> >> > in
> >> > one, the other zooms to the same coordinates, and when I
> pan in one, the
> >> > other pans as well.
> >> >
> >> >
> >> >
> >> > I started hacking my way around this by
> >> > subclassing NavigationToolbar2WxAgg
> >> > (shown below)... but there are several problems here.
> >> >
> >> > 1) This will link the axes of all plots in a canvas since
> all I've done
> >> > is
> >> > get rid of the checks for a.in_axes()
> >> >
> >> > 2) This worked well for panning, but zooming caused all
> subplots to zoom
> >> > from the same global point, rather than from the same
> point in each of
> >> > their
> >> > respective axes.
> >> >
> >> >
> >> >
> >> > Can anyone suggest a workaround?
> >> >
> >> >
> >> >
> >> > Much thanks!
> >> >
> >> > -Adam
> >> >
> >> >
> >> >
> >> > from matplotlib.backends.backend_wxagg import
> NavigationToolbar2WxAgg as
> >> > NavigationToolbar
> >> >
> >> > class MyNavToolbar(NavigationToolbar):
> >> >
> >> > def __init__(self, canvas, cpfig):
> >> >
> >> > NavigationToolbar.__init__(self, canvas)
> >> >
> >> >
> >> >
> >> > # override
> >> >
> >> > def press_pan(self, event):
> >> >
> >> > 'the press mouse button in pan/zoom mode callback'
> >> >
> >> >
> >> >
> >> > if event.button == 1:
> >> >
> >> > self._button_pressed=1
> >> >
> >> > elif event.button == 3:
> >> >
> >> > self._button_pressed=3
> >> >
> >> > else:
> >> >
> >> > self._button_pressed=None
> >> >
> >> > return
> >> >
> >> >
> >> >
> >> > x, y = event.x, event.y
> >> >
> >> >
> >> >
> >> > # push the current view to define home if stack
> is empty
> >> >
> >> > if self._views.empty(): self.push_current()
> >> >
> >> >
> >> >
> >> > self._xypress=[]
> >> >
> >> > for i, a in enumerate(self.canvas.figure.get_axes()):
> >> >
> >> > # only difference from overridden method is
> that this one
> >> > doesn't
> >> >
> >> > # check a.in_axes(event)
> >> >
> >> > if x is not None and y is not None and
> a.get_navigate():
> >> >
> >> > a.start_pan(x, y, event.button)
> >> >
> >> > self._xypress.append((a, i))
> >> >
> >> > self.canvas.mpl_disconnect(self._idDrag)
> >> >
> >> >
> >> > self._idDrag=self.canvas.mpl_connect('motion_notify_event',
> >> > self.drag_pan)
> >> >
> >> >
> >> >
> >> > def press_zoom(self, event):
> >> >
> >> > 'the press mouse button in zoom to rect mode
> callback'
> >> >
> >> > if event.button == 1:
> >> >
> >> > self._button_pressed=1
> >> >
> >> > elif event.button == 3:
> >> >
> >> > self._button_pressed=3
> >> >
> >> > else:
> >> >
> >> > self._button_pressed=None
> >> >
> >> > return
> >> >
> >> >
> >> >
> >> > x, y = event.x, event.y
> >> >
> >> >
> >> >
> >> > # push the current view to define home if stack
> is empty
> >> >
> >> > if self._views.empty(): self.push_current()
> >> >
> >> >
> >> >
> >> > self._xypress=[]
> >> >
> >> > for i, a in enumerate(self.canvas.figure.get_axes()):
> >> >
> >> > # only difference from overridden method is
> that this one
> >> > doesn't
> >> >
> >> > # check a.in_axes(event)
> >> >
> >> > if x is not None and y is not None and
> a.get_navigate() and
> >> > a.can_zoom():
> >> >
> >> > self._xypress.append(( x, y, a, i,
> a.viewLim.frozen(),
> >> > a.transData.frozen()))
> >> >
> >> >
> >> >
> >> > self.press(event)
> >> >
> >> >
> >> >
> >> >
> >> >
> >> >
> >> >
> >> >
> >> >
> ------------------------------------------------------------------------------
> >> >
> >> >
> >> > _______________________________________________
> >> > Matplotlib-users mailing list
> >> > Mat...@li...
> <mailto:Mat...@li...>
> >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >> >
> >> >
> >>
> >>
> >>
> ------------------------------------------------------------------------------
> >>
> >> _______________________________________________
> >> Matplotlib-users mailing list
> >> Mat...@li...
> <mailto:Mat...@li...>
> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
> >
> >
> ------------------------------------------------------------------------------
> >
> >
> > _______________________________________________
> > Matplotlib-devel mailing list
> > Mat...@li...
> <mailto:Mat...@li...>
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
> >
> >
>
> ------------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-devel mailing list
> Mat...@li...
> <mailto:Mat...@li...>
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>
>
>
--
Jeffrey S. Whitaker Phone : (303)497-6313
Meteorologist FAX : (303)497-6449
NOAA/OAR/PSD R/PSD1 Email : Jef...@no...
325 Broadway Office : Skaggs Research Cntr 1D-113
Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg
On Thu, Jun 10, 2010 at 11:05 AM, Jeff Whitaker <js...@fa...> wrote: > On 6/9/10 1:58 PM, Benjamin Root wrote: > > Has anybody given any further thought to the implication of having Basemap > set adjustable as "box-forced" instead of "box"? So far, it has been > working just fine for me, but I have no clue if there are any unintended > side-effects. > > Ben Root > > > Ben: To summarize the discussion so far, it seems that "box-forced" should > not be used, and either Basemap should continue to use adjustable="box" (for > the reasons Eric gave in his post yesterday) or adjustable should not be set > at all by Basemap and that job should be left to the user (since > adjustable='box' is the default anyway, as Jae-Joon pointed out today). > Perhaps it would help if you could provide a usage example for AxesGrid axes > sharing with Basemap, so we can see what the consequences of changing the > current behavior are. > > -Jeff > > Jeff, Maybe it isn't a use-case per se, but I have found that it is much easier to use axes_grid1 instead of subplots to produce multiple radar plots that all use the same colorbar. For example, I have 3 radar plots to show, and I want a single colorbar on the right-hand side. To a newbie, one would add three subplots with a .colorbar() command for the last one. Unfortunately, the newbie will discover that the third plot will be smaller than the other two because that last axes has to be split between two objects. To someone a little more advanced, you would create 4 subplots, but fool around with the size of the last axes (and also have to discover to use ColorbarBase instead of the regular colorbar call). But, with axes_grid, this is quite trivial and the results look very nice. This is a png image of a time series I recently included for a publication shows the result using AxesGrid: http://dl.dropbox.com/u/7325604/NWRT_TimeSeries.png Ben Root P.S. - I have found a 'bug' of sorts with using 'box-forced' for Basemap and AxesGrid. For the displayed plot, if one were to zoom in on one of the plots, the other plots will zoom in as well (which I think is neat), but they won't update their bbox to completely match the zoomed-in axes. I guess this would be an argument against using 'box-forced'? > > > On Tue, Jun 1, 2010 at 6:00 PM, Benjamin Root <ben...@ou...> wrote: > >> Right, that is sort of what I am asking. My thinking is that Basemap >> could use 'box-forced' instead of 'box' for the adjustable parameter in >> order to make it and AxesGrid compatible. Usually, if one wants to use >> AxesGrid, they all should have the same domain and aspect ratio. I just >> have no clue what sort of repricussions that has for other use cases. >> >> So far, this has worked just fine for me, but I hardly represent the >> normal use cases of Basemap and AxesGrid. >> >> Ben Root >> >> >> On Tue, Jun 1, 2010 at 5:20 PM, Jae-Joon Lee <lee...@gm...>wrote: >> >>> If Basemap explicitly sets aspect=1 and adjustable="box" at the same >>> time, you cannot use this with any axes that shares its axis with >>> others (including the axes created by the AxesGrid). >>> >>> You need to somehow avoid the set_aspect call with adjustable"box" >>> (you can set box-forced in stead). >>> >>> -JJ >>> >>> >>> On Tue, Jun 1, 2010 at 2:45 PM, Benjamin Root <ben...@ou...> wrote: >>> > >>> > On a related note, I have noticed an incompatibility between AxesGrid >>> and >>> > Basemap. It appears that Basemap will explicitly set adjustable='box' >>> when >>> > it calls ax.set_aspect(), but AxesGrid will error out, saying that it >>> has to >>> > be 'datalim'. What are the implications of using 'box-forced' instead >>> of >>> > 'box' in Basemap? >>> > >>> > Ben Root >>> > >>> > On Thu, May 27, 2010 at 1:59 PM, Jae-Joon Lee <lee...@gm...> >>> wrote: >>> >> >>> >> ax1 = subplot(121) >>> >> ax2 = subplot(122, sharex=ax1, sharey=ax1) >>> >> >>> >> ax1.set_adjustable("box-forced") >>> >> ax2.set_adjustable("box-forced") >>> >> >>> >> arr1 = np.arange(100).reshape((10, 10)) >>> >> ax1.imshow(arr1) >>> >> >>> >> arr2 = np.arange(100, 0, -1).reshape((10, 10)) >>> >> ax2.imshow(arr2) >>> >> >>> >> Note the use of set_adjustable("box-forced"). >>> >> sharex and sharey does not get along with axes of aspect=1 & >>> >> adjustable="box". >>> >> >>> >> -JJ >>> >> >>> >> >>> >> >>> >> On Thu, May 27, 2010 at 2:10 PM, <PH...@ge...> wrote: >>> >> > Do the "sharex" and "sharey" kwargs help? >>> >> > >>> >> > >>> >> > >>> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axes >>> >> > >>> >> > >>> >> > >>> http://matplotlib.sourceforge.net/examples/pylab_examples/shared_axis_demo.html >>> >> > >>> >> > -paul >>> >> > >>> >> > >>> >> > >>> >> > From: Adam Fraser [mailto:ada...@gm...] >>> >> > Sent: Thursday, May 27, 2010 10:44 AM >>> >> > To: matplotlib-users >>> >> > Subject: [Matplotlib-users] Is there a way to link axes of imshow >>> plots? >>> >> > >>> >> > >>> >> > >>> >> > Suppose I have a figure canvas with 3 plots... 2 are images of the >>> same >>> >> > dimensions plotted with imshow, and the other is a scatterplot. I'd >>> like >>> >> > to >>> >> > be able to link the x and y axes of the imshow plots so that when I >>> zoom >>> >> > in >>> >> > one, the other zooms to the same coordinates, and when I pan in one, >>> the >>> >> > other pans as well. >>> >> > >>> >> > >>> >> > >>> >> > I started hacking my way around this by >>> >> > subclassing NavigationToolbar2WxAgg >>> >> > (shown below)... but there are several problems here. >>> >> > >>> >> > 1) This will link the axes of all plots in a canvas since all I've >>> done >>> >> > is >>> >> > get rid of the checks for a.in_axes() >>> >> > >>> >> > 2) This worked well for panning, but zooming caused all subplots to >>> zoom >>> >> > from the same global point, rather than from the same point in each >>> of >>> >> > their >>> >> > respective axes. >>> >> > >>> >> > >>> >> > >>> >> > Can anyone suggest a workaround? >>> >> > >>> >> > >>> >> > >>> >> > Much thanks! >>> >> > >>> >> > -Adam >>> >> > >>> >> > >>> >> > >>> >> > from matplotlib.backends.backend_wxagg import >>> NavigationToolbar2WxAgg as >>> >> > NavigationToolbar >>> >> > >>> >> > class MyNavToolbar(NavigationToolbar): >>> >> > >>> >> > def __init__(self, canvas, cpfig): >>> >> > >>> >> > NavigationToolbar.__init__(self, canvas) >>> >> > >>> >> > >>> >> > >>> >> > # override >>> >> > >>> >> > def press_pan(self, event): >>> >> > >>> >> > 'the press mouse button in pan/zoom mode callback' >>> >> > >>> >> > >>> >> > >>> >> > if event.button == 1: >>> >> > >>> >> > self._button_pressed=1 >>> >> > >>> >> > elif event.button == 3: >>> >> > >>> >> > self._button_pressed=3 >>> >> > >>> >> > else: >>> >> > >>> >> > self._button_pressed=None >>> >> > >>> >> > return >>> >> > >>> >> > >>> >> > >>> >> > x, y = event.x, event.y >>> >> > >>> >> > >>> >> > >>> >> > # push the current view to define home if stack is empty >>> >> > >>> >> > if self._views.empty(): self.push_current() >>> >> > >>> >> > >>> >> > >>> >> > self._xypress=[] >>> >> > >>> >> > for i, a in enumerate(self.canvas.figure.get_axes()): >>> >> > >>> >> > # only difference from overridden method is that this >>> one >>> >> > doesn't >>> >> > >>> >> > # check a.in_axes(event) >>> >> > >>> >> > if x is not None and y is not None and a.get_navigate(): >>> >> > >>> >> > a.start_pan(x, y, event.button) >>> >> > >>> >> > self._xypress.append((a, i)) >>> >> > >>> >> > self.canvas.mpl_disconnect(self._idDrag) >>> >> > >>> >> > >>> >> > self._idDrag=self.canvas.mpl_connect('motion_notify_event', >>> >> > self.drag_pan) >>> >> > >>> >> > >>> >> > >>> >> > def press_zoom(self, event): >>> >> > >>> >> > 'the press mouse button in zoom to rect mode callback' >>> >> > >>> >> > if event.button == 1: >>> >> > >>> >> > self._button_pressed=1 >>> >> > >>> >> > elif event.button == 3: >>> >> > >>> >> > self._button_pressed=3 >>> >> > >>> >> > else: >>> >> > >>> >> > self._button_pressed=None >>> >> > >>> >> > return >>> >> > >>> >> > >>> >> > >>> >> > x, y = event.x, event.y >>> >> > >>> >> > >>> >> > >>> >> > # push the current view to define home if stack is empty >>> >> > >>> >> > if self._views.empty(): self.push_current() >>> >> > >>> >> > >>> >> > >>> >> > self._xypress=[] >>> >> > >>> >> > for i, a in enumerate(self.canvas.figure.get_axes()): >>> >> > >>> >> > # only difference from overridden method is that this >>> one >>> >> > doesn't >>> >> > >>> >> > # check a.in_axes(event) >>> >> > >>> >> > if x is not None and y is not None and a.get_navigate() >>> and >>> >> > a.can_zoom(): >>> >> > >>> >> > self._xypress.append(( x, y, a, i, >>> a.viewLim.frozen(), >>> >> > a.transData.frozen())) >>> >> > >>> >> > >>> >> > >>> >> > self.press(event) >>> >> > >>> >> > >>> >> > >>> >> > >>> >> > >>> >> > >>> >> > >>> >> > >>> >> > >>> ------------------------------------------------------------------------------ >>> >> > >>> >> > >>> >> > _______________________________________________ >>> >> > Matplotlib-users mailing list >>> >> > Mat...@li... >>> >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >> > >>> >> > >>> >> >>> >> >>> >> >>> ------------------------------------------------------------------------------ >>> >> >>> >> _______________________________________________ >>> >> Matplotlib-users mailing list >>> >> Mat...@li... >>> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> > >>> > >>> > >>> ------------------------------------------------------------------------------ >>> > >>> > >>> > _______________________________________________ >>> > Matplotlib-devel mailing list >>> > Mat...@li... >>> > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >>> > >>> > >>> >>> >>> ------------------------------------------------------------------------------ >>> >>> _______________________________________________ >>> Matplotlib-devel mailing list >>> Mat...@li... >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >>> >> >> > > > -- > Jeffrey S. Whitaker Phone : (303)497-6313 > Meteorologist FAX : (303)497-6449 > NOAA/OAR/PSD R/PSD1 Email : Jef...@no... > 325 Broadway Office : Skaggs Research Cntr 1D-113 > Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg > >
On Thu, Jun 10, 2010 at 12:47 PM, Benjamin Root <ben...@ou...> wrote: > P.S. - I have found a 'bug' of sorts with using 'box-forced' for Basemap and > AxesGrid. For the displayed plot, if one were to zoom in on one of the > plots, the other plots will zoom in as well (which I think is neat), but > they won't update their bbox to completely match the zoomed-in axes. I > guess this would be an argument against using 'box-forced'? By default, x-axis is shared along the axes in a same column and y-axis is shared along the axes in a same raw. i.e., in your example, only the y-axis are shared which I think is the source of your issue. http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axesgrid I think what you want is to use share_all=True. grid = AxesGrid(fig, 111, nrows_ncols=(1, 3), axes_pad=0.1, share_all=True, cbar_mode='single', cbar_pad=0.05, cbar_size=0.08, ) Is this solve your problem? Regards, -JJ
On Thu, Jun 10, 2010 at 1:00 PM, Jae-Joon Lee <lee...@gm...> wrote: > On Thu, Jun 10, 2010 at 12:47 PM, Benjamin Root <ben...@ou...> wrote: > > P.S. - I have found a 'bug' of sorts with using 'box-forced' for Basemap > and > > AxesGrid. For the displayed plot, if one were to zoom in on one of the > > plots, the other plots will zoom in as well (which I think is neat), but > > they won't update their bbox to completely match the zoomed-in axes. I > > guess this would be an argument against using 'box-forced'? > > By default, x-axis is shared along the axes in a same column and > y-axis is shared along the axes in a same raw. i.e., in your example, > only the y-axis are shared which I think is the source of your issue. > > > http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axesgrid > > I think what you want is to use share_all=True. > > grid = AxesGrid(fig, 111, > nrows_ncols=(1, 3), > axes_pad=0.1, > share_all=True, > cbar_mode='single', > cbar_pad=0.05, > cbar_size=0.08, > ) > > Is this solve your problem? > Regards, > > -JJ > Not that it was a "problem" per se, just merely an observation I had. Anyway, I tried that and indeed, zooming on one box zoomed all of the other boxes the same way. Might be good to include in the basemap examples, maybe? Thanks, Ben Root
On 6/10/10 12:00 PM, Jae-Joon Lee wrote: > On Thu, Jun 10, 2010 at 12:47 PM, Benjamin Root<ben...@ou...> wrote: > >> P.S. - I have found a 'bug' of sorts with using 'box-forced' for Basemap and >> AxesGrid. For the displayed plot, if one were to zoom in on one of the >> plots, the other plots will zoom in as well (which I think is neat), but >> they won't update their bbox to completely match the zoomed-in axes. I >> guess this would be an argument against using 'box-forced'? >> > By default, x-axis is shared along the axes in a same column and > y-axis is shared along the axes in a same raw. i.e., in your example, > only the y-axis are shared which I think is the source of your issue. > > http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axesgrid > > I think what you want is to use share_all=True. > > grid = AxesGrid(fig, 111, > nrows_ncols=(1, 3), > axes_pad=0.1, > share_all=True, > cbar_mode='single', > cbar_pad=0.05, > cbar_size=0.08, > ) > > Is this solve your problem? > Regards, > > -JJ > Thanks Jae-Joon: Since I couldn't see any problem with removing adjustable='box' from Basemap, I went ahead and did it (and added an example that uses AxesGrid). AFAICT, a problem will only occur if the user explicit does ax_set_adjustable('datalim'). -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX : (303)497-6449 NOAA/OAR/PSD R/PSD1 Email : Jef...@no... 325 Broadway Office : Skaggs Research Cntr 1D-113 Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg
On 6/10/10 3:28 PM, Benjamin Root wrote: > > > On Thu, Jun 10, 2010 at 1:00 PM, Jae-Joon Lee <lee...@gm... > <mailto:lee...@gm...>> wrote: > > On Thu, Jun 10, 2010 at 12:47 PM, Benjamin Root <ben...@ou... > <mailto:ben...@ou...>> wrote: > > P.S. - I have found a 'bug' of sorts with using 'box-forced' for > Basemap and > > AxesGrid. For the displayed plot, if one were to zoom in on one > of the > > plots, the other plots will zoom in as well (which I think is > neat), but > > they won't update their bbox to completely match the zoomed-in > axes. I > > guess this would be an argument against using 'box-forced'? > > By default, x-axis is shared along the axes in a same column and > y-axis is shared along the axes in a same raw. i.e., in your example, > only the y-axis are shared which I think is the source of your issue. > > http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axesgrid > > I think what you want is to use share_all=True. > > grid = AxesGrid(fig, 111, > nrows_ncols=(1, 3), > axes_pad=0.1, > share_all=True, > cbar_mode='single', > cbar_pad=0.05, > cbar_size=0.08, > ) > > Is this solve your problem? > Regards, > > -JJ > > > Not that it was a "problem" per se, just merely an observation I had. > Anyway, I tried that and indeed, zooming on one box zoomed all of the > other boxes the same way. Might be good to include in the basemap > examples, maybe? > > Thanks, > Ben Root Ben: I've added a new example (fcstmaps_axesgrid.py) that does this. -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX : (303)497-6449 NOAA/OAR/PSD R/PSD1 Email : Jef...@no... 325 Broadway Office : Skaggs Research Cntr 1D-113 Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg
