matplotlib-users

[Matplotlib-users] How can I avoid sharey tick ovelap?

[David T. <dav...@gm...>]

Hi all,

      I use sharey functionality on a regular basis for my plots.
Nice,but ticks are sometime overlapping and are unreadable in the top-left
corner (see figure joined).
Also joined, a small script reproducing the problem.

How could I avoid this overlapping?

Thanks

David

Re: [Matplotlib-users] How can I avoid sharey tick ovelap?

[Pierre GM <pgm...@gm...>]

> How could I avoid this overlapping?

What about deleting your first tick  on ax2, with
>>> ax2.set_xticks(ax2.get_xticks()[1:])
at the end of your code ?

Re: [Matplotlib-users] How can I avoid sharey tick ovelap?

[Darren D. <dd...@co...>]

On Friday 24 November 2006 3:10 pm, Pierre GM wrote:
> > How could I avoid this overlapping?
>
> What about deleting your first tick  on ax2, with
>
> >>> ax2.set_xticks(ax2.get_xticks()[1:])
>
> at the end of your code ?

Or, you can change the formatter of your yaxis to OldScalarFormatter, which 
renders the scientific notation in each tick label, rather than at the top of 
the axis.

Re: [Matplotlib-users] How can I avoid sharey tick ovelap?

[Pierre GM <pgm...@gm...>]

On Friday 24 November 2006 15:14, Darren Dale wrote:

> Or, you can change the formatter of your yaxis to OldScalarFormatter, which
> renders the scientific notation in each tick label, rather than at the top
> of the axis.

Thinking about it: is there a way to grab this scientific notation ? The idea 
would be to get the corresponding object as a string, and update the ylabel 
with it.

Re: [Matplotlib-users] How can I avoid sharey tick ovelap?

[Darren D. <dd...@co...>]

On Friday 24 November 2006 3:34 pm, Pierre GM wrote:
> On Friday 24 November 2006 15:14, Darren Dale wrote:
> > Or, you can change the formatter of your yaxis to OldScalarFormatter,
> > which renders the scientific notation in each tick label, rather than at
> > the top of the axis.
>
> Thinking about it: is there a way to grab this scientific notation ? The
> idea would be to get the corresponding object as a string, and update the
> ylabel with it.

Yes, the scientific notation is a matplotlib text object, which you can grab 
like this:

plot([0,1e10])
a=gca()
t=a.yaxis.get_offset_text()

and then you can get the string:

s=t.get_text()

Darren

Re: [Matplotlib-users] How can I avoid sharey tick ovelap?

[David T. <dav...@gm...>]

Well... deleting the first is not a solution for me
My app use pan/zoom tool for manual adjustment of the plot.
if I put the line you proposed at the end of my code, the x upper labels are
not
dynamically updated anymore and could be that one end bellow the "scaling
factor" "x1e4" of the y labels...

Change the formatter of the yaxis to OldScalarFormatter do the trick but I
would prefer to use the default formatter.
Would it be possible to move the "x1e4" to the left to avoid the
overlapping?

By the way I've just discover kind of bug: the scaling factor of the x top
axis is displayed on the x bottom axis (???) (see bottom right of the new
example).
I join a new example reproducing both problems.


2006/11/24, Pierre GM < pgm...@gm...>:
>
>
> > How could I avoid this overlapping?
>
> What about deleting your first tick  on ax2, with
> >>> ax2.set_xticks(ax2.get_xticks()[1:])
> at the end of your code ?
>

Re: [Matplotlib-users] How can I avoid sharey tick ovelap?

[David T. <dav...@gm...>]

Note: same problem applied for sharex...

2006/11/24, David TREMOUILLES <dav...@gm...>:
>
> Well... deleting the first is not a solution for me
> My app use pan/zoom tool for manual adjustment of the plot.
> if I put the line you proposed at the end of my code, the x upper labels
> are not
> dynamically updated anymore and could be that one end bellow the "scaling
> factor" "x1e4" of the y labels...
>
> Change the formatter of the yaxis to OldScalarFormatter do the trick but I
> would prefer to use the default formatter.
> Would it be possible to move the "x1e4" to the left to avoid the
> overlapping?
>
> By the way I've just discover kind of bug: the scaling factor of the x top
> axis is displayed on the x bottom axis (???) (see bottom right of the new
> example).
> I join a new example reproducing both problems.
>
>
> 2006/11/24, Pierre GM < pgm...@gm...>:
> >
> >
> > > How could I avoid this overlapping?
> >
> > What about deleting your first tick  on ax2, with
> > >>> ax2.set_xticks(ax2.get_xticks()[1:])
> > at the end of your code ?
> >
>
>
>

Re: [Matplotlib-users] How can I avoid sharey tick ovelap?

[Darren D. <dd...@co...>]

On Friday 24 November 2006 3:46 pm, David TREMOUILLES wrote:
> Well... deleting the first is not a solution for me
> My app use pan/zoom tool for manual adjustment of the plot.
> if I put the line you proposed at the end of my code, the x upper labels
> are not
> dynamically updated anymore and could be that one end bellow the "scaling
> factor" "x1e4" of the y labels...
>
> Change the formatter of the yaxis to OldScalarFormatter do the trick but I
> would prefer to use the default formatter.
> Would it be possible to move the "x1e4" to the left to avoid the
> overlapping?
>
> By the way I've just discover kind of bug: the scaling factor of the x top
> axis is displayed on the x bottom axis 

The patch at the end of this post *should* render the scaling factor above the 
xaxis labels on the top axis. It should, but it doesn't. Instead, it renders 
the scaling factor overlapping the tick labels on the top axis. I don't 
understand this behavior, considering the scaling factor is properly rendered 
if the bottom axis is the one that is labeled.

As for overlapping with twinx and twiny, I don't know how best to proceed 
here. The offset_text's parent axis would have to inspect its own ticklabels 
as well as the ticklabels of the OTHER axis, and based on their extent, find 
a new location for the offset_text. This is starting to get in the realm of 
requiring a layout manager in order to implement properly.

I'm preparing for a professional meeting next week (anyone else going to MRS 
in Boston?) and don't have time to continue working on this. Perhaps the 
patch is enough to get someone else pointed in the right direction.

Darren


Index: lib/matplotlib/axis.py
===================================================================
--- lib/matplotlib/axis.py      (revision 2898)
+++ lib/matplotlib/axis.py      (working copy)
@@ -868,7 +868,7 @@
         offsetText.set_transform( blend_xy_sep_transform( 
self.axes.transAxes,
                                                      identity_transform() ))
         self._set_artist_props(offsetText)
-        self.offset_text_position='bottom'
+##        self.offset_text_position='bottom'
         return offsetText

     def get_label_position(self):
@@ -923,13 +923,28 @@
         boxes of all the ticklabels
         """
         x,y = self.offsetText.get_position()
-        if not len(bboxes):
-            bottom = self.axes.bbox.ymin()
+        position = self.get_ticks_position()
+        if position == 'top':
+            if not len(bboxes):
+                top = self.axes.bbox.ymax()
+            else:
+                bbox = bbox_all(bboxes)
+                top = bbox.ymax()
+            self.offsetText.set_position((x, 
top+self.OFFSETTEXTPAD*self.figure.dpi.get()/72.0))
         else:
-            bbox = bbox_all(bboxes)
-            bottom = bbox.ymin()
-        self.offsetText.set_position((x, 
bottom-self.OFFSETTEXTPAD*self.figure.dpi.get()/72.0))
+            if not len(bboxes):
+                bottom = self.axes.bbox.ymin()
+            else:
+                bbox = bbox_all(bboxes)
+                bottom = bbox.ymin()
+            self.offsetText.set_position((x, 
bottom-self.OFFSETTEXTPAD*self.figure.dpi.get()/72.0))

+    def set_offset_position(self, position):
+        assert position == 'top' or position == 'bottom'
+
+        if position == 'top': self.offsetText.set_va('bottom')
+        else: self.offsetText.set_va('top')
+
     def set_ticks_position(self, position):
         """
         Set the ticks position (top, bottom, both or default)
@@ -946,24 +961,28 @@
         ticks.extend( self.minorTicks )

         if position == 'top':
+            self.set_offset_position('top')
             for t in ticks:
                 t.tick1On = False
                 t.tick2On = True
                 t.label1On = False
                 t.label2On = True
         elif position == 'bottom':
+            self.set_offset_position('bottom')
             for t in ticks:
                 t.tick1On = True
                 t.tick2On = False
                 t.label1On = True
                 t.label2On = False
         elif position == 'default':
+            self.set_offset_position('bottom')
             for t in ticks:
                 t.tick1On = True
                 t.tick2On = True
                 t.label1On = True
                 t.label2On = False
         else:
+            self.set_offset_position('bottom')
             for t in ticks:
                 t.tick1On = True
                 t.tick2On = True
@@ -1042,7 +1061,7 @@
         offsetText.set_transform(blend_xy_sep_transform(self.axes.transAxes,
                                                         
identity_transform()) )
         self._set_artist_props(offsetText)
-        self.offset_text_position='left'
+##        self.offset_text_position='left'
         return offsetText

     def get_label_position(self):