Re: [Matplotlib-users] Sharing axes on multiple subplots

2010-03-23 Thread Jae-Joon Lee
In the current implementation, sharing the axis does not mean sharing its scale.
This is not a subplots-specific issue, but applies to all kind of axes sharing.

So you need to change the scale of all the axes even though they have
shared axis.
What seems to be a better approach to me is to initialize "subplots"
with proper scale.

f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2,2, sharey=True,
   subplot_kw=dict(yscale="log"))

Regards,

-JJ


On Mon, Mar 22, 2010 at 1:18 PM, Gökhan Sever  wrote:
> Hello,
>
> I am testing the newly added subplots function in ipython -pylab with the
> following code:
>
> f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2,2, sharey=True)
> ax1.plot(np.random.random(20))
> ax2.plot(np.random.random(20))
> ax3.plot(np.random.random(20))
> ax4.plot(np.random.random(20))
>
> For some reason scaling the y-axes logaritmically works only on the focused
> figure canvas, the rest of the subplots are scaled in a distorted fashion.
> Axes labels change to proper notation but the scaling stays as if linear
> along with the data. See for better description:
> http://img408.imageshack.us/img408/7149/logscale.png
>
> Any ideas?
>
> --
> Gökhan
>
> --
> Download Intel® Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
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>

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Re: [Matplotlib-users] Sharing axes on multiple subplots

2010-03-23 Thread Gökhan Sever
Yes, that makes it work.

Thank you JJ.

On Tue, Mar 23, 2010 at 10:58 AM, Jae-Joon Lee  wrote:

> In the current implementation, sharing the axis does not mean sharing its
> scale.
> This is not a subplots-specific issue, but applies to all kind of axes
> sharing.
>
> So you need to change the scale of all the axes even though they have
> shared axis.
> What seems to be a better approach to me is to initialize "subplots"
> with proper scale.
>
> f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2,2, sharey=True,
>   subplot_kw=dict(yscale="log"))
>
> Regards,
>
> -JJ
>
>
> On Mon, Mar 22, 2010 at 1:18 PM, Gökhan Sever 
> wrote:
> > Hello,
> >
> > I am testing the newly added subplots function in ipython -pylab with the
> > following code:
> >
> > f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2,2, sharey=True)
> > ax1.plot(np.random.random(20))
> > ax2.plot(np.random.random(20))
> > ax3.plot(np.random.random(20))
> > ax4.plot(np.random.random(20))
> >
> > For some reason scaling the y-axes logaritmically works only on the
> focused
> > figure canvas, the rest of the subplots are scaled in a distorted
> fashion.
> > Axes labels change to proper notation but the scaling stays as if linear
> > along with the data. See for better description:
> > http://img408.imageshack.us/img408/7149/logscale.png
> >
> > Any ideas?
> >
> > --
> > Gökhan
> >
> >
> --
> > Download Intel® Parallel Studio Eval
> > Try the new software tools for yourself. Speed compiling, find bugs
> > proactively, and fine-tune applications for parallel performance.
> > See why Intel Parallel Studio got high marks during beta.
> > http://p.sf.net/sfu/intel-sw-dev
> > ___
> > Matplotlib-users mailing list
> > Matplotlib-users@lists.sourceforge.net
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
> >
>



-- 
Gökhan
--
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Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
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