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 gokhanse...@gmail.com 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#174; Parallel Studio Eval
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 proactively, and fine-tune applications for parallel performance.
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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
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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 lee.j.j...@gmail.com 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 gokhanse...@gmail.com
 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#174; 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
--
Download Intel#174; 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