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
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
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
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:adam.n.fra...@gmail.com]
Sent: Thursday, May 27, 2010 10:44 AM
To:
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).
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.j.j...@gmail.com wrote:
ax1 = subplot(121)
ax2 = subplot(122, sharex=ax1, sharey=ax1)
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
