Hello,
I have run into a problem with the bbox_inches='tight' option which allows a
tight bounding box to be computed for a plot. In the following example:
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as mpl
fig = mpl.figure()
ax = fig.add_subplot(1,1,1)
ax.text(-0.2,0.5,'te
The currently implemented bounding box algorithm is very simple and it
basically only accounts the title, axis label and ticklabels etc. I
thought about implementing a general algorithm that accounts all the
visible artist, but I found it very difficult (at least for me) given
the support of the sp
On Wed, Jun 2, 2010 at 2:46 PM, Denis Laxalde wrote:
> That would indeed be a better approach. Can somebody points me to the
> particular methods/attributes to look at ?
>
As far as I can see, there is no public methods/attributes.
Can you file a bug so that Reinier (or others) can pick this up l
Well, the link is still not back, so I will probe you a bit further. You
say that axes_grid is provided for backward compatibility, does that mean
that I should be using axes_grid1 for new code? I have noticed differences
in behavior if I import axes_grid versus axes_grid1. For example, my
color
On Thu, Jun 3, 2010 at 12:52 PM, Benjamin Root wrote:
> Well, the link is still not back, so I will probe you a bit further. You
> say that axes_grid is provided for backward compatibility, does that mean
> that I should be using axes_grid1 for new code? I have noticed differences
> in behavior
I want to generate a 2-d figure with a (fixed) color scale that does
not vary with the range of the data being plotted.
How do I do this? Attempts to specify vimin and vmax appear to be ignored.
The following example:
#
import numpy
data = numpy.zeros(shape=(240,240),dtype=int)
data[ 0: 80]
On Thu, Jun 3, 2010 at 4:00 PM, Jim Vickroy wrote:
> How do I do this? Attempts to specify vimin and vmax appear to be ignored.
>
Hmm,
vmin and vmax should work.
cax= ax.imshow(data, interpolation='bilinear', vmin=-1, vmax=1)
If these are still ignored, what the following line prints?
pri
Jae-Joon Lee wrote:
On Thu, Jun 3, 2010 at 4:00 PM, Jim Vickroy wrote:
How do I do this? Attempts to specify vimin and vmax appear to be ignored.
Hmm,
vmin and vmax should work.
cax= ax.imshow(data, interpolation='bilinear', vmin=-1, vmax=1)
If these are still ignored, what th
On 06/03/2010 10:00 AM, Jim Vickroy wrote:
> I want to generate a 2-d figure with a (fixed) color scale that does
> not vary with the range of the data being plotted.
>
> How do I do this? Attempts to specify vimin and vmax appear to be ignored.
>
> The following example:
>
> #
> import numpy
> da
Eric Firing wrote:
On 06/03/2010 10:00 AM, Jim Vickroy wrote:
I want to generate a 2-d figure with a (fixed) color scale that does
not vary with the range of the data being plotted.
How do I do this? Attempts to specify vimin and vmax appear to be ignored.
The following example:
#
import
On 06/03/2010 10:43 AM, Jim Vickroy wrote:
> Eric Firing wrote:
>> On 06/03/2010 10:00 AM, Jim Vickroy wrote:
>>
>>> I want to generate a 2-d figure with a (fixed) color scale that does
>>> not vary with the range of the data being plotted.
>>>
>>> How do I do this? Attempts to specify vimin and v
OK, upon a more careful review of the code, I made a simple(-minded)
error. Specifying vmin and vmax do work (as everyone already knew).
Thanks to Jae-Joon and Eric for their quick replies. and valuable
suggestions.
-- jv
Jim Vickroy wrote:
I want to generate a 2-d figure with a (fixed) co
> -Original Message-
> From: Christoph Gohlke [mailto:cgoh...@uci.edu]
> Sent: Sunday, May 30, 2010 3:41 PM
> To: matplotlib-users@lists.sourceforge.net
> Subject: [Matplotlib-users] leading whitespace in text
>
> Hello,
>
> consider the following simple code:
>
> import matplotlib
> fro
On 6/3/2010 5:20 PM, phob...@geosyntec.com wrote:
>> -Original Message-
>> From: Christoph Gohlke [mailto:cgoh...@uci.edu]
>> Sent: Sunday, May 30, 2010 3:41 PM
>> To: matplotlib-users@lists.sourceforge.net
>> Subject: [Matplotlib-users] leading whitespace in text
>>
>> Hello,
>>
>> consi
On 06/03/2010 02:29 PM, Christoph Gohlke wrote:
>
>
> On 6/3/2010 5:20 PM, phob...@geosyntec.com wrote:
>>> -Original Message-
>>> From: Christoph Gohlke [mailto:cgoh...@uci.edu]
>>> Sent: Sunday, May 30, 2010 3:41 PM
>>> To: matplotlib-users@lists.sourceforge.net
>>> Subject: [Matplotlib-u
On Thu, Jun 3, 2010 at 12:22 PM, Jae-Joon Lee wrote:
> On Thu, Jun 3, 2010 at 12:52 PM, Benjamin Root wrote:
> > Well, the link is still not back, so I will probe you a bit further. You
> > say that axes_grid is provided for backward compatibility, does that mean
> > that I should be using axes
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