I don't think this is just an issue of "bbox_inches" option. For
example, if you create an axes of rect=[0,0,1,1] and save the figure
(w/o bbox_inches option), you will see a similar behavior.
Also, I believe that the result depends on the backends.
I think this kind of issue is quite difficult to resolve and I doubt
if this will be solved anytime soon.
Any contribution will be very much appreciated.
Regards,
-JJ
On Sat, Jul 31, 2010 at 5:48 AM, Damon McDougall
<d.mcdoug...@warwick.ac.uk> wrote:
> Aha! Even without the text, i.e. setting label1On = False for all the major
> ticks, the behaviour I see is that with bbox_inches = 'tight' and pad_inches
> = 0.0 I get the saved figure which includes the black border line for the
> bottom and left edges, but not the top and right edges. This may have
> something to do with it. Maybe it's an issue with the bounding box not being
> 'inclusive' and leaving out the end points?
>
> Regards,
> -- Damon
>
> --------------------------
> Damon McDougall
> Mathematics Institute
> University of Warwick
> Coventry
> CV4 7AL
> d.mcdoug...@warwick.ac.uk
>
>
>
> On 30 Jul 2010, at 20:33, Eric Firing wrote:
>
>> On 07/30/2010 06:32 AM, Damon McDougall wrote:
>>> Hmm, it seems as though tick labels get clipped on the top and on the right
>>> when passing bbox_inches='tight' and pad_inches=0.0. I wouldn't expect this
>>> behaviour. Is there perhaps a bug in Bbox.union that's causing this?
>>>
>>
>> Not likely. Much more likely is a problem in calculating the rendered
>> size of the text.
>>
>> Eric
>>
>>> Regards,
>>> -- Damon
>>>
>>> --------------------------
>>> Damon McDougall
>>> Mathematics Institute
>>> University of Warwick
>>> Coventry
>>> CV4 7AL
>>> d.mcdoug...@warwick.ac.uk
>>>
>>>
>>>
>>> On 30 Jul 2010, at 16:03, Tony S Yu wrote:
>>>
>>>>
>>>> On Jul 30, 2010, at 10:54 AM, Damon McDougall wrote:
>>>>
>>>>> Hi,
>>>>>
>>>>> I'm interested in fiddling around with the matplotlib source. Let's say
>>>>> we set up various things:
>>>>>
>>>>> from matplotlib.figure import Figure()
>>>>> from matplotlib.backends.backend_pdf import FigureCanvasPdf as
>>>>> FigureCanvas
>>>>>
>>>>> fig = Figure()
>>>>> canvas = FigureCanvas(fig)
>>>>> ax = fig.add_subplot(1, 1, 1)
>>>>> fig.savefig('asd.pdf', bbox_inches='tight')
>>>>>
>>>>> I would like to know what exactly happens when bbox_inches='tight' is
>>>>> passed to savefig(). I've been searching in the figure.py source and
>>>>> nowhere can I see the bbox_inches='tight' keyword being tested for in the
>>>>> savefig() method. Having said that, all of the kwargs do get passed on to
>>>>> the canvas.print_figure() method, so I looked in the backend_pdf.py file
>>>>> but couldn't find a print_figure() method. Could someone point me in the
>>>>> right direction?
>>>>>
>>>>> Regards,
>>>>> -- Damon
>>>>
>>>> That's funny: I was just looking at bbox_inches='tight' recently. You'll
>>>> find the relevant section in matplotlib.backend_bases.print_figure.
>>>>
>>>> Best,
>>>> -Tony
>>>>
>>>
>>>
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