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Showing 2 results of 2

From: Jae-Joon L. <lee...@gm...> - 2010年03月13日 22:33:50
Thanks for the report.
A fix has been committed in r8191 (maint. branch) and r8292 (head).
Give it a try and let me know of any problems.
Regards,
-JJ
On Sat, Mar 13, 2010 at 4:49 PM, Ray Speth <sp...@mi...> wrote:
> Hello,
>
> I am encountering a problem with the legend entries for scatter plots when
> setting a figure DPI different from the default of 72. When the DPI is
> higher than 72, the markers in the legend become disproportionately large
> and get scrunched together. It looks like what is happening is the marker
> size is being transformed twice, and the offsets are not being transformed
> at all.
>
> I have tried to debug it, and it looks like the problem is the way that the
> DrawingArea that contains the legend interacts with the Collection object.
> To fix the spacing, the _transOffset property of the Collection needs to be
> set, but the transform being applied by the DrawingArea ends up scaling the
> marker size instead.
>
> I have attached a sample script which shows the problem. I am using the
> current development version of matplotlib checked out from git, with Python
> 2.6.2. The issue also exists in version 0.99.1.
>
> Thanks,
> Ray Speth
>
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>
From: Ray S. <sp...@MI...> - 2010年03月13日 21:50:11
Attachments: scatterdbg.py
Hello,
I am encountering a problem with the legend entries for scatter plots 
when setting a figure DPI different from the default of 72. When the DPI 
is higher than 72, the markers in the legend become disproportionately 
large and get scrunched together. It looks like what is happening is the 
marker size is being transformed twice, and the offsets are not being 
transformed at all.
I have tried to debug it, and it looks like the problem is the way that 
the DrawingArea that contains the legend interacts with the Collection 
object. To fix the spacing, the _transOffset property of the Collection 
needs to be set, but the transform being applied by the DrawingArea ends 
up scaling the marker size instead.
I have attached a sample script which shows the problem. I am using the 
current development version of matplotlib checked out from git, with 
Python 2.6.2. The issue also exists in version 0.99.1.
Thanks,
Ray Speth

Showing 2 results of 2

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