matplotlib-devel Mailing List for matplotlib

All,
The polar plot function ignores unitized data units in the v0.91-maint branch, I have yet to test it with the main branch.
Currently the xaxis and yaxis manage the unit conversion, but since a PolarAxes does not have and x and y Axis object there is
nothing to do the conversion and it gets skipped, one possibility is to have the PolarAxes manage a pair of converters for the
'theta' and 'r' axes.
I plan to really test out the main branch later this month and will give feedback if this exists in the main branch.
--James Evans

On Sun, Jan 27, 2008 at 11:43:16AM -0500, Darren Dale wrote:
> He also asked if it would be a good idea to render multiple figures into a tab 
> widget instead of creating multiple windows. Its an interesting idea, but 
> since the size of each figure may vary, it would mean each figure would have 
> to be rendered into a scrollable area. That might be a useful thing to do in 
> general, because we could then render figures that are larger than the 
> screen, but then we would need a new way to change the size of the canvas 
> because it wouldn't be coupled with the size of the window like it is now. 
> Maybe this is too disruptive a change.
In most cases the window containing a figure will be resizable, and the
graph will adjust itself accordingly. Rendering onto a scrollable canvas
wouldn't be very useful because you see the data without seeing the axes, 
which is probably not what you want.
What is more of a concern is whether you want to see two figures at 
once (side by side) or whether you want to focus in on one figure to 
the exclusion of the others. Even for the same dataset, you will want 
to switch between these modes of viewing. This would seem to require 
a notion of 'figure groups' in the pylab interface to control which 
window the figure would be created in, combined with eclipse-like 
'tearable tabs' so you can rearrange the figures however you want.
 - Paul