spines versus subplotzero

#1

I'm trying to understand some of the changes in 0.99, for example, the recommended way of getting a plot so that the axes cross at the origin (i.e., the axes are in the middle of the plot). I see two examples that seem to give this:

http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html

http://matplotlib.sourceforge.net/examples/axes_grid/simple_axisline2.html

Is one or the other of these methods the recommended way to get a plot with axes in the middle that cross at the origin? Or are they both good and apply to different situations?

Thanks,

Jason

···

--
Jason Grout

#2

I'll let Andrew and JJ fill in some color, since they wrote the spine
and axes_grid, respectively, but both are good. The spines are in the
mainline and JJ's solution is in a toolkit, so when in doubt go with
something in the mainline since that is more likely to be stable.
Both JJ and Andrew will be attending the scipy sprint this year (if
you're going to be there be sure to stop by), and one of the items on
our agenda is to incorporate their work into a unified API in the
mainline. So there may be some changes to one or both approaches, but
hopefully soon we will have most of the feature set of both in our
main axis code.

JDH

···

On Sun, Aug 2, 2009 at 2:14 AM, <jason-sage@...2130...> wrote:

I'm trying to understand some of the changes in 0.99, for example, the
recommended way of getting a plot so that the axes cross at the origin
(i.e., the axes are in the middle of the plot). I see two examples that
seem to give this:

http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html

http://matplotlib.sourceforge.net/examples/axes_grid/simple_axisline2.html

Is one or the other of these methods the recommended way to get a plot
with axes in the middle that cross at the origin? Or are they both good
and apply to different situations?

#3

Yes, using spines will be best in most situation.

The problem with using axes_grid toolkit is that some mpl commands
that changes the properties of the ticks and ticklabels do not work.

I think you may consider to use axes_grid if you want to keep both of
the bottom and top axis, which I guess would be very rare.

-JJ

···

On Sun, Aug 2, 2009 at 8:59 AM, John Hunter<jdh2358@...287...> wrote:

On Sun, Aug 2, 2009 at 2:14 AM, <jason-sage@...2130...> wrote:

I'm trying to understand some of the changes in 0.99, for example, the
recommended way of getting a plot so that the axes cross at the origin
(i.e., the axes are in the middle of the plot). I see two examples that
seem to give this:

http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html

http://matplotlib.sourceforge.net/examples/axes_grid/simple_axisline2.html

Is one or the other of these methods the recommended way to get a plot
with axes in the middle that cross at the origin? Or are they both good
and apply to different situations?

I'll let Andrew and JJ fill in some color, since they wrote the spine
and axes_grid, respectively, but both are good. The spines are in the
mainline and JJ's solution is in a toolkit, so when in doubt go with
something in the mainline since that is more likely to be stable.
Both JJ and Andrew will be attending the scipy sprint this year (if
you're going to be there be sure to stop by), and one of the items on
our agenda is to incorporate their work into a unified API in the
mainline. So there may be some changes to one or both approaches, but
hopefully soon we will have most of the feature set of both in our
main axis code.

JDH

------------------------------------------------------------------------------
Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
trial. Simplify your report design, integration and deployment - and focus on
what you do best, core application coding. Discover what's new with
Crystal Reports now. http://p.sf.net/sfu/bobj-july
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users