JJ,
Thank you for sharing this. Although I have to admit I'm a bit surprised by
what
it takes to accomplish this, I think I will be able to use your class to do
what I need
to do, or at least get a lot of the way there.
Cheers,
-adam.
On Tue, Sep 9, 2008 at 5:34 PM, Jae-Joon Lee <[EMAIL PROTECTED]> wrote:
> Adam,
>
> I needed a same thing a while ago and I ended up with a custom class.
> Although this need some more work, try and see if it fits your need in
> case you want to avoid the little arithmetic that John mentioned.
> The python file and a example plot are attached.
>
> I wanted the padding between the subaxes is conserved even if the
> figure size changes (and something more), so the implementation got
> little bit hackish and much longer than I initially expected, but it
> works for me.
> A simple use case is included in the file (I'm afraid that there are
> not much documentation).
>
>
> Briefly,
>
>
> import matplotlib.pyplot as plt
> from mpl_multiaxes import MultiPane_Subplot
>
> F = plt.figure(1)
> F.clf()
>
> mp = MultiPane_Subplot(F, subplot_pos=(1, 1, 1),
> nrows_ncols = (3, 2),
> n_pane=5,
> pane_direction="row", # or "column"
> axes_pad_inch=0.0,
> )
>
> F.add_subplot(mp)
>
>
> In the above example, MultiPane_Subplot is a subclass of the Subplot
> which contains subaxes. You set number of rows and columns for your
> subaxes grid. If the number of subaxes is smaller than nrows*ncols,
> you explicitly set it with n_pane.
>
> After this, each subaxes is accessed as mp[0], mp[1], and so on. They
> are subclass of Axes. So you may use any drawing method that Axes
> class has. As mp is subclass of Subplot, it is also an axes. I
> consider it as a kind of master axes. Anything you plot in this axes
> is also drawn in all of its subaxes. Also note that xaxis and yaxis
> are shared among these subaxes, therefore they have same xlim, ylim.
> etc.
>
> Regards,
>
> -JJ
>
>
> On Tue, Sep 9, 2008 at 8:12 AM, Adam <[EMAIL PROTECTED]> wrote:
> >
> > John,
> >
> >> By default, matplotlib will resize your axes to preserve the aspect
> >> ratio of your image, which in the case of your 23x25 images is not
> >> equal. You can override this behavior by setting aspect='auto'
> >>
> >> for i in range(6):
> >> fig1.add_subplot(2,3,i+1)
> >> pylab.imshow(data, aspect='auto')
> >
> > This gets rid of the blank space, but at the expense of the aspect ratio,
> as
> > you mention. Isn't there away to preserve the aspect ratios of the
> > individual
> > sub-images, and just remove the white space between them? I really to
> not
> > want to mess with the images themselves.
> >
> > cheers,
> > adam.
> >
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